Commit Graph

598 Commits

Author SHA1 Message Date
Valentin Konovalov
256d1bb0dd
android : use release cmake build type by default (#5123) 2024-01-25 19:05:51 +02:00
Kawrakow
44879ee885
Additional KL-divergence statistics (#5081)
* perplexity: add top-token probability

* perplexity: add additional KL-divergence statistics

* perplexity: a better organized KL-divergence statistics output

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-01-23 15:17:20 +02:00
Georgi Gerganov
89758723c7
minor : clean-up some warnings and style (#5094)
* minor : clean-up some warnings and style

ggml-ci

* ggml : add comment
2024-01-23 14:12:57 +02:00
Michael Coppola
125d03a503
llama.vim : added api key support (#5090)
Co-authored-by: Michael Coppola <info@michaeljcoppola.com>
2024-01-23 08:51:27 +02:00
Kawrakow
6f9939d119
KL-divergence (#5076)
* kl-divergence: be able to save all logits to a file

* Add ability to compute KL-divergence

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-01-22 16:10:14 +02:00
XiaotaoChen
3ce7e8f8e7
llava : MobileVLM support (#4954)
* MobileVLM native implementation

* delete depthwise_conv_2d and permute_cpy relative code, replace the two by the existed functions, and opt ldp definition, support LLAMA_PERF option for CMake

* move android script to example/llava directory

* Fix the editor config checks

---------

Co-authored-by: Chenxiaotao03 <chenxiaotao03@meituan.com>
2024-01-22 15:09:35 +02:00
Kawrakow
15bceec2d7
imatrix : keep intermediate imatrix results (#5077)
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-01-22 14:18:43 +02:00
Daniel Bevenius
152d9d05e0
finetune : print sample-start/include-sample-start (#5072)
This commit adds `--sample-start` and `--include-sample-start` to the
output from the main function in finetune.cpp.

The motivation for this is that even though these are set explicitly by
the user via the command line, if one forgets to set them then it is
useful to have their values printed out. Otherwise it is possible to go
through the whole training process before realizing that the values are
not what one expected.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-01-22 13:11:01 +02:00
Kawrakow
66d575c45c
llama : add Q3_K_XS (#5060)
* Add Q3_K_XS - intermediate size between Q2_K and Q3_K_S

* Q3_K_XS: quanize first 1/8 of ffn_down layers with Q4_K

Together with an importance matrix, this brings perplexity
for LLaMA-v2-70B below the perplexity of the former Q2_K
with a 800 MB smaller quantized model size.

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-01-22 12:43:33 +02:00
Kawrakow
7dcbe39d36
Add ability to evauate multiple choice tasks (#5047)
* TruthfulQA: 1st attempt, does not look like it is working

The same implementation can be used for HellaSwag as well,
so I converted a HellaSwag validation dataset to the binary
format used here and tested with that. The score is only
around 50, so something is not quite right.

* TruthfulQA: works but the result is bad

I know it works because if I convert the HellaSwag validation
data to the binary format used in the truthful_qa_score() function
I get the exact same result as from the hellaswag_score() function.
But I guess, the questions are tricky and the way I have done
the combination of question + answer is very likely not the best.
The TruthfulQA validation dataset contains 817 questions, with
random chance result around 19%. With this version I get
29.1% for Mistral-7B and 55.2% for Mistral-7B-Instruct-v0.2.
The HF leader board results for these two models are
42.2% and 68.3%, respectively.

* TruthfulQA: fix random sample

* TruthfulQA: prepare tasks in parallel for large test datasets

* Rename truthful_qa to multiple_choice

* Make MSVC happy

I had forgotten that MSVC does not make constexpr's available
inside a lambda.

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-01-21 14:42:44 +02:00
Kawrakow
726c0fa9a2
Slightly faster imatrix (#5050)
* imatrix: speedup by avoiding unnecessary allocations and copies

* imatrix: add --no-ppl option to skip PPL calculations altogether

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-01-21 08:01:20 +02:00
Jared Van Bortel
97c1549808
perplexity : fix MSVC build after #5020 (#5043)
* perplexity : fix MSVC build after #5020

* try a differerent fix
2024-01-20 17:08:08 +02:00
Uzo Nweke
381ee19572
finetune : fix ggml_allocr lifetimes (tmp workaround) (#5033)
* Fix issue with alloc causing max_compute_size to be calculated

* remove ggml_allocr_free as suggested in issue #4791
2024-01-19 20:20:50 +02:00
Georgi Gerganov
a5cacb22b2
imatrix : add README.md 2024-01-19 15:24:47 +02:00
Kawrakow
7051aacfac
winogrande: evaluate log-probs in parallel (#5036)
This is a relatively minor performance tweak resulting in
~10% speedup on my system.

