Commit Graph

1041 Commits

Author SHA1 Message Date
slaren
adc9ff3841
llama-bench : allow using a different printer for stderr with -oe (#7722)
compare-commits.sh : hide stdout, use -oe to print markdown
2024-06-04 14:32:42 +02:00
nickp27
9422c5e34b
[SYCL] Update rpc-server.cpp to include SYCL backend (#7682)
* Update rpc-server.cpp to include SYCL backend

Draft PR to address inclusion of SYCL backend for RPC server

* Update rpc-server.cpp
2024-06-02 12:13:54 +03:00
Yazan Agha-Schrader
2e666832e6
server : new UI (#7633)
* ic

* migrate my eary work

* add the belonging stuff: css,favicon etc

* de prompts

* chore: Update HTML meta tags in index.html file

* add api-key css classes

* some necessary fixes

* Add API key CSS classes and update styling in style.css

* clean the code

* move API to the top, rearrange param sliders. update css

* add tooltips to the parameters with comprehensible explanations

* fix FloatField and BoolField tooltips

* fix grammar field width

* use template literales for promptFormats.js

* update const ModelGenerationInfo

* remove ms per token, since not relevant for most webui users and use cases

* add phi-3 prompt template

* add phi3 to dropdown

* add css class

* update forgotten css theme

* add user message suffix

* fix chatml & add llama3 format

* fix llama3 prompt template

* more prompt format fixes

* add more comon stop tokens

* add missing char

* do not separate with new line or comma

* move prompt style

* add hacky llama2 prompt solution, reduce redundancy in promptFormats.js

* fix toggle state localstorage

* add cmd-r prompt et reduce redundancy

* set default prompt to empty

* move files, clean code

* fix css path

* add a button to the new ui

* move new ui to "/public" due to otherwise problematic CORS behaviour

* include new ui in cpp

* fix wrong link to old ui

* renaming to ensure consistency

* fix typos "prompt-format" -> "prompt-formats"

* use correct indent

* add new ui files to makefile

* fix typo
2024-06-01 22:31:48 +03:00
HanishKVC
2ac95c9d56
SimpleChat: Simple histogram/repeatMatching driven garbageTrimming, Settings UI, Streaming mode, OpenAi Compat (Model, Authorization Bearer), Save/Restore session, Auto Settings UI (#7548)
* SimpleChat:DU:BringIn local helper js modules using importmap

Use it to bring in a simple trim garbage at end logic, which is
used to trim received response.

Also given that importmap assumes esm / standard js modules, so
also global variables arent implicitly available outside the
modules. So add it has a member of document for now

* SimpleChat:DU: Add trim garbage at end in loop helper

* SimpleChat:DU:TrimGarbage if unable try skip char and retry

* SimpleChat:DU: Try trim using histogram based info

TODO: May have to add max number of uniq chars in histogram at
end of learning phase.

* SimpleChat:DU: Switch trim garbage hist based to maxUniq simple

Instead of blindly building histogram for specified substring
length, and then checking if any new char within specified min
garbage length limit, NOW exit learn state when specified maxUniq
chars are found. Inturn there should be no new chars with in
the specified min garbage length required limit.

TODO: Need to track char classes like alphabets, numerals and
special/other chars.

* SimpleChat:DU: Bring in maxType to the mix along with maxUniq

Allow for more uniq chars, but then ensure that a given type of
char ie numerals or alphabets or other types dont cross the
specified maxType limit. This allows intermixed text garbage
to be identified and trimmed.

* SimpleChat:DU: Cleanup debug log messages

* SimpleChat:UI: Move html ui base helpers into its own module

* SimpleChat:DU:Avoid setting frequence/Presence penalty

Some models like llama3 found to try to be over intelligent by
repeating garbage still, but by tweaking the garbage a bit so that
it is not exactly same. So avoid setting these penalties and let
the model's default behaviour work out, as is.

Also the simple minded histogram based garbage trimming from end,
works to an extent, when the garbage is more predictable and
repeatative.

* SimpleChat:UI: Add and use a para-create-append helper

Also update the config params dump to indicate that now one needs
to use document to get hold of gMe global object, this is bcas of
moving to module type js.

Also add ui.mjs to importmap

* SimpleChat:UI: Helper to create bool button and use it wrt settings

* SimpleChat:UI: Add Select helper and use it wrt ChatHistoryInCtxt

* SimpleChat:UI:Select: dict-name-value, value wrt default, change

Take a dict/object of name-value pairs instead of just names.
Inturn specify the actual value wrt default, rather than the
string representing that value.

Trap the needed change event rather than click wrt select.

* SimpleChat:UI: Add Div wrapped label+element helpers

Move settings related elements to use the new div wrapped ones.

* SimpleChat:UI:Add settings button and bring in settings ui

* SimpleChat:UI:Settings make boolean button text show meaning

* SimpleChat: Update a bit wrt readme and notes in du

* SimpleChat: GarbageTrim enable/disable, show trimmed part ifany

* SimpleChat: highlight trim, garbage trimming bitmore aggressive

Make it easy for end user to identified the trimmed text.

Make garbage trimming logic, consider a longer repeat garbage
substring.

* SimpleChat: Cleanup a bit wrt Api end point related flow

Consolidate many of the Api end point related basic meta data into
ApiEP class.

Remove the hardcoded ApiEP/Mode settings from html+js, instead use
the generic select helper logic, inturn in the settings block.

Move helper to generate the appropriate request json string based
on ApiEP into SimpleChat class itself.

* SimpleChat:Move extracting assistant response to SimpleChat class

so also the trimming of garbage.

* SimpleChat:DU: Bring in both trim garbage logics to try trim

* SimpleChat: Cleanup readme a bit, add one more chathistory length

* SimpleChat:Stream:Initial handshake skeleton

Parse the got stream responses and try extract the data from it.

It allows for a part read to get a single data line or multiple
data line. Inturn extract the json body and inturn the delta
content/message in it.

* SimpleChat: Move handling oneshot mode server response

Move handling of the oneshot mode server response into SimpleChat.

Also add plumbing for moving multipart server response into same.

* SimpleChat: Move multi part server response handling in

* SimpleChat: Add MultiPart Response handling, common trimming

Add logic to call into multipart/stream server response handling.

Move trimming of garbage at the end into the common handle_response
helper.

Add new global flag to control between oneshot and multipart/stream
mode of fetching response. Allow same to be controlled by user.

If in multipart/stream mode, send the stream flag to the server.

* SimpleChat: show streamed generative text as it becomes available

Now that the extracting of streamed generated text is implemented,
add logic to show the same on the screen.

* SimpleChat:DU: Add NewLines helper class

To work with an array of new lines. Allow adding, appending,
shifting, ...

* SimpleChat:DU: Make NewLines shift more robust and flexible

* SimpleChat:HandleResponseMultiPart using NewLines helper

Make handle_response_multipart logic better and cleaner. Now it
allows for working with the situation, where the delta data line
got from server in stream mode, could be split up when recving,
but still the logic will handle it appropriately.

ALERT: Rather except (for now) for last data line wrt a request's
response.

* SimpleChat: Disable console debug by default by making it dummy

Parallely save a reference to the original func.

* SimpleChat:MultiPart/Stream flow cleanup

Dont try utf8-decode and newlines-add_append if no data to work on.

If there is no more data to get (ie done is set), then let NewLines
instance return line without newline at end, So that we dont miss
out on any last-data-line without newline kind of scenario.

Pass stream flag wrt utf-8 decode, so that if any multi-byte char
is only partly present in the passed buffer, it can be accounted
for along with subsequent buffer. At sametime, bcas of utf-8's
characteristics there shouldnt be any unaccounted bytes at end,
for valid block of utf8 data split across chunks, so not bothering
calling with stream set to false at end. LATER: Look at TextDecoder's
implementation, for any over intelligence, it may be doing..
If needed, one can use done flag to account wrt both cases.

* SimpleChat: Move baseUrl to Me and inturn gMe

This should allow easy updating of the base url at runtime by the
end user.

* SimpleChat:UI: Add input element helper

* SimpleChat: Add support for changing the base url

This ensures that if the user is running the server with a
different port or wants to try connect to server on a different
machine, then this can be used.

* SimpleChat: Move request headers into Me and gMe

Inturn allow Authorization to be sent, if not empty.

* SimpleChat: Rather need to use append to insert headers

* SimpleChat: Allow Authorization header to be set by end user

* SimpleChat:UI+: Return div and element wrt creatediv helpers

use it to set placeholder wrt Authorization header.

Also fix copy-paste oversight.

* SimpleChat: readme wrt authorization, maybe minimal openai testing

* SimpleChat: model request field for openai/equivalent compat

May help testing with openai/equivalent web services, if they
require this field.

* SimpleChat: readme stream-utf-8 trim-english deps, exception2error

* Readme: Add a entry for simplechat in the http server section

* SimpleChat:WIP:Collate internally, Stream mode Trap exceptions

This can help ensure that data fetched till that point, can be
made use of, rather than losing it.

On some platforms, the time taken wrt generating a long response,
may lead to the network connection being broken when it enters
some user-no-interaction related power saving mode.

* SimpleChat:theResp-origMsg: Undo a prev change to fix non trim

When the response handling was moved into SimpleChat, I had changed
a flow bit unnecessarily and carelessly, which resulted in the non
trim flow, missing out on retaining the ai assistant response.

This has been fixed now.

* SimpleChat: Save message internally in handle_response itself

This ensures that throwing the caught exception again for higher
up logic, doesnt lose the response collated till that time.

Go through theResp.assistant in catch block, just to keep simple
consistency wrt backtracing just in case.

Update the readme file.

* SimpleChat:Cleanup: Add spacing wrt shown req-options

* SimpleChat:UI: CreateDiv Divs map to GridX2 class

This allows the settings ui to be cleaner structured.

* SimpleChat: Show Non SettingsUI config field by default

* SimpleChat: Allow for multiline system prompt

Convert SystemPrompt into a textarea with 2 rows. Reduce
user-input-textarea to 2 rows from 3, so that overall
vertical space usage remains same.

Shorten usage messages a bit, cleanup to sync with settings ui.

* SimpleChat: Add basic skeleton for saving and loading chat

Inturn when ever a chat message (system/user/model) is added,
the chat will be saved into browser's localStorage.

* SimpleChat:ODS: Add a prefix to chatid wrt ondiskstorage key

* SimpleChat:ODS:WIP:TMP: Add UI to load previously saved chat

This is a temporary flow

* SimpleChat:ODS:Move restore/load saved chat btn setup to Me

This also allows being able to set the common system prompt
ui element to loaded chat's system prompt.

* SimpleChat:Readme updated wrt save and restore chat session info

* SimpleChat:Show chat session restore button, only if saved session

* SimpleChat: AutoCreate ChatRequestOptions settings to an extent

* SimpleChat: Update main README wrt usage with server
2024-06-02 02:20:18 +10:00
Georgi Gerganov
a323ec60af
server : update js (#7670) 2024-05-31 22:23:04 +03:00
Galunid
9c4c9cc83f
Move convert.py to examples/convert-legacy-llama.py (#7430)
* Move convert.py to examples/convert-no-torch.py

* Fix CI, scripts, readme files

* convert-no-torch -> convert-legacy-llama

* Move vocab thing to vocab.py

* Fix convert-no-torch -> convert-legacy-llama

* Fix lost convert.py in ci/run.sh

* Fix imports

* Fix gguf not imported correctly

* Fix flake8 complaints

* Fix check-requirements.sh

* Get rid of ADDED_TOKENS_FILE, FAST_TOKENIZER_FILE

* Review fixes
2024-05-30 21:40:00 +10:00
Radoslav Gerganov
210d99173d
llama-bench : add support for the RPC backend (#7435) 2024-05-29 14:45:44 +03:00
mgroeber9110
9335b969e8
server: do not remove whitespace at the start of a completion chunk (#7524) 2024-05-28 14:55:51 +10:00
Nathan Epstein
c41767154e
Markdownish code block fix (#7571)
* markdownish codeblock fix

* updating regexes
2024-05-28 14:41:14 +10:00
Ikko Eltociear Ashimine
74b239b3d5
llava : update clip.h (#7580)
overriden -> overridden
2024-05-28 12:48:16 +10:00
Brian
d298382ad9
main: replace --no-special with --special (#7534)
This also flips the default behavior of the output to not include control token by default.
2024-05-27 00:10:17 +10:00
HanishKVC
b9adcbbf92
SimpleChat Completion Mode flexibility and cleanup, Settings gMe, Optional sliding window (#7480)
* SimpleChat: A placeholder system prompt, Use usage msg in code

Just have a alert msg wrt needing javascript enabled in html. And
have usage message from js file. Update the usage message a bit.
So also enable switch session wrt setup_ui call.

Add a possible system prompt as a placeholder for the system-input.

* SimpleChat:CompletionMode: Allow control of Role: prefix

* SimpleChat:Completion: Avoid Role: prefix; Newline only in between

In completion mode

* avoid inserting Role: prefix before each role's message

* avoid inserting newline at the begin and end of the prompt
  message. However if there are multiple role messages, then
  insert newline when going from one role's message to the
  next role's message.

* SimpleChat:CompletionMode: Update readme/usage, trim textarea newline

Readme update wrt completion mode behavior.

Usage help updated wrt completion mode behavior.

When changing from input to textarea elment wrt user input, the last
newline at the end of the user input wrt textarea, was forgotten to be
filtered, this is fixed now. However if user wants to have a explicit
newline they can using shift+enter to insert a newline, that wont be
removed. The extra newline removal logic uses substring and keyup to
keep things simple and avoid some previously noted bugs wrt other
events in the key path as well as IME composition etal.

* SimpleChat:SC: Ensure proper clearing/reseting

previous logic would have cleared/reset the xchat, without doing
the same wrt iLastSys, thus leading to it pointing to a now non
existent role-content entry.

So if a user set a system prompt and used completion mode, it would
have done the half stupid clear, after the model response was got.
Inturn when user tries to send a new completion query, it would
inturn lead to handle_user_submit trying to add/update system prompt
if any, which will fail, bcas iLastSys will be still pointing to a
non existant entry.

This is fixed now, by having a proper clear helper wrt SC class.

* SimpleChat: Update usage note and readme a bit

* SimpleChat:Completion: clear any prev chat history at begining

Previously any chat history including model response to a completion
query would have got cleared, after showing the same to the user,
at the end of handle_user_submit, rather than at the begining.

This gave the flexibility that user could switch from chat mode
to completion mode and have the chat history till then sent to
the ai model, as part of the completion query. However this flow
also had the issue that, if user switches between different chat
sessions, after getting a completion response, they can no longer
see the completion query and its response that they had just got.

The new flow changes the clearing of chat history wrt completion
mode to the begining of handle_user_submit, so that user doesnt
lose the last completion mode query and response, till a new
completion mode query is sent to the model, even if they were to
switch between the chat sessions. At the same time the loss of
flexibility wrt converting previous chat history into being part
of the completion query implicitly doesnt matter, because now
the end user can enter multiline queries.

* SimpleChat:Try read json early, if available

For later

the server flow doesnt seem to be sending back data early, atleast
for the request (inc options) that is currently sent.

if able to read json data early on in future, as and when ai model
is generating data, then this helper needs to indirectly update
the chat div with the recieved data, without waiting for the
overall data to be available.

* SimpleChat: Rename the half asleep mis-spelled global var

* SimpleChat: Common chat request options from a global object

* SimpleChat: Update title, usage and readme a bit

Keep the title simple so that print file name doesnt have chars
that need to be removed.

Update readme wrt some of the new helpers and options.

Change Usage list to a list of lists, add few items and style it
to reduce the margin wrt lists.

* SimpleChat:ChatRequestOptions: max_tokens

As some times based on the query from the user, the ai model may get
into a run away kind of generation with repeatations etal, so adding
max_tokens to try and limit this run away behaviour, if possible.

* SimpleChat: Reduce max_tokens to be small but still sufficient

* SimpleChat: Consolidate global vars into gMe, Display to user

This allows the end user to see the settings used by the logic,
as well as allows users to change/update the settings if they
want to by using devel-tools/console

* SimpleChat:SlidingWindow: iRecentUserMsgCnt to limit context load

This is disabled by default. However if enabled, then in addition
to latest system message, only the last N user messages, after the
latest system message and its reponses from the ai model will be sent
to the ai-model, when querying for a new response.

This specified N also includes the latest user query.

* SimpleChat: placeholder based usage hint for user-in textarea

* SimpleChat: Try make user experience better, if possible

Reduce chat history context sent to the server/ai-model to be
just the system-prompt, prev-user-request-and-ai-response and
cur-user-request, instead of the previous full chat history.
This way if there is any response with garbage/repeatation, it
doesnt mess with things beyond the next question, in some ways.

Increase max_tokens to 1024, so that a relatively large previous
reponse doesnt eat up the space available wrt next query-response.
However dont forget that the server when started should also
be started with a model context size of 1k or more, to be on
safe side.

Add frequency and presence penalty fields set to 1.2 to the set
of fields sent to server along with the user query. So that
the model is partly set to try avoid repeating text in its
response.

* SimpleChat:Add n_predict (equiv max_tokens) for llamacpp server

The /completions endpoint of examples/server doesnt take max_tokens,
instead it takes the internal n_predict, for now add the same on
the client side, maybe later add max_tokens to /completions endpoint
handling.

* SimpleChat: Note about trying to keep things simple yet flexible
2024-05-26 10:56:34 +10:00
Georgi Gerganov
9588f196b1
train : change default FA argument (#7528) 2024-05-25 15:22:35 +03:00
Justine Tunney
00c6390793
main : don't print special tokens with --grammar (#6923)
* main : don't print special tokens with --grammar

The CLI interface was recently changed to print special control tokens
like the </s> stop message one. This token shouldn't be printed if the
grammar flag was passed, unless the grammar specifies it, because that
breaks shell-scriptability.

* main: use seperate stream for control characters

* main: use dprintf and add --ctrl-token-no-out and --ctrl-token-fd-out

* main: dprintf isn't part of the IEEE POSIX standard. Just use write().

* main: remove --ctrl-token-fd-out in favor for fcntl() based detection

* common.cpp: accidentally removed --interactive-first

* main: only merge stdout and control token if not in conversation or grammar mode

* main: rejig control token descriptor handling

* main: must check pipe status on very top of program

* main: renamed --no-special from  --ctrl-token-no-out and other refactoring

* main: refactor ctrl_token_no_out --> no_special

* llama: rename llama_token_is_control_token() to llama_token_is_control()

* main: remove special token file descriptor feature (#5)

---------

Co-authored-by: Brian <mofosyne@gmail.com>
2024-05-25 19:04:03 +10:00
Elton Kola
9791f40258
android : module (#7502)
* move ndk code to a new library

* add gradle file
2024-05-25 11:11:33 +03:00
Mikko Juola
57684331fc
Make tokenize CLI tool have nicer command line arguments. (#6188)
* Make tokenizer.cpp CLI tool nicer.

Before this commit, tokenize was a simple CLI tool like this:

  tokenize MODEL_FILENAME PROMPT [--ids]

This simple tool loads the model, takes the prompt, and shows the tokens
llama.cpp is interpreting.

This changeset makes the tokenize more sophisticated, and more useful
for debugging and troubleshooting:

  tokenize [-m, --model MODEL_FILENAME]
           [--ids]
           [--stdin]
           [--prompt]
           [-f, --file]
           [--no-bos]
           [--log-disable]

It also behaves nicer on Windows now, interpreting and rendering Unicode
from command line arguments and pipes no matter what code page the user
has set on their terminal.

* style fix: strlen(str) == 0 --> *str == 0

* Simplify tokenize.cpp; by getting rid of handling positional style arguments.

It must now be invoked with long --model, --prompt etc. arguments only.
Shortens the code.

* tokenize.cpp: iostream header no longer required

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: brian khuu <mofosyne@gmail.com>
2024-05-25 11:14:42 +10:00
Neo Zhang
0df0aa8e43
add build shared lib in win release package (#7438) 2024-05-24 10:06:56 +08:00
Georgi Gerganov
d48c88cbd5
ggml : remove ggml_flash_attn and ggml_flash_ff (#7463)
ggml-ci
2024-05-23 10:00:44 +03:00
Georgi Gerganov
fbf777d2b9
main : minor (#7462) 2024-05-23 09:43:49 +03:00
HanishKVC
1e374365d1
SimpleChat: a simple and dumb web front end for testing /chat/completions and /completions end points and try chat (#7350)
* SimpleChat: Add a skeletal html page

Contains a div placeholder for showing chat messages till now

a text-input for allowing user to enter next chat message/query
to the model.

a submit button to allow sending of the user entered message and
chat till now to the model.

* SimpleChat: A js skeleton with SimpleChat class

Allows maintaining an array of chat message.

Allows adding chat message (from any of the roles be it system,
user, assistant, ...)

Allows showing chat messages till now, in a given div element.

* SimpleChat: request_json, globals, startme

* SimpleChatJS: Roles Class, submitClick

Define Role class with static members corresponding to the roles.

Update startme to

* Get hold of the ui elements.

* Attach a click handler to submit button, which adds the user input
  to xchats array and shows the chat messages till now in chat div
  element.

Trap DOMContentLoaded to trigger startme

* SimpleChat:HTML: Bring in the js file

* SimpleChat: Rather value wrt input text element

* SimpleChat: Also add completions related prompt

* SimpleChat: Use common helper logic wrt json data

* SimpleChat: Move handling of submit request into its own func

* SimpleChat: Try handshake with llm over its web service endpoint

* SimpleChat:JS: Extract model response and show to user

* SimpleChat:JS: Messages/Prompt, indicate working to end user

* SimpleChat: Try keep input element in view

* SimpleChat: Diff user/assistant msgs, Make input wider

Also show a default message to user

Also add some metas

* SimpleChat: Move into its own sub directory to avoid confusion

* SimpleChat:sh: Add simple shell script to run python3 http.server

So one needs to run the llm server locally
then run this script and access it using a local browser

* SimpleChat:JS: Try trap enter key press wrt input text field

So user can either press submit button or press enter key

* SimpleChat: Allow user to select chat or completion mode

* SimpleChat: Dont submit if already submitted and waiting

Also make chat the default selection wrt mode

* SimpleChat:JS: Handle difference in response

Try read the assistance response from appropriate field in the
response got.

Also examples/server seems to return the response in a slightly
different field, so try account for that also.

* SimpleChat:JS: Force completion mode be single message by default

* SimpleChat: Add a simple readme file

* SimpleChat:HTML: Cleanup/structure UI a bit, Add input for system

* SimpleChat:Allow system prompt to be set, if provided before user

* SimpleChat: Ignore empty user input, without trimming

* SimpleChat:Alert user if they provide sysprompt late or change it

* SimpleChat: Move handling systemprompt into its own func

* SimpleChat:HTML: Add a style for system role message

* SimpleChat: Update the readme file

* SimpleChat:CSS: Move style info into its own css file

To keep it simple, clean and seperate so that things are not
unnecessarily cluttered.

* SimpleChat:CSS: Allow for chat div to be scrollable

* SimpleChat:JS: Try ensure the last entry in chat is visible

Needed because now only the chat div is scrollable and not the full
page.

In last commit the chat div size was fixed to 75% vertical height,
so the full page no longer scrolls, so the old bring user-input
element to view wont work, instead now the last element in the
chat div should be brought into view.

* SimpleChat:JS: bottom of element visible, Set focus to user input

As the generated text could be multiple lines and occupy more space
that the full scrollable div's vertical space, make the bottom of
the last element (which can be such a generated text) in the div
visible by scrolling.

Ensure that the user input box has focus

* SimpleChat: Update notes a bit. Try keep browser happy

Avoid browser quirk mode with DOCTYPE.

Help with accessibility a bit by specifying the language explicitly.

Specify the char encoding explicitly, inturn utf-8 is a safe bet,
even with intermixing of languages if reqd in future.

Add a cache-control http-equiv meta tag, which in all probability
will be ignored.

Defer js loading and execution, just for fun and future, not that
critical here as it stands now.

* SimpleChat:HTML:Group user input+btn together; Note about multichat

* SimpleChat:JS: Allow for changing system prompt anytime for future

* SimpleChat:Readme: Note about handle_systemprompt begin/anytime

* SimpleChat:HTML: Add viewport meta for better mobile friendliness

Without this the page content may look too small.

* SimpleChat:HtmlCss: Cleanup UI flow

set margin wrt vmin rather than vw or vh so portrait/landscape ok.

Use flex and flex-grow to put things on the same line as well as
distribute available space as needed. Given two main elements/line
so it remains simple.

In each line have one element with grows and one sits with a basic
comfortably fixed size.

* SimpleChat: textarea for multiline user chat, inturn shift+enter 4 enter

* SimpleChat: Make vertical layout better responsive (flex based)

Also needed to make things cleaner and properly usable whether
landscape or portrait, after changing to multiline textarea rather
than single line user input.

Avoid hardcoding the chat-till-now display area height, instead
make it a flex-growable within a flex column of ui elements within
a fixed vertical area.

* SimpleChat: Rename simplechat.html to index.html, update readme

Instead of providing a seperate shell script, update the readme wrt
how to run/use this web front end.

* SimpleChat: Screen fixed view and scrolling, Printing full

* SimpleChat:JS:CI: Avoid space at end of jsdoc param line

* SimpleChat:JS: MultiChat initial skeleton

Will help maintain multiple independent chats in future

* SimpleChat:JS: Move system prompt begin/anytime into SimpleChat

* SimpleChat:JS:Keep MultiChatUI simple for now

Worry about different chats with different servers for later.

* SimpleChat:JS: Move handle submit into MultiChat, build on same

Create an instance of MultiChatUI and inturn a instance of chat
session, which is what the UI will inturn work on.

* SimpleChat:JS: Move to dictionary of SimpleChat, instead of array

* SimpleChat: Move ui elements into MultiChatUI, Update el IDs

Move ui elements into MultiChatUI, so that current handleUserSubmit
doesnt need to take the element arguments. Also in future, when
user is allowed to switch between different chat sessions, the
UI can be updated as needed by using the elements in UI already
known to MultiChatUI instance.

Rename the element ids' so that they follow a common convention,
as well as one can identify what the element represents in a more
consistant manner.

* SimpleChat:MCUI:Show available chat sessions, try switch btw them

Previous commits brought in / consolidated existing logic into
MultiChatUI class.