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-01-19 11:39:11 +02:00
Kawrakow
993fba8180
perplexity: avoid unnecessary alloocations and logit copies (#5035)
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-01-19 11:02:39 +02:00
Georgi Gerganov
8b20858e5e
perplexity : faster Winogrande via batching (#5024)
* perplexity : faster Winogrande via batching

ggml-ci

* perplexity : remove unused function

* perplexity : only tokenize selected tasks for Winogrande
2024-01-19 10:45:06 +02:00
Xuan Son Nguyen
821f0a271e
server : defer tasks when "slot unavailable" (#5018)
* server: defer task when no slot is available

* remove unnecessary log

---------

Co-authored-by: Xuan Son Nguyen <xuanson.nguyen@snowpack.eu>
2024-01-18 22:33:05 +02:00
Georgi Gerganov
2d5419d08a
imatrix : fix assert for src0 non-cont check 2024-01-18 21:45:51 +02:00
Georgi Gerganov
d391ae9b49
perplexity : fix winogrande N tasks option 2024-01-18 20:49:00 +02:00
Kawrakow
3e945cc1e9
HellaSwag: speed up by parallelizing log-prob evaluation (#5020)
For Mistral-7B and fp16, time on my system goes down from 536 seconds
to 423 seconds for the full evaluation dataset (10042 tasks).

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-01-18 19:18:21 +02:00
Georgi Gerganov
ad19812cda
perplexity : faster HellaSwag via batching (#5017)
* perplexity : faster HellaSwag

ggml-ci

* perplexity : clean-up

ggml-ci

* perplexity : no need for decode_helper

ggml-ci

* perplexity : add comments

* perplexity : option to specify max batched tasks via `n_parallel`

* perplexity : remove HellaSwag restruction for n_batch
2024-01-18 15:33:01 +02:00
Kawrakow
682986a08e
Add Winogrande evaluation (#5015)
* winogrande: simple implementation

It doesn't look like it is working - why?
For Mistral-7B it is barely better than
random chance (score ~60% for 1267 tasks), while I see
Mistral-7B scoring 78.4% on the HF leader board.
1-sigma statistical uncertainty for 1267 tasks is ~1.4,
so no way the difference is due to statistics.

* winogrande: somewhat better

Score for Mistrali7-B is now 68.9 on the validation set of
winogrande_debiased. Still far from the reported 78.4, but
better than what I had before.

* winogrande: improving

Mistral-7B score is now 73.56.
Still not quite 78.4 but getting there.
We are also getting a lower score on HellaSwag
compared to HF leader board, so I'm not expecting
we will get up to 78.4 anyway.

It looks like it is better to skip the choice word(s)
when evaluating the average log-likelihood. This kind of
makes sense because a more common word (in Winogrande this is
often a name) will have a higher probability without knowing
about the follow up context, and this will skew the log-likelihood
towards the more common word. We can only do this if the
choice words are not last in the sentence.

It also looks like it is better to skip the punctuation at the
end of the sentence, provided the choice words are not last.

* winogrande: add dataset instructions

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-01-18 13:46:27 +02:00
Georgi Gerganov
ba69bbc84c
imatrix : offload to GPU support (#4957)
* backend : add eval callback

ggml-ci

* backend : group nodes in a single compute when user don't need them

* backend : clean-up the implementation

ggml-ci

* simple : do not perform tensor data copy if not needed

* simple : fix

* imatrix : offload to GPU support

* imatrix : fix ggml_mul_mat_id hanlding

ggml-ci

* ci : add imatrix test

ggml-ci

* ci : rearrange output

ggml-ci
2024-01-17 18:46:30 +02:00
Daniel Bevenius
cec8a48470
finetune : add training data file to log message (#4979)
This commit adds the name of the training data file to the log message
printed when the training data is tokenized.