Now start adding logic towards multichat support

* show buttons indicating available chat sessions

* on sessin button click, try switch to that session

* SimpleChat:MCUI: Store and use current chat session id

Also

allow to switch chat session optionally, wrt some of the related
helpers.

setup for two chat sessions by default.

* SimpleChat:MCUI: Delay enabling user-input to avoid race

Re-enable user-input, only after response to a user query has been
updated to the chat-div. This ensures that if user tries to switch
chat session, it wont be allowed till chat-request-response flow is
done.

* SimpleChat: Take care of system prompt

Helper to get the latest system prompt and inturn use same to
set the system prompt ui, when switching.

Ensure that system prompt is set if and when enter key is pressed.

* SimpleChat:GetSystemLatest, fix a oversight.

* SimpleChat:MCUI: Allow selected chat-session btn to be highlighted

Also have a general helper for setting class of children.

* SimpleChat:Cleanup corners

Show system prompt in chat space, when it is set by pressing enter,
as a feedback to user.

Alert user, if they try to switch chat session in the middle of
waiting for a response from the ai model.

* SimpleChat:MCUI: Ensure req-resp failure doesnt lock up things

* SimpleChat:MCUI: Support for new chat sessions

Also a general create button helper.

* SimpleChat:MCUI: CreateSessionBtn helper, use wrt NewChat

Also fix a oversight wrt using stale data wrt the list of chat
sessions.

* SimpleChat:MCUI: NewChat btn first before existing chat sessions

* SimpleChat:MCUI:CornerCases:Skip new chat, show only if current

Skip NewChat if user cancels or if one waiting for response from
the ai model.

Dont show a chat with newly got ai model response, if current chat
session has changed, some how. Chat session shouldnt be allowed to
change, if there is a pending response, but still as a additional
sanity check.

* SimpleChat: Update readme, title, show usage if no chat to show

* SimpleChat: Cleanup the log/dialog messages a bit
2024-05-23 03:53:21 +10:00
Georgi Gerganov
6ff13987ad
common : normalize naming style (#7462)
* common : normalize naming style

ggml-ci

* common : match declaration / definition order

* zig : try to fix build
2024-05-22 20:04:20 +03:00
slaren
b18532a4ef
phi3 : duplicate rope factors in each layer (#7447)
* phi3 : duplicate rope factors in each layer

phi3 : set phi-3 model type as 14B

model loader : simplify the process for duplicating model tensors

llama-bench : remove default pg test

* replace bool parameters in llama_model_loader with named flags
2024-05-22 16:10:46 +02:00
liuwei-git
201cc11afa
llama : add phi3 128K model support (#7225)
* add phi3 128k support in convert-hf-to-gguf

* add phi3 128k support in cuda

* address build warnings on llama.cpp

* adjust index value in cuda long rope freq factors

* add long rope support in ggml cpu backend

* make freq factors only depend on ctx size

* remove unused rope scaling type 'su' frin gguf converter

* fix flint warnings on convert-hf-to-gguf.py

* set to the short freq factor when context size is small than trained context size

* add one line of comments

* metal : support rope freq_factors

* ggml : update ggml_rope_ext API to support freq. factors

* backends : add dev messages to support rope freq. factors

* minor : style

* tests : update to use new rope API

* backends : fix pragma semicolons

* minor : cleanup

* llama : move rope factors from KV header to tensors

* llama : remove tmp assert

* cuda : fix compile warning

* convert : read/write n_head_kv

* llama : fix uninitialized tensors

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-05-21 23:28:32 +03:00
Olivier Chafik
e402de364b
grammars: fix resampling logic regression (#7424) 2024-05-21 20:40:00 +01:00
Amir
11474e756d
examples: cache hf model when --model not provided (#7353)
* examples: cache hf model when --model not provided

* examples: cache hf model when --model not provided

* examples: cache hf model when --model not provided

* examples: cache hf model when --model not provided

* examples: cache hf model when --model not provided
2024-05-21 17:13:12 +03:00
jaime-m-p
d7e852c1bc
Tokenizer SPM fixes for phi-3 and llama-spm (bugfix) (#7425)
* Update brute force test: add_special
* Update brute force test: default values for add_bos_token and add_eos_token
* Enable rtrim when pre-inserting BOS

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* Revert "server : fix test regexes"
2024-05-21 14:39:48 +02:00
jaime-m-p
917dc8cfa6
Tokenizer SPM fixes for phi-3 and llama-spm (#7375)
* Update brute force test: special tokens
* Fix added tokens
  - Try to read 'added_tokens.json'.
  - Try to read 'tokenizer_config.json'.
  - Try to read 'tokenizer.json'.
* Fix special tokens rtrim

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* server : fix test regexes
2024-05-20 20:15:57 +02:00
Johannes Gäßler
20385cebcc
perplexity: update README FP16 results [no ci] (#7413) 2024-05-20 18:15:38 +02:00
Georgi Gerganov
3bc10cb485
server : fix temperature + disable some tests (#7409)
* server : fix temperature

* server : disable tests relying on parallel determinism

* ci : change server Debug -> RelWithDebInfo
2024-05-20 22:10:03 +10:00
Georgi Gerganov
1cc0155d04
server : tuning tests (#7388)
* server : don't pass temperature as string

* server : increase timeout

* tests : fix the fix 0.8f -> 0.8

ggml-ci

* tests : set explicit temperature
2024-05-20 10:16:41 +03:00
Georgi Gerganov
e932094d58
server : return error on too large embedding input (#7389) 2024-05-20 08:56:05 +03:00
Georgi Gerganov
2789baf480
tests : fix --keep_split -> --keep-split (#7374) 2024-05-20 08:55:09 +03:00
Fred Douglas
1ea2a0036e
quantize : fix --keep-split check (#7374) 2024-05-19 19:37:04 +03:00
Johannes Gäßler
1b01f06db0
server: add test for token probs (#7347) 2024-05-19 16:26:02 +02:00
Johannes Gäßler
41858392e1
server: fix seed being reported back (#7382) 2024-05-19 17:06:33 +03:00
Georgi Gerganov
854d365aba
cmake : update android comments (#7341) 2024-05-19 11:01:01 +03:00
Georgi Gerganov
511182eabb
android : use "ci-android" branch for CI (#7341)
* android : use "ci-android" branch for CI

* ggml : disable SIMD exp and silu for 32-bit ARM

ggml-ci

* android : do not fetch, use add_subdirectory instead

* cmake : provide binary dir
2024-05-18 20:40:39 +10:00
Johannes Gäßler
cb42c29427
server: correct --threads documentation [no ci] (#7362) 2024-05-18 11:10:47 +02:00
strawberrymelonpanda
ca57e0f35e
perplexity : ndot progress and show stats with < 100 tasks (#7348)
Fix floating point error with ndot printing, allow end stats on lower task numbers if multiple-choice tasks.
2024-05-18 10:57:08 +03:00
Radoslav Gerganov
f4bd8b3d26
rpc : set SO_REUSEADDR for the server socket (#7320)
ref: #7293
2024-05-17 17:25:44 +03:00
Radoslav Gerganov
ee94172d33
server : add support for the RPC backend (#7305)
ref: #7292
2024-05-17 10:00:17 +03:00
Leon Knauer
9c4fdcbec8
[Server] Added --verbose option to README [no ci] (#7335) 2024-05-17 10:11:03 +10:00
Pierrick Hymbert
24ecb58168
Revert "server bench: fix bench not waiting for model load (#7284)" (#7334)
This reverts commit 583fd6b000.
2024-05-16 20:43:45 +02:00
Radoslav Gerganov
9afdffe70e rpc : get available mem for the CPU backend
This can be overridden with the -m command line option

ref: #7293
2024-05-16 12:04:08 +03:00
Radoslav Gerganov
3b3963c55c rpc : add command line arg for specifying backend memory
ref: #7293
2024-05-16 09:58:29 +03:00
Vaibhav Srivastav
ad52d5c259
doc: add references to hugging face GGUF-my-repo quantisation web tool. (#7288)
* chore: add references to the quantisation space.

* fix grammer lol.

* Update README.md

Co-authored-by: Julien Chaumond <julien@huggingface.co>

* Update README.md

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

---------

Co-authored-by: Julien Chaumond <julien@huggingface.co>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-05-16 15:38:43 +10:00
slaren
344f9126cc
ggml : tag ggml_tensor::backend as deprecated (#7290) 2024-05-15 15:08:48 +02:00
dm4
ea3b0590ee
embedding : free the batch after execution (#7297) 2024-05-15 15:01:12 +03:00
Johannes Gäßler
583fd6b000
server bench: fix bench not waiting for model load (#7284) 2024-05-15 08:44:16 +02:00
Steve Grubb
4f0263633b
server: free sampling contexts on exit (#7264)
* server: free sampling contexts on exit

This cleans up last leak found by the address sanitizer.

* fix whitespace

* fix whitespace
2024-05-14 16:11:24 +02:00
Brian
1265c670fd
Revert "move ndk code to a new library (#6951)" (#7282)
This reverts commit efc8f767c8.
2024-05-14 16:10:39 +03:00
Radoslav Gerganov
5e31828d3e
ggml : add RPC backend (#6829)
* ggml : add RPC backend

The RPC backend proxies all operations to a remote server which runs a
regular backend (CPU, CUDA, Metal, etc).

* set TCP_NODELAY

* add CI workflows

* Address review comments

* fix warning

* implement llama_max_devices() for RPC

* Address review comments

* Address review comments

* wrap sockfd into a struct

* implement get_alignment and get_max_size

* add get_device_memory

* fix warning

* win32 support

* add README

* readme : trim trailing whitespace

* Address review comments

* win32 fix

* Address review comments

* fix compile warnings on macos
2024-05-14 14:27:19 +03:00
Elton Kola
efc8f767c8
move ndk code to a new library (#6951) 2024-05-14 17:30:30 +10:00
Ryuei
27f65d6267
docs: Fix typo and update description for --embeddings flag (#7026)
- Change '--embedding' to '--embeddings' in the README
- Update the description to match the latest --help output
- Added a caution about defining physical batch size
2024-05-14 15:20:47 +10:00
k.h.lai
30e70334f7
llava-cli: fix base64 prompt (#7248) 2024-05-14 00:02:36 +10:00
Johannes Gäßler
1c570d8bee
perplexity: add BF16 vs. FP16 results (#7150) 2024-05-13 13:03:27 +02:00
Benjamin Findley
e586ee4259
change default temperature of OAI compat API from 0 to 1 (#7226)
* change default temperature of OAI compat API from 0 to 1

* make tests explicitly send temperature to OAI API
2024-05-13 12:40:08 +10:00
Xuan Son Nguyen
72c177c1f6
fix system prompt handling (#7153) 2024-05-11 17:28:10 +02:00
Steve Grubb
988631335a
server : free llama_batch on exit (#7212)
* [server] Cleanup a memory leak on exit

There are a couple memory leaks on exit of the server. This hides others.
After cleaning this up, you can see leaks on slots. But that is another
patch to be sent after this.

* make tab into spaces
2024-05-11 11:13:02 +03:00
Johannes Gäßler
5ae3426b0b
server: fix reported top tokens for temperature 0 (#7203) 2024-05-11 10:11:28 +02:00
Joan Fontanals
b83cc3f5b3
llama : add Jina Embeddings architecture (#6826)
* feat: first things to do

* feat: create tensors for Jina architecture

* fix: use other tensors

* feat: embedding gets results

* fix: fix usage of ALIBI

* fix: clean prints

* fix: do some cleanup unused vars

* fix: revert changes to Makefile and CMakeLists

* fix: revert some changes

* fix: fix small detail

* fix: fix convert formatting

* fix: fix linting and editor

* feat: set proper vocab settings

* fix: JinaBertForMaskedLM registration

* feat: support q_normalization and k_normalization in Jina arch

* feat: handle gpt2 tokenizer with Jina architecture

* feat: example comments in embedding

* feat: rename Jina Bert to Jina Bert V2

* fix: add some changes as per review

* feat: proper KQ_pos for Jina embeddings

* feat: add capacity to load models ES and DE for Spanish

* llama : fix pre-tokenizers

* ggml : full ALiBi support

* ggml : update ggml_soft_max_ext() CUDA, SYCL

* ggml : ggml_flash_attn_ext() support ALiBi (CPU)

* ggml : ggml_flash_attn_ext() support ALiBi (Metal)

* ggml : fix warning

* ggml : ggml_flash_attn_ext() support ALiBi (CUDA)

ggml-ci

* minor : clean-up

* embedding : add warning about missing SEP

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-05-11 10:46:09 +03:00
slaren
e849648888
llama-bench : add pp+tg test type (#7199) 2024-05-10 18:03:54 +02:00
Justine Tunney
4e3880978f
Fix memory bug in grammar parser (#7194)
The llama.cpp grammar parser had a bug where forgetting to add a closing
quotation mark to strings would cause parsing to crash. Anyone running a
server on a public endpoint is advised to upgrade. To reproduce this bug

    ./llamafile -m foo.gguf -p bar --grammar 'root::="'

Credit for discovering and reporting this issue goes to Eclypsium
Security Researcher Richard Johnson <Richard.johnson@eclypsium.com>.
2024-05-10 21:01:08 +10:00
HanishKVC
f89fe2732c
Main+: optionally allow special tokens from user in interactive mode (#7097)
@hanishkvc added a new `--interactive-specials` flag which would allow for inserting special tokens from user side into the embedding stream.
2024-05-10 20:21:58 +10:00
Andrei
d11afd6652
llava : fix moondream support (#7163)
* Revert "Revert "llava : add support for moondream vision language model (#6899)""

This reverts commit 9da243b36a.

* Fix num_positions and embeddings initialization
2024-05-10 09:41:10 +03:00
slaren
eaf4bd8b39
eval-callback : fix conversion to float (#7184) 2024-05-10 01:04:12 +02:00
Ahmet Zeer
07cd41d096
TypoFix (#7162) 2024-05-09 10:16:45 +02:00
compilade
f98eb31c51
convert-hf : save memory with lazy evaluation (#7075)
* convert-hf : begin refactoring write_tensor

* convert : upgrade to sentencepiece v0.2.0

* convert-hf : remove unused n_dims in extra_*_tensors

* convert-hf : simplify MoE weights stacking

* convert-hf : flake8 linter doesn't like semicolons

* convert-hf : allow unusual model part names

For example, loading `model-00001-of-00001.safetensors` now works.

* convert-hf : fix stacking MoE expert tensors

`torch.stack` and `torch.cat` don't do the same thing.

* convert-hf : fix Mamba conversion

Tested to work even with a SentencePiece-based tokenizer.

* convert : use a string for the SentencePiece tokenizer path

* convert-hf : display tensor shape

* convert-hf : convert norms to f32 by default

* convert-hf : sort model part names

`os.listdir` is said to list files in arbitrary order.
Sorting the file names should let "model-00009-of-00042.safetensors"
be loaded before "model-00010-of-00042.safetensors".

* convert-hf : use an ABC for Model again

It seems Protocol can't be used as a statically type-checked ABC,
because its subclasses also can't be instantiated. (why did it seem to work?)

At least there's still a way to throw an error when forgetting to define
the `model_arch` property of any registered Model subclasses.

* convert-hf : use a plain class for Model, and forbid direct instantiation

There are no abstract methods used anyway,
so using ABC isn't really necessary.

* convert-hf : more consistent formatting of cmdline args

* convert-hf : align the message logged for converted tensors

* convert-hf : fix Refact conversion

* convert-hf : save memory with lazy evaluation

* convert-hf : flake8 doesn't like lowercase L as a variable name

* convert-hf : remove einops requirement for InternLM2

* convert-hf : faster model parts loading

Instead of pre-loading them all into a dict, iterate on the tensors
in the model parts progressively as needed in Model.write_tensors

Conversion for some architectures relies on checking for the presence
of specific tensor names, so for multi-part models, the weight map is read
from the relevant json file to quickly get these names up-front.

* convert-hf : minor changes for consistency

* gguf-py : add tqdm as a dependency

It's small, and used for a progress bar
in GGUFWriter.write_tensors_to_file
2024-05-08 18:16:38 -04:00
Johannes Gäßler
c12452c7ae
JSON: [key] -> .at(key), assert() -> GGML_ASSERT (#7143) 2024-05-08 21:53:08 +02:00
Georgi Gerganov
9da243b36a
Revert "llava : add support for moondream vision language model (#6899)"
This reverts commit 46e12c4692.
2024-05-08 22:14:39 +03:00
JohnnyB
bd1871fa2b
server : add themes + favicon (#6848)
* Added themes support with two sample themes and a favicon.

* Newline

* Newline

* Newline

* Trailing whitespace

* Increased opacity for contrast

* Increase opacity.

Check actions cancelled for some other priority job and I can't seem to manually re-run them, so MOAR OPACITY

* Opacity action trigger.

Trying to re-trigger the cancelled action.

* One more opacity adjustment

This Actions pipeline is failing for random issues.

* Delete examples/server/themes/buttons_top/completion.js

This will be served from the static string built-in to server.

* Delete examples/server/themes/buttons_top/index.js

This will be served from the static string built-in to server.

* Delete examples/server/themes/wild/completion.js

This will be served from the static string built-in to server.

* Delete examples/server/themes/buttons_top/json-schema-to-grammar.mjs

This will be served from the static string built-in to server.

* Delete examples/server/themes/wild/index.js

This will be served from the static string built-in to server.

* Delete examples/server/themes/wild/json-schema-to-grammar.mjs

This will be served from the static string built-in to server.

* Replaced underscore.
2024-05-08 22:12:06 +03:00
Dawid Potocki
83330d8cd6
main : add --conversation / -cnv flag (#7108) 2024-05-08 17:32:32 +03:00
Johan
911b3900dd
server : add_special option for tokenize endpoint (#7059) 2024-05-08 15:27:58 +03:00
Xuan Son Nguyen
1fd9c1741d
clean up json_value & server_log (#7142) 2024-05-08 13:24:14 +02:00
Justine Tunney
3855416027
ggml : introduce bfloat16 support (#6412)
* Introduce bfloat16 support

Many models on Hugging Face (e.g. Mistral, TinyLLaMA) use bfloat16 as
their canonical floating point format.

      ┌sign
      │
      │   ┌exponent
      │   │
      │   │      ┌mantissa
      │   │      │
      │┌──┴───┐┌─┴───┐
    0b0000000000000000 brain16

This encoding has the same number of exponent bits as float32. That
makes conversion relatively straightforward, even in the absence of
hardware support. For example, converting brain16 to binary32 means
simply shifting 16 bits to the left.

      ┌sign
      │
      │   ┌exponent
      │   │
      │   │      ┌mantissa
      │   │      │
      │┌──┴───┐┌─┴───────────────────┐
    0b00000000000000000000000000000000 IEEE binary32

The issue is that converting bf16 to fp16 can result in information
loss. Only 13% of bf16 numbers can be precisely represented in fp16
which in practice ends up being 99.71% of Mistral 7b v0.2's weights
however there is currently no way other than fp32 to get the others

      ┌sign
      │
      │  ┌exponent
      │  │
      │  │    ┌mantissa
      │  │    │
      │┌─┴─┐┌─┴──────┐
    0b0000000000000000 IEEE binary16

This change fixes that, by adding a bf16 data type to GGML. Support
for CPU inference has been implemented along with optimizations for
the AVX2, AVX512, and AVX512BF16 ISAs. Perplexity on Mistral 7b 0.2
improves somewhere around -0.0024 to -0.0046 compared to using fp16

* Remove GGML code that's not needed

* Minimize the GGML API surface area for BF16

* Remove bf16 luts

* Make the GGML header look nicer

* Fix documentation

* Apply ggerganov's fixes for test-backend-ops

* Add BF16 code for new ggml_validate_row_data() function
2024-05-08 09:30:09 +03:00
jukofyork
48b2f9c1fc
Fixed save_imatrix to match old behaviour for MoE (#7099)
* Fixed save_imatrix to match old behaviour for MoE

This fix is simple and clear, but unnecessarily doubles the memory overhead..

* Fixed missing idx variable

* Unconditionally increment ncall

Co-authored-by: slaren <slarengh@gmail.com>

* Fixed 2 bugs in save_imatrix()

- Fixed segfault bug because the counts vector needed to be created.
- Fixed pre-existing bug didn't actually add to the counts for "--combine" option.

* ncall needs summing too

* Trailing whitespace

---------

Co-authored-by: slaren <slarengh@gmail.com>
2024-05-08 02:24:16 +02:00
Johannes Gäßler
af0a5b6163
server: fix incorrectly reported token probabilities (#7125)
* server: normalize token probabilities

* fix temperature == 0.0f
2024-05-07 23:07:58 +02:00
Kyle Mistele
260b7c6529
server : update readme with undocumented options (#7013) 2024-05-07 21:44:29 +03:00
RhinoDevel
3af34c1d1b
main : update log text (EOS to EOG) (#7104)
* Update log text (EOS to EOG)

The log text "found EOS" is no longer always correct, here, because there is now an is-EOG check that also returns true for EOT.

* Improve log msg. further by using "an" instead of "some".

As suggested, to avoid misunderstanding (no multiple EOG tokens found, just one).
2024-05-07 20:51:31 +03:00
omahs
04976db7a8
docs: fix typos (#7124)
* fix typo

* fix typos

* fix typo

* fix typos

* fix typo

* fix typos
2024-05-07 18:20:33 +03:00
kunnis
628b299106
Adding support for the --numa argument for llama-bench. (#7080) 2024-05-05 14:17:47 +02:00
Xuan Son Nguyen
842500144e
gguf-split: add --no-tensor-first-split (#7072) 2024-05-04 18:56:22 +02:00
maor-ps
03fb8a002d
If first token generated from the server is the stop word the server will crash (#7038)
This will reproduce the issue in llama13b
{
'prompt': 'Q: hello world \nA: ',
 'stop': ['\n'],
 'temperature': 0.0,
 'n_predict': 10,
 'cache_prompt': True,
 'n_probs': 10
}
2024-05-04 11:06:40 +02:00
l3utterfly
8d608a81b7
main : fix off by one error for context shift (#6921) 2024-05-01 22:27:41 +03:00
Johannes Gäßler
3ea0d36000
Server: add tests for batch size, different seeds (#6950) 2024-05-01 17:52:55 +02:00
Johannes Gäßler
a8f9b07631
perplexity: more statistics, added documentation (#6936)
* perplexity: more statistics, added documentation

* add LLaMA 3 8b scoreboard
2024-04-30 23:36:27 +02:00
Georgi Gerganov
9c67c2773d
ggml : add Flash Attention (#5021)
* ggml : add ggml_flash_attn_ext API

* ggml : fix GQA support in ggml_flash_attn_ext

* ggml : online attention (CPU)

* metal : initial implementation

* metal : f16 precision

* metal : reduce branches

* metal : specialize for head size

* wip : 8 rows per simd group

* wip : 4 rows per simd group

* wip : template for rows per warp

* metal : parallelize across KV size

* metal : parallel reduce across heads

* metal : efficient flash_attn_f16 implementation

* metal : avoid redundant loads of the attention

* metal : scale and mask in matrix form

* metal : fix comment

* llama : avoid ggml_cast, use F32 query

* metal : add parallel reduce version (disabled)

* metal : move output into local memory + optimize

- the result from each simdgroup now stays in the registers
- significantly reduced SRAM usage
- more efficient skipping of -INF blocks
- avoid simdgroup barrier in hot loop
- add comments

* metal : add tests, fix scaling, support C > 32

* metal : improve precision

* ggml : fix f16 mad

* metal : minor

* metal : support Q > 8

* tests : add ATTN tests

* metal : disable buffer allocation logs

* tests : more

* metal : faster inner loop for C == 32

* metal : fix array initialization

* tests : ifdef

* ggml : switch to padded F16 mask for ggml_soft_max, ggml_flash_attn_ext

* ggml : fix ggml_soft_max mask requirement

* cuda : fix soft_max to use correct mask size

* cuda : add flash_attn kernel (wip)

* metal : optimize softmax for C > 32

* metal : optimize softmax

* tests : minor fix

* cuda : avoid zeroing fragments

* tests : update dims

* cuda : fix __hisinf() result check

* cuda : avoid warp_reduce for smax

* cuda : use int instead of int64_t

Noticeably improves performance (thanks to Johannes)

* cuda : make loops use the same loop values

Thanks Johannes again for the tip

* cuda : unroll some of the loops

* cuda : avoid __hisinf branches

* cuda : use half2 in softmax

* cuda : switch to 1 warp for bs > 16

* cuda : speed-up reduce part of the kernel

* cuda : unroll Q*K^T loop

* cuda : fix -INF block check

* cuda : simplify softmax

* cuda : fix matrix names

* cuda : minor

* llama : adapt to F16 KQ_pos

* llama : adapt new models to F16 KQ_mask

* ggml : fix F16 store (ARM NEON)

* llama : fix type of KQ_mask and KQ_pos

* ggml : fix CPU soft_max

* tests : add hs=256

* cuda : fix build

* metal : improve perf via smaller int registers

* cuda : adapt soft_max to F16 mask and pos

* CUDA: faster FlashAttention, kernel for bs == 1

* 16 cols for Phi-2

* no vec for hs, no hs==256 ncols==32 for Volta

* adjust kernel selection logic

* 4 warps, 256 stride for all D

* no ncols == 64

* Multiple parallel blocks for batch size 1

* fix compile warnings

* fix excessive KQ_b loads

* fix cmake build

* fix KV cache padding, NaN from INFINITY (#6438)

* llama : flash_attn cparam + fix defrag

* server: support flash_attn param

* server: bench: enable flash_attn param

* CUDA: refactor host code, dyn. par. blocks

* fix flash_attn_vec_f16 race condition

* flush softmax exp below threshold to 0

* store temp KQ in registers

* Calculate KQ as FP32 if KQV has GGML_PREC_F32

* Add __hgt2_mask implementation for CUDA 11

* fix KQ FP32 precision fpr parallel_blocks > 1

* llama-bench : add -fa,--flash-attn arg

* metal : add BS=1 kernel for flash attention (#6508)

* metal : add BS=1 kernel for flash attention (wip)