The motivation for this change is that it can be useful to show which
file is being tokenized when running the finetune example.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-01-16 19:54:24 +02:00
Maximilian Winter
4feb4b33ee
examples : add complete parallel function calling example (#4974) 2024-01-16 19:41:42 +02:00
Georgi Gerganov
959ef0c0df
perplexity : fix kv cache handling for hellaswag (#4981)
ggml-ci
2024-01-16 19:34:54 +02:00
Neuman Vong
862f5e41ab
android : introduce starter project example (#4926)
* Introduce starter project for Android

Based on examples/llama.swiftui.

* Add github workflow

* Set NDK version

* Only build arm64-v8a in CI

* Sync bench code

* Rename CI prop to skip-armeabi-v7a

* Remove unused tests
2024-01-16 15:47:34 +02:00
Maximilian Winter
122ed4840c
examples : fix and improv docs for the grammar generator (#4909)
* Create pydantic-models-to-grammar.py

* Added some comments for usage

* Refactored Grammar Generator

Added example and usage instruction.

* Update pydantic_models_to_grammar.py

* Update pydantic-models-to-grammar-examples.py

* Renamed module and imported it.

* Update pydantic-models-to-grammar.py

* Renamed file and fixed grammar generator issue.

* Fixed some issues and bugs of the grammar generator. Imporved Documentation

* Update pydantic_models_to_grammar.py
2024-01-16 14:10:48 +02:00
Daniel Bevenius
d75c232e1d
finetune : use LLAMA_FILE_MAGIC_GGLA (#4961)
This commit replaces the magic number LLAMA_FILE_MAGIC_LORA used in
finetune.cpp with LLAMA_FILE_MAGIC_GGLA defined in llama.h.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-01-16 13:14:19 +02:00
stduhpf
e0324285a5
speculative : threading options (#4959)
* speculative: expose draft threading

* fix usage format

* accept -td and -tbd args

* speculative: revert default behavior when -td is unspecified

* fix trailing whitespace
2024-01-16 13:04:32 +02:00
Kawrakow
467a882fd2
Add ability to use importance matrix for all k-quants (#4930)
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-01-14 16:21:12 +02:00
Kawrakow
147b17ac94
2-bit quantizations (#4897)
* imatrix: load

* imatrix: WIP

* imatrix: Add Q2_K quantization

* imatrix: also guard against Q2_K_S quantization without importance matrix

* imatrix: guard even more against low-bit quantization misuse

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-01-14 09:45:56 +02:00
Georgi Gerganov
4be5ef556d
metal : remove old API (#4919)
ggml-ci
2024-01-13 20:45:45 +02:00
Georgi Gerganov
0ea069b87b
server : fix prompt caching with system prompt (#4914) 2024-01-13 19:31:26 +02:00
David Friehs
df845cc982
llama : minimize size used for state save/load (#4820)
* examples : save-load-state: save only required state

* llama : only reserve n_vocab * n_batch at most for logits

llama_decode asserts that only n_batch tokens are passed each call, and
n_ctx is expected to be bigger than n_batch.

* llama : always reserve n_vocab * n_batch for logits

llama_context de-serialization breaks if the contexts have differing
capacity for logits and llama_decode will at maximum resize to
n_vocab * n_batch.

* llama : only save and restore used logits

for batch sizes of 512 this reduces save state in the best case by
around 62 MB, which can be a lot if planning to save on each message
to allow regenerating messages.

* llama : use ostringstream and istringstream for save and load

* llama : serialize rng into minimum amount of space required

* llama : break session version due to serialization changes
2024-01-13 18:29:43 +02:00
Yann Follet
722d33f34e
main : add parameter --no-display-prompt (#4541)
* add the parameter : --no-display-prompt , combine with --log-disable it will display only the generated tokens

* remove empty line

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-01-13 18:09:08 +02:00
Ziad Ben Hadj-Alouane
356327feb3
server : fix deadlock that occurs in multi-prompt scenarios (#4905)
* * fix deadlock

* * dont ruint all whitespace
2024-01-13 16:20:46 +02:00
makomk
ee8243adaa
server : fix crash with multimodal models without BOS token (#4904) 2024-01-13 16:16:11 +02:00
Maximilian Winter
52ee4540c0
examples : add pydantic models to GBNF grammar generator (#4883)
* Create pydantic-models-to-grammar.py

* Added some comments for usage

* Refactored Grammar Generator

Added example and usage instruction.

* Update pydantic_models_to_grammar.py

* Update pydantic-models-to-grammar-examples.py

* Renamed module and imported it.