* metal : support more than 1 warps

* metal : opts

* metal : opt

* metal : switch to parallel reduce

* metal : reduce registers

* metal : simplify

* metal : initial FA vec kernel

* metal : use F32 attention accumulators

* batched-bench : add fattn arg

* llama : simplify llama_build_kv_store

ggml-ci

* llama : adapt build_olmo to changes

* ggml : fix arm fp16 store on windows

* metal : clean-up

* metal : clean-up kernel code

* metal : minor

* tests : remove benchmarks

ggml-ci

* ggml : fix avx512 const correctness

ggml-ci

* ggml : fix soft_max with bias on CPU

ggml-ci

* common : print --flash-attn in help

* ggml : fix num dimensions in ggml_flash_attn_ext

* llama : force disable flash attention for incompatible models

* ggml : ggml_soft_max support F16/F32 mask/pos

ggml-ci

* cuda : uint -> uint32_t

* cuda : "constexpr dim3" -> "const dim3"

ggml-ci

* cuda : try to fix __hgt2_mask

ggml-ci

* ggml : add TODO's for F16/F32 mask/pos support in other backends

* llama : replace bool need_kq_pos with use_alibi

* llama : prep ALiBi support for BERT models

ggml-ci

* llama : fix n_batch requirements

ggml-ci

* cont

* server : add help for --flash-attn arg

* llama : disable FA for AMD

* tests : remove TMP_ATTN_BENCH

ggml-ci

* llama : support save/load state with FA enabled

ggml-ci

* ci : add CUDA save-load-state tests

ggml-ci

* llama : llama_kv_cache_clear zeroes data + fix save-load seq

ggml-ci

* llama : fix copy-paste errors, add TODO

* llama : disallow incompatible states

* llama : update llama_state_get_size after v_trans field

* metal : remove tmp log

* llama : add static reminder for llama_state_get_size

* metal : fix max nsg

ggml-ci

* ci : fix arg order

ggml-ci

---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
Co-authored-by: Pierrick HYMBERT <pierrick.hymbert@gmail.com>
2024-04-30 12:16:08 +03:00
Olivier Chafik
8843a98c2b
Improve usability of --model-url & related flags (#6930)
* args: default --model to models/ + filename from --model-url or --hf-file (or else legacy models/7B/ggml-model-f16.gguf)

* args: main & server now call gpt_params_handle_model_default

* args: define DEFAULT_MODEL_PATH + update cli docs

* curl: check url of previous download (.json metadata w/ url, etag & lastModified)

* args: fix update to quantize-stats.cpp

* curl: support legacy .etag / .lastModified companion files

* curl: rm legacy .etag file support

* curl: reuse regex across headers callback calls

* curl: unique_ptr to manage lifecycle of curl & outfile

* curl: nit: no need for multiline regex flag

* curl: update failed test (model file collision) + gitignore *.gguf.json
2024-04-30 00:52:50 +01:00
Daniel Bevenius
5539e6fdd1
main : fix typo in comment in main.cpp (#6985)
Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-04-29 13:56:59 -04:00
Olivier Chafik
b8a7a5a90f
build(cmake): simplify instructions (cmake -B build && cmake --build build ...) (#6964)
* readme: cmake . -B build && cmake --build build

* build: fix typo

Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>

* build: drop implicit . from cmake config command

* build: remove another superfluous .

* build: update MinGW cmake commands

* Update README-sycl.md

Co-authored-by: Neo Zhang Jianyu <jianyu.zhang@intel.com>

* build: reinstate --config Release as not the default w/ some generators + document how to build Debug

* build: revert more --config Release

* build: nit / remove -H from cmake example

* build: reword debug instructions around single/multi config split

---------

Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
Co-authored-by: Neo Zhang Jianyu <jianyu.zhang@intel.com>
2024-04-29 17:02:45 +01:00
cpumaxx
ffe666572f
llava-cli : multiple images (#6969)
Co-authored-by: root <root@nenya.lothlorien.ca>
2024-04-29 17:34:24 +03:00
Pierrick Hymbert
b7368332e2
ci: server: tests python env on github container ubuntu latest / fix n_predict (#6935)
* ci: server: fix python env

* ci: server: fix server tests after #6638

* ci: server: fix windows is not building PR branch
2024-04-27 17:50:48 +02:00
Pierrick Hymbert
0c4d489e29
quantize: add imatrix and dataset metadata in GGUF (#6658)
* imatrix: save the dataset file used in the output file

* llama: support kv overrides type string string

* common: factorize KV Overrides parsing between common and server

* quantize: add imatrix n entries and dataset KV metadata
quantize: factorize KV Overrides parsing between common
#6656

* llama: remove kv override str_value initialization as it does not compile on some toolchain

* quantize: add imatrix m_last_call as `quantize.imatrix.chunks_count`

* quantize: add imatrix filename in KV

* llama: add llama_model_kv_override_free

* common: add llama_model_kv_override_free
common: free kv override if used after model loading

* llama: finally move the string KV override value to the stack

* llama : minor

* no need to add a NUL to the std::vector, std::string can be initialized from a pair of iterators.

Co-authored-by: slaren <slarengh@gmail.com>

* kv override: ensure string termination

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: slaren <slarengh@gmail.com>
2024-04-26 20:06:33 +02:00
Pierrick Hymbert
7f5ff558ee
server: stop generation at n_ctx_train if n_predict is not set (#6638)
* server: cap n_predict if not set to n_ctx_train

* server: fix infinite loop

* server: infinite loop, move in process_token
server: infinite loop: set stop limit to true

* minor: spaces

* minor: spaces

* server: include prompt tokens in the EOS limit
2024-04-26 12:15:30 +02:00
Pierrick Hymbert
5790c8dac1
bench: server add stop word for PHI-2 (#6916) 2024-04-26 09:26:16 +02:00
vik
46e12c4692
llava : add support for moondream vision language model (#6899)
* add support for moondream vision language model

This required making the following changes to the CLIP model:

1. Support for patch embedding bias.
2. Make class embedding and pre-layernorm optional.
3. Add support for post-layernorm.

* Update examples/llava/clip.cpp

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-04-25 22:38:31 +03:00
Daniel Bevenius
4ab99d8d47
clip : rename lerp function to avoid conflict (#6894)
This commit renamesthe lerp (linear interpolation) function in clip.cpp
to avoid a conflict with the lerp function in the <cmath> standard C++
library when using c++20.

The motivation for this change is to enable projects that use c++20 to
be able to compile clip.cpp without having to resort to patching it. The
lerp function was added to cmath in version C++20 (202002L) and is why
this is not causing any issue at the moment as C++11/C++17 is currently
used by llama.cpp.

I realize that llama.cpp uses either C++11 (or C++17 in the case for
SYCL) but wanted to ask if this would be an acceptable change just the
same.

Refs: https://en.cppreference.com/w/cpp/numeric/lerp

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-04-25 15:38:14 +03:00
Georgi Gerganov
aa750c1ede
tests : minor bash stuff (#6902)
* tests : minor bash stuff

ggml-ci

* llama : fix build

ggml-ci

* tests : fix CUR_DIR -> ROOT_DIR

ggml-ci

* tests : fix fname

ggml-ci
2024-04-25 14:27:20 +03:00
jiez
1966eb2615
quantize : add '--keep-split' to quantize model into shards (#6688)
* Implement '--keep-split' to quantize model into several shards

* Add test script

* Update examples/quantize/quantize.cpp

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Split model correctly even if tensor id is out-of-order

* Update llama_model_quantize_params

* Fix preci failures

---------

Co-authored-by: z5269887 <z5269887@unsw.edu.au>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-04-25 13:29:35 +03:00
mgroeber9110
3fe847b574
server : do not apply Markdown formatting in code sections (#6850) 2024-04-24 13:54:24 +03:00
Kyle Mistele
37246b1031
common : revert showing control tokens by default for server (#6860)
* fix: revert showing control tokens by default

* feat: revert changes to default behavior of llama_token_to_piece; provide overridden declaration to receive "bool special" param to toggle showing control tokens

* feat: use the overridden declaration of llama_token_to_piece from common/common.cpp to specify "false" so that control tokens are not shown in chat completion responses"

* common : simplify

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-04-24 13:15:29 +03:00
Johannes Gäßler
28103f4832
Server: fix seed for multiple slots (#6835)
* Server: add tests for consistent results

* sampling: separate rng per sampling context
2024-04-24 11:08:36 +02:00
Olivier Chafik
5cf5e7d490
build: generate hex dump of server assets during build (#6661)
* `build`: generate hex dumps of server assets on the fly

* build: workaround lack of -n on gnu xxd

* build: don't use xxd in cmake

* build: don't call xxd from build.zig

* build: more idiomatic hexing

* build: don't use xxd in Makefile (od hackery instead)

* build: avoid exceeding max cmd line limit in makefile hex dump

* build: hex dump assets at cmake build time (not config time)
2024-04-21 18:48:53 +01:00
Georgi Gerganov
40f74e4d73
llama : add option to render special/control tokens (#6807)
* make : fix common dep on llama.h

* llama : add option to render special tokens

* readme : add API change notice

ggml-ci

* swift : fix build
2024-04-21 18:36:45 +03:00
Justine Tunney
89b0bf0d5d
llava : use logger in llava-cli (#6797)
This change removes printf() logging so llava-cli is shell scriptable.
2024-04-21 15:19:04 +03:00
Pedro Cuenca
b97bc3966e
llama : support Llama 3 HF conversion (#6745)
* Support Llama 3 conversion

The tokenizer is BPE.

* style

* Accept suggestion

Co-authored-by: Sourab Mangrulkar <13534540+pacman100@users.noreply.github.com>

* llama : add llama_token_is_eog()

ggml-ci

* llama : auto-detect more EOT tokens when missing in KV data

* convert : replacing EOS token is a hack

* llama : fix codegemma EOT token + add TODOs

* llama : fix model type string for 8B model

---------

Co-authored-by: Sourab Mangrulkar <13534540+pacman100@users.noreply.github.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-04-21 14:50:41 +03:00
Jan Boon
b8109bc013
doc : server tests require llama to be built with curl enabled (#6788) 2024-04-20 18:29:50 +02:00
Pierrick Hymbert
637e9a86c2
server: static: upstream upgrade (#6765) 2024-04-19 13:19:01 +02:00
Austin
8b1b1f4982
train : add general name (#6752)
* llama : make general.name optional

* train: Add 'general.name' to model metadata

Signed-off-by: teleprint-me <77757836+teleprint-me@users.noreply.github.com>

---------

Signed-off-by: teleprint-me <77757836+teleprint-me@users.noreply.github.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-04-19 10:16:45 +03:00
slaren
0d56246f4b
ggml : group all experts in a single ggml_mul_mat_id (#6505)
* ggml : group all experts in a single ggml_mul_mat_id
cuda : improve mmid row copy

* cuda : fix bin bcast with non-cont src0

* test-backend-ops : only run all mul mat tests for base types

* llama : disable moe offloading with SYCL

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-04-18 15:18:48 +02:00
Justine Tunney
8cc91dc63c
ggml : add llamafile sgemm (#6414)
This change upstreams llamafile's cpu matrix multiplication kernels
which improve image and prompt evaluation speed. For starters, Q4_0
and Q8_0 weights should go ~40% faster on CPU. The biggest benefits
are with data types like f16 / f32, which process prompts 2x faster
thus making them faster than quantized data types for prompt evals.

This change also introduces bona fide AVX512 support since tinyBLAS
is able to exploit the larger register file. For example, on my CPU
llama.cpp llava-cli processes an image prompt at 305 tokens/second,
using the Q4_K and Q4_0 types, which has always been faster than if
we used f16 LLaVA weights, which at HEAD go 188 tokens/second. With
this change, f16 LLaVA performance leap frogs to 464 tokens/second.

On Intel Core i9-14900K this change improves F16 prompt perf by 5x.
For example, using llama.cpp at HEAD with Mistral 7b f16 to process
a 215 token prompt will go 13 tok/sec. This change has fixes making
it go 52 tok/sec. It's mostly thanks to my vectorized outer product
kernels but also because I added support for correctly counting the
number of cores on Alderlake, so the default thread count discounts
Intel's new efficiency cores. Only Linux right now can count cores.

This work was sponsored by Mozilla who's given permission to change
the license of this code from Apache 2.0 to MIT. To read more about
what's improved, and how it works, see: https://justine.lol/matmul/
2024-04-16 21:55:30 +03:00
Daniel Bevenius
8a56075b07
gritlm : add --outdir option to hf.sh script (#6699)
This commit updates the hf.sh script usage to include the --outdir option
and specifies the models directory as the output directory.

The motivation for this is to avoid cluttering the root directory with
model files.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-04-16 09:34:06 +03:00
Georgi Gerganov
58227ffdeb
perplexity : require positive --ctx-size arg (#6695) 2024-04-16 09:28:33 +03:00
Olivier Chafik
7593639ce3
main: add --json-schema / -j flag (#6659)
* main: add --json-schema / -j

* json: move json-schema-to-grammar to common lib

* json: fix zig build
2024-04-15 18:35:21 +01:00
Pierrick Hymbert
3272896d79
server : revert "minor layout improvements" (#6684)
This reverts commit b3a96f27f0.
2024-04-15 15:18:47 +03:00
Sigbjørn Skjæret
8800226d65
Fix --split-max-size (#6655)
* Fix --split-max-size

Byte size calculation was done on int and overflowed.

* add tests.sh

* add examples test scripts to ci run

Will autodiscover examples/*/tests.sh scripts and run them.

* move WORK_PATH to a subdirectory

* clean up before and after test

* explicitly define which scripts to run

* add --split-max-size to readme
2024-04-14 13:12:59 +02:00
Neo Zhang Jianyu
de17e3f745
fix memcpy() crash, add missed cmd in guide, fix softmax (#6622)
* disable mmap to fix memcpy crash, add missed cmd in guide, fix softmax

* refactor to disable mmap for SYCL backend

* fix compile error in other os

* refactor the solution, use host buf to fix it, instead of disable mmap

* keep to support mmap()

* use host buff to reduce malloc times

* revert to malloc/free solution, for threaad safe
2024-04-14 10:42:29 +08:00
Pierrick Hymbert
4bd0f93e4a
model: support arch DbrxForCausalLM (#6515)
* model: dbrx convert to gguf
#6344

* llama: support dbrx
#6344

* doc: dbrx: add the model as supported

* scripts: get-wikitext-2 add unzip

* llama: increase maximum experts allowed

* llama: factorize moe graph implementation between grok, mixtral and dbrx


---------

Co-authored-by: Megha Agarwal <16129366+megha95@users.noreply.github.com>
2024-04-13 11:33:52 +02:00
Olivier Chafik
ab9a3240a9
JSON schema conversion: ️ faster repetitions, min/maxLength for strings, cap number length (#6555)
* json: rename python schema converter to make import easier

* server: skip null json_schema / grammar fields

* json: deps management for primitive rules (+ allow null values)

* json: optimize repetitions for minItems/maxItems and regexps: `a{,3}` goes from `"a"? "a"? "a"?` (explosive combos) to `(a (a (a)?)?)?`

* grammars: add troubleshooting section to readme

* json: cap length of numbers to 15 digits before/after decimal point

(avoids infinite gen, e.g. "one third" -> `0.333333333333...`)

* json: unify all repetition code (w/ or w/o sep)

* json: support string minLength/maxLength

* server+json: update server/README w/ result_format

* nits

* json: fix type error w/ python 3.8

* json: fix server/README (json_schema in /completion vs. result_format in /v1/chat/completions)

* json: simplify DOT `{"type": "string", "pattern": "^.$"}`

* json: remove recursion in opt_repetitions (avoids Python stack overflow)

* json: rm dead code

* json: rm useless assert & ggml.h import
2024-04-12 19:43:38 +01:00
Daniel Bevenius
4cc120c744
infill : add download instructions for model (#6626)
* infill : add download instructions for model

This commit adds instructions on how to download a CodeLlama model
using the `hf.sh` script. This will download the model and place it
in the `models` directory which is the same model use later by the
infill example.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>

* squash! infill : add download instructions for model

Clarify the reason for using CodeLlama.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>

---------

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-04-12 15:11:46 +03:00
Pierrick Hymbert
24ee66ed0d
server : coherent log output for KV cache full (#6637) 2024-04-12 14:49:21 +03:00
Rene Leonhardt
5c4d767ac0
chore: Fix markdown warnings (#6625) 2024-04-12 10:52:36 +02:00
Georgi Gerganov
ef21ce4ccb
imatrix : remove invalid assert (#6632) 2024-04-12 11:49:58 +03:00
Pierrick Hymbert
81da18e71c
eval-callback: use ggml_op_desc to pretty print unary operator name (#6631) 2024-04-12 10:26:47 +02:00
Clint Herron
f7001ccc5a
As suggested by @slaren, disabling Metal for test to fix CI build on OSX from #6576 (#6619) 2024-04-11 17:44:48 -04:00
Olivier Chafik
cbaadc9294
grammars: 1.5x faster inference w/ complex grammars (vector reserves / reuses) (#6609)
* grammars: reserve rejects & next candidates

* grammars: reuse new_stacks

* grammars: fix missing sig change in llama.h

* grammars: fix test (api changed)

* grammars: update gbnf-validator.cpp

* grammars: simpler syntax (no swap)
2024-04-11 19:47:34 +01:00
Pierrick Hymbert
b804b1ef77
eval-callback: Example how to use eval callback for debugging (#6576)
* gguf-debug: Example how to use ggml callback for debugging

* gguf-debug: no mutex, verify type, fix stride.

* llama: cv eval: move cb eval field in common gpt_params

* ggml_debug: use common gpt_params to pass cb eval.
Fix get tensor SIGV random.

* ggml_debug: ci: add tests

* ggml_debug: EOL in CMakeLists.txt

* ggml_debug: Remove unused param n_batch, no batching here

* ggml_debug: fix trailing spaces

* ggml_debug: fix trailing spaces

* common: fix cb_eval and user data not initialized

* ci: build revert label

* ggml_debug: add main test label

* doc: add a model: add a link to ggml-debug

* ggml-debug: add to make toolchain

* ggml-debug: tests add the main label

* ggml-debug: ci add test curl label

* common: allow the warmup to be disabled in llama_init_from_gpt_params

* ci: add curl test

* ggml-debug: better tensor type support

* gitignore : ggml-debug

* ggml-debug: printing also the sum of each tensor

* ggml-debug: remove block size

* eval-callback: renamed from ggml-debug

* eval-callback: fix make toolchain

---------

Co-authored-by: slaren <slarengh@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-04-11 14:51:07 +02:00
Daniel Bevenius
8228b66dbc
gguf : add option to not check tensor data (#6582)
This commit adds an option to the gguf example to not check the tensor
data.

The motivation for this is that it can be nice to use the gguf tool to
read other .gguf files that were not created by the gguf tool.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-04-10 21:16:48 +03:00
Ralph Soika
b3a96f27f0
minor layout improvements (#6572)
* minor layout improvements

* added missing file, run deps.sh locally
2024-04-10 19:18:25 +02:00
Jared Van Bortel
1b67731e18
BERT tokenizer fixes (#6498)
Key changes:
* BERT conversion: fix abuse of LlamaHfVocab, do not set BOS or EOS
* Nomic Embed conversion: pad vocab instead of slicing embedding tensor
* llama_tokenize: handle added special tokens like HF does
2024-04-09 13:44:08 -04:00
Ed Lee
400d5d722d
server : detect search query to start webchat (#6554) 2024-04-09 10:31:47 +02:00
Jan Boon
beea6e1b16
llama : save and restore kv cache for single seq id (#6341)
* llama : save and restore kv cache for single seq id

* remove trailing whitespace

* respond error in case there's no space in the kv cache

* add kv seq save restore to test case

* add --slot-save-path arg to enable save restore and restrict save location

* Returning 0 for some cases, instead of asserting.

* cleanup error cases

* rename sequence state functions

* rename state get set functions

* add previous function names back in with DEPRECATED notice

* update doc

* adjust endpoints to preferred style

* fix restoring zero cell count

* handle seq rm return value

* unused param

* keep in the size check

* fix return types

* add server test case for slot save restore

* cleanup

* add cake

* cleanup style

* add special

* removing a whole sequence never fails

* move sequence state file functionality from server to llama to match session api and add version tags

* catch exceptions on save as well

* error log messages

* check types for stricter restore

* update server doc

* readme : update API changes date

* strict filename validation

* move include, reject bom as well

* also reject empty filename

* reject whitespace and trailing dot

---------

Co-authored-by: Martin Evans <martindevans@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-04-08 15:43:30 +03:00
Pierrick Hymbert
75cd4c7729
ci: bench: support sse and fix prompt processing time / server: add tokens usage in stream OAI response (#6495)
* ci: bench: support sse and fix prompt processing time
server: add tokens usage in stream mode

* ci: bench: README.md EOL

* ci: bench: remove total pp and tg as it is not accurate

* ci: bench: fix case when there is no token generated

* ci: bench: change to the 95 percentile for pp and tg as it is closer to what the server exports in metrics

* ci: bench: fix finish reason rate
2024-04-06 05:40:47 +02:00
Ting Sun
87e21bbacd
bench : make n_batch and n_ubatch configurable in Batched bench (#6500)
* bench: make n_batch and n_ubatch configurable

* bench: update doc for batched bench
2024-04-05 21:34:53 +03:00
Shakhar Dasgupta
2e66913e5f
server: allow penalizing repetition of newlines on server webpage (#6431) 2024-04-04 17:03:00 +02:00
Pierrick Hymbert
7a2c92637a
ci: bench: add more ftype, fix triggers and bot comment (#6466)
* ci: bench: change trigger path to not spawn on each PR

* ci: bench: add more file type for phi-2: q8_0 and f16.
- do not show the comment by default

* ci: bench: add seed parameter in k6 script

* ci: bench: artefact name perf job

* Add iteration in the commit status, reduce again the autocomment

* ci: bench: add per slot metric in the commit status

* Fix trailing spaces
2024-04-04 12:57:58 +03:00
Clint Herron
9b84ae1806
examples : add GBNF validator program (#5948)
* Revising GBNF validator program to be much simpler.

* Changing from streams to using cstdio

* Adding final newline character.
2024-04-04 10:44:28 +03:00
Georgi Gerganov
4399f13fb9
server : remove obsolete --memory-f32 option 2024-04-04 09:34:58 +03:00
Xiao-Yong Jin
1a43c7254e
server : add option to disable KV offload (#6468) 2024-04-04 09:33:48 +03:00
Fattire
5fb1574c81
A few small fixes to server's README docs (#6428)
* Typo fix to server's README.md

Fix minor typo ("tonen") in server README.

* server readme grammar/style fixes.

Quickly went through this file to look for inconsistencies in
presentation of defaults, flag options, and looked for typos
and grammar issues.

Not perfect, but hopefully improved.

* Update README.md

Remove an extra space before newline.
2024-04-03 22:22:57 +02:00
JH23X
60cdf40cc3
server : handle exception on wrong type in request (#6452)
Co-authored-by: Jonas Holzner <jonas.holzner.external@hensoldt.net>
2024-04-03 21:09:52 +03:00
slaren
08a0c02060
ggml : mul_mat_id use the same tensor for all the experts (#6387)
* ggml : update mul_mat_id to use the same tensor for all the experts

* update cuda

* minor

* update metal

* update test-backend-ops

* fix cuda

* Update ggml-metal.m

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* update convert.py

* update convert-hf-to-gguf.py

* update convert.py for mixtral hf models

* Update convert-hf-to-gguf.py

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* cuda : support non-pow-2 number of experts

* allow quantize to work for split and merged experts models in the same way

* cleanup + disable mmap automatically with split tensors models

* update imatrix

* test-backend-ops : test qwen argsort

* update grok model loading

* llama : add merged experts tensors to the grok tensor map

* minor

* gguf : bump version

* fix quantizing of merged experts

* convert-hf-to-gguf.py : update grok (untested)

* make linter happy

* cuda/argsort : use shared memory instead of pool memory

* convert : fix grok tensor names

* metal : add support for non-pow-2 argsort

* llama : more loader cleanup, better error checking

* cuda : fix warning

* llama : still use mmap for loading old models, but copy the data to a host buffer

* add review note

* llama : remove ffn tensor counting + add sanity check

ggml-ci

* convert : fix handling of n_experts == None

ggml-ci

* imatrix : fix ncall counters

* llama : produce error if imatrix size does not match

* quantize : terminate on errors + trace logs

ggml-ci

* metal : pad shared memory to 16 bytes

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-04-03 16:07:05 +03:00
Xuan Son Nguyen
f7fc5f6c6f
split: allow --split-max-size option (#6343)
* split by max size

* clean up arg parse

* split: ok

* add dry run option

* error on 0 tensors

* be positive

* remove next_metadata_size
2024-03-29 22:34:44 +01:00
Ziang Wu
66ba560256
llava : fix MobileVLM (#6364)
* fix empty bug

* Update MobileVLM-README.md

added more results on devices

* Update MobileVLM-README.md

* Update MobileVLM-README.md

* Update MobileVLM-README.md

* Update MobileVLM-README.md

* Update MobileVLM-README.md

* Update MobileVLM-README.md

* Update examples/llava/MobileVLM-README.md

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Update MobileVLM-README.md

remove gguf links

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-03-28 16:33:10 +02:00
Ting Sun
cfc4d75df6
doc: fix outdated default value of batch size (#6336)
* doc: fix outdated default value of batch size

* doc: add doc for ubatch-size
2024-03-28 09:51:06 +01:00
Eric Zhang
6902cb7f2e
server : stop gracefully on SIGTERM (#6348) 2024-03-28 09:50:48 +01:00
Ziang Wu
d0e2f6416b
doc: fix typo in MobileVLM-README.md (#6181) 2024-03-28 13:03:30 +09:00
Pierrick Hymbert
a016026a3a
server: continuous performance monitoring and PR comment (#6283)
* server: bench: init

* server: bench: reduce list of GPU nodes

* server: bench: fix graph, fix output artifact

* ci: bench: add mermaid in case of image cannot be uploaded

* ci: bench: more resilient, more metrics

* ci: bench: trigger build

* ci: bench: fix duration

* ci: bench: fix typo

* ci: bench: fix mermaid values, markdown generated

* typo on the step name

Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>

* ci: bench: trailing spaces

* ci: bench: move images in a details section

* ci: bench: reduce bullet point size

---------

Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>
2024-03-27 20:26:49 +01:00
howlger
1e13987fba
embedding : show full embedding for single prompt (#6342)
* embedding : show full embedding for single prompt

To support the use case of creating an embedding for a given prompt, the entire embedding and not just the first part needed to be printed.