* Update pydantic-models-to-grammar.py

* Renamed file and fixed grammar generator issue.
2024-01-12 21:46:45 +02:00
slaren
e7e4df031b
llama : ggml-backend integration (#4766)
* llama : ggml-backend integration

* ggml-backend : add names to buffers

* fix unmap after loading

* batched-bench : add tensor_split param

* llama : check for null tensor_split

* ggml-backend : increase GGML_MAX_BACKENDS

* improve graph splitting, partial fix for --no-kv-offload

* cuda : add ggml-backend split buffer support

* cuda : do not create buffer types for devices that don't exist (fixes usage without CUDA devices available)

* ggml : fix null backend dereference (#4807)

* ggml : fix null backend dereference

* ggml : also check ggml_backend_is_cpu

* test-backend-ops : check buffer allocation failures

* llama : add cparam (split_mode) and command line argument (--split-mode, -sm) to configure the split mode (none, layer or row)

* ggml : fix mul_mat_id work size

* llama : rewrite session kv load/set without graphs

* minor

* llama : only initialize used backends, free backends on context free

* llama : abort ctx if cuda backend init fails

* llama : rewrite lora with ggml-backend and compute on CPU

ggml-ci

* llama : only map to a backend buffer the region of the file mapping containing the tensors used in the buffer

* opencl : add ggml-backend buffer type

* cuda : only use batched_cublas with batched mat muls (fixes fp16 tg perf)

* llama : on Metal, by default offload the full model

ggml-ci

* metal : page align the data ptr (#4854)

* Apply suggestions from code review

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

* cuda : fix split buffer free

* address review comments

* llama-bench : add split-mode parameter

* fix whitespace

* opencl : fix double initialization

* server : add --split-mode parameter

* use async copy and compute to improve multi-gpu performance

ggml-ci

* use async memcpys to copy the graph outputs to the CPU

* fix opencl

* use a host buffer for the cpu compute buffer for faster copies to the gpu

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2024-01-12 20:07:38 +01:00
Daniel Bevenius
930f907d3e
export-lora : use LLAMA_FILE_MAGIC_GGLA (#4894)
This commit replaces the magic number used in export-lora.cpp with
the one defined in llama.h, which is indirectly included via common.h.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-01-12 19:54:53 +02:00
Zay
e790eef21c
llama.swiftui : update models layout (#4826)
* Updated Models Layout

- Added a models drawer
- Added downloading directly from Hugging Face
- Load custom models from local folder
- Delete models by swiping left

* trimmed trailing white space

* Updated Models Layout
2024-01-12 14:48:00 +02:00
Kawrakow
326b418b59
Importance Matrix calculation (#4861)
* imatrix: 1st version

* imatrix: WIP

* Cleanup

* Update examples/imatrix/imatrix.cpp

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

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-01-12 06:59:57 +01:00
Georgi Gerganov
1d118386fe
server : fix infill when prompt is empty (#4833) 2024-01-11 23:23:49 +02:00
Georgi Gerganov
7edefbd79c
main : better name for variable n_print (#4874) 2024-01-11 22:46:26 +02:00
Georgi Gerganov
3ca63b4538
main : disable token count by default (#4874) 2024-01-11 22:43:05 +02:00
Kawrakow
469e75d0a3
llama : restore intended k-quants mixes for MoE models (#4872)
* Restore intended k-quants quantization mixes for MoE models

* Update Q2_K_S values in the quantize tool

Still using LLaMA-v1 PPL values in the quant description
today does not make much sense. But let's leave this update
for another PR.

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-01-11 21:43:15 +02:00
Laura
4330bd83fe
server : implement credentialed CORS (#4514)
* Implement credentialed CORS according to MDN

* Fix syntax error

* Move validate_api_key up so it is defined before its first usage
2024-01-11 20:02:48 +02:00
Michael Coppola
27379455c3
server : support for multiple api keys (#4864)
* server: added support for multiple api keys, added loading api keys from file

* minor: fix whitespace

* added file error handling to --api-key-file, changed code to better
reflect current style

* server: update README.md for --api-key-file

---------

Co-authored-by: Michael Coppola <info@michaeljcoppola.com>
2024-01-11 19:51:17 +02:00
Behnam M
eab6795006
server : add LOG_INFO when model is successfully loaded (#4881)
* added /health endpoint to the server

* added comments on the additional /health endpoint

* Better handling of server state

When the model is being loaded, the server state is `LOADING_MODEL`. If model-loading fails, the server state becomes `ERROR`, otherwise it becomes `READY`. The `/health` endpoint provides more granular messages now according to the server_state value.