Also, show cosine similarity matrix only if there is more than one prompt, as the cosine similarity matrix for a single prompt is always `1.00`.

* Update examples/embedding/embedding.cpp

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-03-27 13:15:44 +02:00
Georgi Gerganov
2ab4f00d25
llama2c : open file as binary (#6332) 2024-03-27 09:16:02 +02:00
Eric Zhang
0642b22cd1
server: public: use relative routes for static files (#6325)
server: public: support custom `api_url`, default to relative base path
2024-03-27 06:55:29 +01:00
compilade
557410b8f0
llama : greatly reduce output buffer memory usage (#6122)
* llama : greatly reduce logits memory usage

* llama : more compact state saving and reloading

* llama : fix lctx.n_outputs not being set before building graph

* perplexity : adapt to the logits API changes

* perplexity : fix Winogrande, use correct logits for second choice start

The first logits used to evaluate the second choice were not from
the end of the common prefix; instead, they were the logits from the end
of the first choice. This has been corrected.

The previous implementation sometimes had outliers in the scores of
choices for some tasks, and the logic to skip choices words
in the log-likelihood evaluation probably was an attempt to reduce those,
but it was complex and didn't quite seem to be the right thing.

This is simpler now, and the outlier scores aren't there anymore.

* perplexity : normalize spaces and punctuation in Winogrande sentences

* llama : fix embedding conditions

* llama : fix llama_get_embeddings_ith when the resulting id is 0

* llama : fix wrong n_outputs in llama_set_inputs

A mismatch happened when using a smaller n_ubatch than n_batch and then using
llama_batch_get_one(). The decision of what n_outputs should be now almost
fully depends on how lctx.n_outputs is set in llama_decode_internal.
The conditions are simpler this way.

* llama : when saving the state, recalculate n_outputs

This ensures the correct number of outputs for the entire previous batch
is stored in the session file, even when n_ubatch is smaller than n_batch.

* llama : fix not-skipping outputs of non-causal models

* llama : fix running a batch with n_outputs == 0

It previously worked because lctx.inp_out_ids was not initialized,
so it pointed to some garbage address which was somehow still valid when I
ran my tests.

* llama : keep same graph topology even when n_outputs == 0

* ggml : saner ggml_can_repeat with empty tensors

*  ggml : future-proof ggml_is_empty by using GGML_MAX_DIMS - 1

* ggml : do not multi-thread ops returning empty tensors

* ggml : make ggml_is_empty public and work with views

* llama : use a vector for ctx->output_ids

* llama : rework reallocation logic for llama_output_reserve

Now comparing the actual size with the new total size of the output buffer
to allow more efficient enabling and disabling of the embeddings
and/or logits output in the future.

* ggml : skip empty tensors in all backends

* llama : fix llama_output_reserve nullptr deref when new_size is 0

* perplexity : make Winogrande work as it does on master

The problems with the Winogrande implementation will
need to be fixed in a separate PR to ease review.

* llama : clearer error messages for invalid logits or embeddings ids

* llama : assert all models that can have inp_out_ids

Since the graph topology is now constant, this presence check
can be done even when there are no outputs.

* llama : assert logits and embd buffers exist before writing to them

* llama : handle errors from llama_output_reserve at call sites

* perplexity : make hellaswag and multiple-choice outputs identical to master

Due to how the KV cache is updated, the logprobs for tokens in a batch
are very slightly affected by the other tokens present in the batch,
so to make hellaswag and multiple-choice return exactly the same results
as on master, the last token of each sequence needs to be evaluated
even though its output is not used at all.

This will probably be changed back in the future to make these benchmarks
a tiny bit faster.

* perplexity : fix division by zero when using less than 100 multiple-choice tasks

* llama : allow loading state saved with a different ctx size

When loading a session file, the context size is now only required to be
at least enough to load the KV cells contained in that session file,
instead of requiring to use exactly the same context size as when saving.

Doing this enables the use-case of extending or shrinking the context size
of a saved session.

This breaks existing session files because the meaning of kv_buf_size
is slightly changed (previously it was the size of the whole KV cache,
now it's only the size of the saved part of it). This allows for
finer-grained sanity checks when loading in an effort to keep kv_buf_size
useful even when the kv_size is changed.

* llama : minor

ggml-ci

* readme : update recent API changes, and warn about Vulkan

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-03-26 16:46:41 +02:00
Kawrakow
55c1b2a3bb
IQ1_M: 1.75 bpw quantization (#6302)
* iq1_m: basics

* iq1_m: basics-2

* iq1_m: CUDA dequantize works

Very 1st shot I get PPL = 9.76 for LLaMA-v2-7B.

* iq1_m: separate shifts for each group of 8 in a block

We get
PPL(LLaMA-v2-7B ) = 9.2810
PPL(LLaMA-v2-13B) = 6.8105

Not bad, but slightly higher than
  sqrt(PPL(IQ1_S) * PPL(IQ2_XXS))
which is the expected outcome given that IQ1_M is
halfway between IQ1_S and IQ2_XXS in terms of bpw.
From this, we would expect
 PPL = 9.14 for LLaMA-v2-7B
 PPL = 6.63 for LLaMA-v2-13B

* iq1_m: go to 3-bit scales

There is slight increase in PPL, but the 0.0625 bpw reduction
in size is totally worth it.

We now have
PPL(LLaMA-v2-7B ) = 9.4469 at 1.96 bpw
PPL(LLaMA-v2-13B) = 6.8717 at 1.93 bpw
PPL(LLaMA-v2-70B) = 4.8568 at 1.85 bpw

* iq1_m: scalar dot product

* iq1_m: AVX2 dot product

* iq1_m: very slightly faster AVX2 dot product

* iq1_m: ARM_NEON dot product

Works, but very slow (10.5 t/s)

* iq1_m: Metal - dequantize works, dot product does not

* iq1_m: Metal now works

About the same performance as iq1_s.

* iq1_m: minor

* iq1_m: checking pure iq1_m quantization

It is pretty bad: PPL(LLaMA-v2-7B) = 34 if we quantize output.weight
with Q4_K.

* iiq1_m: slightly faster ARM_NEON dot product

10.5 t/s -> 11.65 t/s

* iq1_m: faster ARM_NEON dot product

11.65 t/s -> 14.9 t/s

* iq1_m: another minor ARM_NEON dot product improvement

14.9 -> 15.0 t/s

* iq1_m: small PPL improvement via super-block scale adjustment

After quantizing block scales redo the super-block scale fit.

PPL(LLaMA-v2-7B ) = 9.3346
PPL(LLaMA-v2-13B) = 6.8419
PPL(LLaMA-v2-70B) = 4.8294
PPL(Mistral-7B  ) = 8.1624

* iq1_m: adapt to CUDA refactoring

* iq1_m: remove unused variable

We have progressed to warnings being errors.

* iq1_m: add to backend-ops tests

* iq1_m: fix Windows ARM

* iq1_m: use common definition of iq1m_scale_t

* cuda: assert -> NO_DEVICE_CODE

* iq1_M: PR comments

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-03-26 15:21:27 +01:00
Kawrakow
d25b1c31b0
quantize : be able to override metadata by key (#6321)
* quantize: be able to override metadata by key

* minor : spacing

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-03-26 14:09:30 +02:00
Minsoo Cheong
deb7240100
embedding : adjust n_ubatch value (#6296)
* embedding: assign `n_ubatch` value, print error on `n_batch` overflow

* Update examples/embedding/embedding.cpp

Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>

* use %ld instead of %lld

* Revert "use %ld instead of %lld"

This reverts commit ea753ede90.

---------

Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>
2024-03-26 11:11:46 +02:00
Jan Boon
3d032ece8e
server : add n_discard parameter (#6300) 2024-03-26 10:47:43 +02:00
slaren
280345968d
cuda : rename build flag to LLAMA_CUDA (#6299) 2024-03-26 01:16:01 +01:00
Xuan Son Nguyen
ad3a0505e3
Server: clean up OAI params parsing function (#6284)
* server: clean up oai parsing function

* fix response_format

* fix empty response_format

* minor fixes

* add TODO for logprobs

* update docs
2024-03-25 09:42:17 +01:00
Neo Zhang Jianyu
95ad616cdd
[SYCL] fix SYCL backend build on windows is break by LOG() error (#6290)
* fix LOG() error for SYCL, enhance erro check by CI

* rollback to bash

* add newline at end of file
2024-03-25 15:52:41 +08:00
Minsoo Cheong
64e7b47c69
examples : add "retrieval" (#6193)
* add `retrieval` example

* add README

* minor fixes

* cast filepos on print

* remove use of variable sized array

* store similarities in separate vector

* print error on insufficient batch size

* fix error message printing

* assign n_batch value to n_ubatch

* fix param definitions

* define retrieval-only parameters in retrieval.cpp

* fix `--context-file` option to be provided multiple times for multiple files

* use vector for `query_emb`

* add usage description in README

* fix merge conflict

* fix usage printing

* remove seed setting

* fix lint

* increase file read buffer size

* retrieval : minor

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-03-25 09:38:22 +02:00
Georgi Gerganov
a0e584defd
imatrix : fix wname for mul_mat_id ops (#6271)
* imatrix : fix wname for mul_mat_id ops

* also filter tensor names in mul_mat_id ops

---------

Co-authored-by: slaren <slarengh@gmail.com>
2024-03-24 16:18:45 +02:00
Minsoo Cheong
586e7bc561
sampling : deduplicated code for probability distribution access (#6240)
* sampling: remove duplicated code for probability distribution access

* free original_logits

* fix original_logits allocation

* fixes based on review @cebtenzzre

* change function name to `llama_sampling_prepare`
2024-03-24 10:54:07 +02:00
Pierrick Hymbert
f482bb2e49
common: llama_load_model_from_url split support (#6192)
* llama: llama_split_prefix fix strncpy does not include string termination
common: llama_load_model_from_url:
 - fix header name case sensitive
 - support downloading additional split in parallel
 - hide password in url

* common: EOL EOF

* common: remove redundant LLAMA_CURL_MAX_PATH_LENGTH definition

* common: change max url max length

* common: minor comment

* server: support HF URL options

* llama: llama_model_loader fix log

* common: use a constant for max url length

* common: clean up curl if file cannot be loaded in gguf

* server: tests: add split tests, and HF options params

* common: move llama_download_hide_password_in_url inside llama_download_file as a lambda

* server: tests: enable back Release test on PR

* spacing

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* spacing

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* spacing

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-03-23 18:07:00 +01:00
Pierrick Hymbert
1997577d5e
server: docs: --threads and --threads, --ubatch-size, --log-disable (#6254) 2024-03-23 18:00:38 +01:00
Pierrick Hymbert
1b26aebe4d
server: flush stdout after logging in both text and json layout (#6253) 2024-03-23 13:18:45 +01:00
Johannes Gäßler
50ccaf5eac
lookup: complement data from context with general text statistics (#5479)
* lookup: evaluation tools, use corpus/previous gens

* fixup! lookup: evaluation tools, use corpus/previous gens

* fixup! lookup: evaluation tools, use corpus/previous gens

* fixup! lookup: evaluation tools, use corpus/previous gens

* fixup! lookup: evaluation tools, use corpus/previous gens
2024-03-23 01:24:36 +01:00
fraxy-v
92397d87a4
convert-llama2c-to-ggml : enable conversion of GQA models (#6237)
* convert-llama2c-to-ggml: enable conversion of multiqueries, #5608

* add test in build action

* Update build.yml

* Update build.yml

* Update build.yml

* gg patch
2024-03-22 20:49:06 +02:00
Kawrakow
1d0331c12a
quantize: options for output and token embedding tensors qtype (#6239)
* quantize: be able to specify the output tensor type

* quantize: be able to specify the token embedding tensor type

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-03-22 20:47:14 +02:00
Pierrick Hymbert
dba1af6129
llama_model_loader: support multiple split/shard GGUFs (#6187)
* split: support in llama_model_loader

* avoid copying the entire vector

Co-authored-by: slaren <slarengh@gmail.com>

* split: move llama_tensor_offset to llama_model_loader

* llama_model_loader: PR feedbacks:
 - use only one gguf_context for metadata only
 - store all ggml_context in a vector as the files and mappings
 - store all weights in a vector along with the source tensor
 - rename ctx_gguf to meta
 - rename ctx_meta to contexts

* avoid copying the entire vector

* Simplify this by making these optional, switch some layer creation tensor optional

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Handle optional tensors

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* llama_model_loader: fail if backend cannot allocate buffer

* fix mmap buffer management

* llama_model_loader: map file to backend buffer if the allocation succeeds only

* llama_model_loader: only map tensors included in the context

* llama_model_loader: minor, use same variable name for consistency, fix spacing in types cast

* llama_model_loader: fail if any of backend buffer cannot be allocated

* spacing

Co-authored-by: slaren <slarengh@gmail.com>

* fix loop over pointer

Co-authored-by: slaren <slarengh@gmail.com>

* llama_model_loader: if n_tensors declared not equals to loaded tensors in split, throw an exception instead of asserting

* llama_model_loader: ensure mappings vector has the expected size

* llama_model_loader:  use at instead of operator[] if this should never add to the map.

* llama_model_loader: immediately add the backend buffer to the model buffers in order to free them if an error occurs in the next allocation. Reserve the expected size.

* llama_model_loader: be sure the model mappings has enough capacity before allocating backend buffer

* llama_model_loader: fix map -> unordered map

* llama_split_prefix: use a clearer version, not pass split path len but dest max len.

Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>

* llama : minor

ggml-ci

* llama : introduce some typedef helpers

* docs: add model shard in hot topic

* llama_model_loader: put mapping in a unique_ptr from the moment it is allocated

Co-authored-by: slaren <slarengh@gmail.com>

* fix llama_split_prefix

---------

Co-authored-by: slaren <slarengh@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>
2024-03-22 19:00:01 +01:00
Olivier Chafik
72114edf06
json-schema-to-grammar : fix order of props + non-str const/enum (#6232)
* json: ordered json in server/schema converter to respect orig order

* json: ws nits

* json: support non-string const / enums
2024-03-22 15:07:44 +02:00
Jan Boon
6b8bb3a31d
server : fix n_keep always showing as 0 in response (#6211) 2024-03-22 13:12:05 +02:00
Georgi Gerganov
68e210b354
server : enable continuous batching by default (#6231) 2024-03-22 13:08:28 +02:00
Georgi Gerganov
95d576b48e
metal : pad n_ctx by 32 (#6177)
* metal : require ne00 >= 128 for mat-mat kernels

ggml-ci

* llama : pad n_ctx by 32

ggml-ci
2024-03-22 09:36:03 +02:00
Jan Boon
be07a03217
server : update readme doc from slot_id to id_slot (#6213) 2024-03-21 23:41:24 +01:00
Olivier Chafik
5b7b0ac8df
json-schema-to-grammar improvements (+ added to server) (#5978)
* json: fix arrays (disallow `[,1]`)

* json: support tuple types (`[number, string]`)

* json: support additionalProperties (`{[k: string]: [string,number][]}`)

* json: support required / optional properties

* json: add support for pattern

* json: resolve $ref (and support https schema urls)

* json: fix $ref resolution

* join: support union types (mostly for nullable types I think)

* json: support allOf + nested anyOf

* json: support any (`{}` or `{type: object}`)

* json: fix merge

* json: temp fix for escapes

* json: spaces in output and unrestricted output spaces

* json: add typings

* json:fix typo

* Create ts-type-to-grammar.sh

* json: fix _format_literal (json.dumps already escapes quotes)

* json: merge lit sequences and handle negatives

{"type": "string", "pattern": "^({\"question\": \"[^\"]+\", \"response\": \"[^\"]+\"}\\n)+$"}

* json: handle pattern repetitions

* Update json-schema-to-grammar.mjs

* Create regex-to-grammar.py

* json: extract repeated regexp patterns to subrule

* Update json-schema-to-grammar.py

* Update json-schema-to-grammar.py

* Update json-schema-to-grammar.py

* json: handle schema from pydantic Optional fields

* Update json-schema-to-grammar.py

* Update json-schema-to-grammar.py

* Update ts-type-to-grammar.sh

* Update ts-type-to-grammar.sh

* json: simplify nullable fields handling

* json: accept duplicate identical rules

* json: revert space to 1 at most

* json: reuse regexp pattern subrules

* json: handle uuid string format

* json: fix literal escapes

* json: add --allow-fetch

* json: simplify range escapes

* json: support negative ranges in patterns

* Delete commit.txt

* json: custom regex parser, adds dot support & JS-portable

* json: rm trailing spaces

* Update json-schema-to-grammar.mjs

* json: updated server & chat `( cd examples/server && ./deps.sh )`

* json: port fixes from mjs to python

* Update ts-type-to-grammar.sh

* json: support prefixItems alongside array items

* json: add date format + fix uuid

* json: add date, time, date-time formats

* json: preserve order of props from TS defs

* json: port schema converter to C++, wire in ./server

* json: nits

* Update json-schema-to-grammar.cpp

* Update json-schema-to-grammar.cpp

* Update json-schema-to-grammar.cpp

* json: fix mjs implementation + align outputs

* Update json-schema-to-grammar.mjs.hpp

* json: test C++, JS & Python versions

* json: nits + regen deps

* json: cleanup test

* json: revert from c++17 to 11

* json: nit fixes

* json: dirty include for test

* json: fix zig build

* json: pass static command to std::system in tests (fixed temp files)

* json: fix top-level $refs

* json: don't use c++20 designated initializers

* nit

* json: basic support for reserved names `{number:{number:{root:number}}}`

* Revamp test cmake to allow args (WORKING_DIRECTORY needed for JSON test)

* json: re-ran server deps.sh

* json: simplify test

* json: support mix of additional props & required/optional

* json: add tests for some expected failures

* json: fix type=const in c++, add failure expectations for non-str const&enum

* json: test (& simplify output of) empty schema

* json: check parsing in test + fix value & string refs

* json: add server tests for OAI JSON response_format

* json: test/fix top-level anyOf

* json: improve grammar parsing failures

* json: test/fix additional props corner cases

* json: fix string patterns (was missing quotes)

* json: ws nit

* json: fix json handling in server when there's no response_format

* json: catch schema conversion errors in server

* json: don't complain about unknown format type in server if unset

* json: cleaner build of test

* json: create examples/json-schema-pydantic-example.py

* json: fix date pattern

* json: move json.hpp & json-schema-to-grammar.{cpp,h} to common

* json: indent 4 spaces

* json: fix naming of top-level c++ function (+ drop unused one)

* json: avoid using namespace std

* json: fix zig build

* Update server.feature

* json: iostream -> fprintf

* json: space before & refs for consistency

* json: nits
2024-03-21 11:50:43 +00:00
Kawrakow
76aa30a263
Add ability to use Q5_0, Q5_1, and IQ4_NL for quantized K cache (#6183)
* k_cache: be able to use Q5_0

* k_cache: be able to use Q5_1 on CODA

* k_cache: be able to use Q5_0 on Metal

* k_cache: be able to use Q5_1 on Metal

* k_cache: be able to use IQ4_NL - just CUDA for now

* k_cache: be able to use IQ4_NL on Metal

* k_cache: add newly added supported types to llama-bench and CUDA supports_op

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-03-21 08:27:57 +01:00
Ziang Wu
f9c7ba3447
llava : update MobileVLM-README.md (#6180) 2024-03-20 17:29:51 +02:00
Ziang Wu
272935b281
llava : add MobileVLM_V2 backup (#6175)
* Add MobileVLM_V2 backup

* Update MobileVLM-README.md

* Update examples/llava/MobileVLM-README.md

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Update examples/llava/convert-image-encoder-to-gguf.py

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* clip :  fix whitespace

* fix deifinition mistake in clip.cpp

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-03-20 17:02:32 +02:00
Xuan Son Nguyen
91f8ad167d
Server: version bump for httplib and json (#6169)
* server: version bump for httplib and json

* fix build

* bring back content_length
2024-03-20 13:30:36 +01:00
Georgi Gerganov
bc0baab2ea
server : allow to override -ngl in tests (#6170) 2024-03-20 14:14:32 +02:00
Georgi Gerganov
d795988d9e
Revert "llava : add a MobileVLM_V2-1.7B backup (#6152)"
This reverts commit f8c4e745e1.
2024-03-20 13:29:49 +02:00
Ziang Wu
f8c4e745e1
llava : add a MobileVLM_V2-1.7B backup (#6152)
* Add MobileVLM_V2 backup

* Update MobileVLM-README.md

* Update examples/llava/MobileVLM-README.md

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Update examples/llava/convert-image-encoder-to-gguf.py

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* clip :  fix whitespace

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-03-20 13:20:37 +02:00
Karthick
47cc7a7bf9
Server: Handle n_keep parameter in the request (#6174) 2024-03-20 12:02:34 +01:00
Jared Van Bortel
bd60d82d0c
server tests : more pythonic process management; fix bare except: (#6146)
* server tests : remove seemingly redundant newlines in print()

* server tests : use built-in subprocess features, not os.kill and psutil

* server tests : do not catch e.g. SystemExit; use print_exc

* server tests: handle TimeoutExpired exception

* server tests: fix connect on dual-stack systems

* server: tests: add new tokens regex on windows generated following new repeat penalties default changed in (#6127)

* server: tests: remove the hack on windows since now we get the good socket family

* server: tests: add new tokens regex following new repeat penalties default changed in (#6127)

* server: tests: add new tokens regex following new repeat penalties default changed in (#6127)

---------

Co-authored-by: Pierrick HYMBERT <pierrick.hymbert@gmail.com>
2024-03-20 06:33:49 +01:00
Neo Zhang Jianyu
6c0b287748
update readme sycl for new update (#6151)
* update readme sycl for new update

* Update README-sycl.md

Co-authored-by: Abhilash Majumder <30946547+abhilash1910@users.noreply.github.com>

* Update README-sycl.md

Co-authored-by: Abhilash Majumder <30946547+abhilash1910@users.noreply.github.com>

* Update README-sycl.md

Co-authored-by: Abhilash Majumder <30946547+abhilash1910@users.noreply.github.com>

* Update README-sycl.md

Co-authored-by: Abhilash Majumder <30946547+abhilash1910@users.noreply.github.com>

* Update README-sycl.md

Co-authored-by: AidanBeltonS <87009434+AidanBeltonS@users.noreply.github.com>

* Update README-sycl.md

Co-authored-by: AidanBeltonS <87009434+AidanBeltonS@users.noreply.github.com>

* update by review comments

* update w64devkit link

* update for verify device id part

* Update README-sycl.md

Co-authored-by: Meng, Hengyu <airdldl@163.com>

---------

Co-authored-by: Abhilash Majumder <30946547+abhilash1910@users.noreply.github.com>
Co-authored-by: AidanBeltonS <87009434+AidanBeltonS@users.noreply.github.com>
Co-authored-by: Meng, Hengyu <airdldl@163.com>
2024-03-20 11:21:41 +08:00
DAN™
d8b009a945
Remove undeed header file. (#6158) 2024-03-19 17:16:09 +01:00
Pierrick Hymbert
d0d5de42e5
gguf-split: split and merge gguf per batch of tensors (#6135)
* gguf-split: split and merge gguf files per tensor

* gguf-split: build with make toolchain

* gguf-split: rename `--split-tensors-size` to `--split-max-tensors`. Set general.split_count KV to all split

* split : minor style + fix compile warnings

* gguf-split: remove --upload not implemented

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-03-19 12:05:44 +01:00
Felix
104f5e0fc1
clip : fix memory leak (#6138) 2024-03-18 17:40:22 +02:00
slaren
2bf8d0f7c4
backend : offload large batches to GPU (#6083)
* backend : offload large batches to GPU

* fix hip

* code cleanup

* fix CUDA split buffers

* Update ggml-backend-impl.h

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>

* cuda : fix memset without set_device

* imatrix : remove sched affix from weight names

* sched : add a new split if the current one has too many inputs
reduce max inputs per split
more cleanup

* update backends

ggml-ci

---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2024-03-18 11:03:04 +01:00
Pierrick Hymbert
d01b3c4c32
common: llama_load_model_from_url using --model-url (#6098)
* common: llama_load_model_from_url with libcurl dependency

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-03-17 19:12:37 +01:00
Daniel Bevenius
b5f4ae09c3
gritlm : add initial README.md (#6086)
* gritlm: add initial README.md to examples/gritlm

This commit adds a suggestion for an initial README.md for the gritlm
example.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>

* squash! gritlm: add initial README.md to examples/gritlm

Use the `scripts/hf.sh` script to download the model file.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>

* squash! gritlm: add initial README.md to examples/gritlm

Fix editorconfig-checker error in examples/gritlm/README.md.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>

---------

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-03-16 17:46:29 +02:00
Ting Lou
4e9a7f7f7f
llava : change API to pure C style for Rust FFI bindgen (#6079)
Co-authored-by: Lou Ting <louting.t@alibaba-inc.com>
2024-03-15 16:31:05 +02:00
Neo Zhang Jianyu
46acb36767
fix set main gpu error (#6073) 2024-03-15 18:53:53 +08:00
slaren
b0bc9f4a9d
llama-bench : use random tokens to improve accuracy with mixtral (#6069) 2024-03-15 10:22:24 +02:00
Steve Grubb
6e0438da3c
gguf : fix resource leaks (#6061)
There several places where a gguf context is allocated. A call to gguf_free
is missing in some error paths. Also on linux, llama-bench was missing a
fclose.
2024-03-14 20:29:32 +02:00
Georgi Gerganov
044ec4b2a5
embedding : add EOS token if not present (#899) 2024-03-14 15:14:14 +02:00
Jian Liao
15a333260a
readme : improve readme for Llava-1.6 example (#6044)
Co-authored-by: Jian Liao <jianliao@adobe.com>
2024-03-14 13:18:23 +02:00
Pierrick Hymbert
43241adf22
server: disable debug release type sanitizer, simplify trigger (#6047)
- increase time out for server
 - do not fail fast
2024-03-14 13:15:39 +02:00
Georgi Gerganov
68265ebfc6
embedding : print all resulting embeddings (#899) 2024-03-14 12:37:20 +02:00
Georgi Gerganov
0fd6c1f015
embedding : print cosine similarity (#899) 2024-03-14 10:12:29 +02:00