* initialized server_state

* fixed a typo

* starting http server before initializing the model

* Update server.cpp

* Update server.cpp

* fixes

* fixes

* fixes

* made ServerState atomic and turned two-line spaces into one-line

* updated `server` readme to document the `/health` endpoint too

* used LOG_INFO after successful model loading
2024-01-11 19:41:39 +02:00
pudepiedj
43f76bf1c3
main : print total token count and tokens consumed so far (#4874)
* Token count changes

* Add show token count

* Updating before PR

* Two requested changes

* Move param def posn
2024-01-11 18:14:52 +02:00
Isaac McFadyen
2f043328e3
server : fix typo in model name (#4876) 2024-01-11 16:33:26 +02:00
Behnam M
7a9f75c38b
server : update readme to document the new /health endpoint (#4866)
* added /health endpoint to the server

* added comments on the additional /health endpoint

* Better handling of server state

When the model is being loaded, the server state is `LOADING_MODEL`. If model-loading fails, the server state becomes `ERROR`, otherwise it becomes `READY`. The `/health` endpoint provides more granular messages now according to the server_state value.

* initialized server_state

* fixed a typo

* starting http server before initializing the model

* Update server.cpp

* Update server.cpp

* fixes

* fixes

* fixes

* made ServerState atomic and turned two-line spaces into one-line

* updated `server` readme to document the `/health` endpoint too
2024-01-11 09:12:05 +02:00
Georgi Gerganov
5c1980d8d4
server : fix build + rename enums (#4870) 2024-01-11 09:10:34 +02:00
Behnam M
cd108e641d
server : add a /health endpoint (#4860)
* added /health endpoint to the server

* added comments on the additional /health endpoint

* Better handling of server state

When the model is being loaded, the server state is `LOADING_MODEL`. If model-loading fails, the server state becomes `ERROR`, otherwise it becomes `READY`. The `/health` endpoint provides more granular messages now according to the server_state value.

* initialized server_state

* fixed a typo

* starting http server before initializing the model

* Update server.cpp

* Update server.cpp

* fixes

* fixes

* fixes

* made ServerState atomic and turned two-line spaces into one-line
2024-01-10 21:56:05 +02:00
John
d34633d8db
clip : support more quantization types (#4846)
Uses ggml functions instead of hardcoded names and adds support to quantize into the modern Q-K variants.
This is just the bare minimum to get k-types working - a more refined choice of types would be needed to get best quality on low quantizations.

I ran a few tests, it doesn't break anything I could notice and a Q6_K ViT works almost as well as Q8_0 but 3 times the inference speed.
2024-01-10 15:37:09 +02:00
Justine Tunney
36e5a08b20
llava-cli : don't crash if --image flag is invalid (#4835)
This change fixes an issue where supplying `--image missing-file` would
result in a segfault due to a null pointer being dereferenced. This can
result in distracting info being printed if robust crash analysis tools
are being used.
2024-01-09 19:59:14 +02:00
Behnam M
128de3585b
server : update readme about token probs (#4777)
* updated server readme to reflect the gg/server-token-probs-4088 commit

added explanation for the API's completion result which now includes `completion_probabilities`. Also added a JSON schema that shows the type/structure of `completion_probabilities`.

* simplified the `completion_probabilities` JSON schema 

It's now easier to understand what the structure of `completion_probabilities` looks like.

* minor : fix trailing whitespace

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-01-09 12:02:05 +02:00
Zsapi
8c58330318
server : add api-key flag to documentation (#4832)
Document the api-key flag added to server in https://github.com/ggerganov/llama.cpp/pull/4441
2024-01-09 11:12:43 +02:00
Georgi Gerganov
42ea63c5a3
llama.swiftui : update readme 2024-01-08 15:57:36 +02:00
Georgi Gerganov
52531fdff8
main : add self-extend support (#4815)
* examples : add passkey test

* passkey : better prints

* passkey : select pass key pos from CLI

* passkey : simplify n_past logic

* llama : "self-extend"-like context extension

* passkey : add comment

* main : add Self-Extend support

* llama : add comment about llama_kv_cache_seq_div
2024-01-08 11:18:32 +02:00
Georgi Gerganov
b0034d93ce
examples : add passkey test (#3856)
* examples : add passkey test

* passkey : better prints

* passkey : select pass key pos from CLI

* passkey : simplify n_past logic

* make : add passkey target

* passkey : add "self-extend"-like context extension (#4810)

* llama : "self-extend"-like context extension

* passkey : add comment

* passkey : add readme
2024-01-08 11:14:04 +02:00
slaren
226460cc0d
llama-bench : add no-kv-offload parameter (#4812) 2024-01-07 17:59:01 +01:00
Alex Azarov
72d8407b36
llama.swiftui : use llama.cpp as SPM package (#4804) 2024-01-07 10:20:50 +02:00
Alex Azarov
3418c03ecc
llama.swiftui : add visionOS target (#4805) 2024-01-07 09:46:55 +02:00
Georgi Gerganov
67984921a7
server : fix n_predict check (#4798) 2024-01-07 08:45:26 +02:00
Daniel Illescas Romero
c75ca5d96f
llama.swiftui : use correct pointer for llama_token_eos (#4797) 2024-01-06 17:12:59 +02:00
Georgi Gerganov
96e80dabc6
examples : improve base-translate.sh script (#4783) 2024-01-06 11:40:24 +02:00
Georgi Gerganov
91d38876df metal : switch back to default.metallib (ggml/681)
ggml-ci
2024-01-05 18:02:06 +02:00
Georgi Gerganov
3681f22443
examples : add few-shot translation example (#4783) 2024-01-05 15:11:10 +02:00
Daniel Bevenius
b3a7c20b5c
finetune : remove unused includes (#4756)
This commit removes unused includes from finetune.cpp.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-01-04 21:45:37 +02:00
Georgi Gerganov
012cf349ae
server : send token probs for "stream == false" (#4714) 2024-01-04 19:56:33 +02:00
singularity
3c0b585561
llama.swiftui : support loading custom model from file picker (#4767)
* swiftui: support load model from file picker

* swiftui: remove trailing whitespace
2024-01-04 10:22:38 +02:00
Michael Coppola
e5804313a1
server : fix options in README.md (#4765)
* fix examples/server/README.md

* minor : fix whitespace

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-01-04 10:17:09 +02:00
singularity
46cea79e1f
llama.swiftui : fix build of ggml.metallib (#4754)
* metal: fix metal backend init failure in swiftui

* metal: build ggml.metallib instead of copy src

* llama.swift : remove debug flags from metallib build

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-01-04 09:58:16 +02:00
Justin Parker
f2eb19bd8b
server : throw an error when slot unavailable (#4741) 2024-01-03 10:43:19 +02:00
Phil H
0ef3ca2ac6
server : add token counts to html footer (#4738)
* server: add token counts to stats

* server: generate hpp

---------

Co-authored-by: phiharri <ph@got-root.co.uk>
2024-01-02 17:48:49 +02:00
Georgi Gerganov
32866c5edd
editorconfig : fix whitespace and indentation #4710 2024-01-02 13:28:15 +02:00
minarchist
5d7002d437
server : add --override-kv parameter (#4710)
* Changes to server to allow metadata override

* documentation

* flake.nix: expose full scope in legacyPackages

* flake.nix: rocm not yet supported on aarch64, so hide the output

* flake.nix: expose checks

* workflows: nix-ci: init; build flake outputs

* workflows: nix-ci: add a job for eval

* workflows: weekly `nix flake update`

* workflows: nix-flakestry: drop tag filters

...and add a job for flakehub.com

* workflows: nix-ci: add a qemu job for jetsons

* flake.nix: suggest the binary caches

* flake.lock: update

to a commit recently cached by nixpkgs-cuda-ci

---------

Co-authored-by: John <john@jLap.lan>
Co-authored-by: Someone Serge <sergei.kozlukov@aalto.fi>
2024-01-02 12:38:15 +02:00
Daniel Bevenius
775ac8712a
finetune: fix typo in README.md (#4733)
Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-01-02 10:16:55 +01:00
Georgi Gerganov
9fbda719de
clip : refactor + bug fixes (#4696)
* clip : refactor + bug fixes

ggml-ci

* server : add log message
2023-12-30 23:24:42 +02:00
Georgi Gerganov
0235b9b571
clip : use ggml_backend_buffer_is_host (#4205) 2023-12-29 18:53:34 +02:00
Steward Garcia
ce18d727a4
clip : enable gpu backend (#4205)
* clip: enable CUDA backend

* add missing kernels

* add enough padding for alignment

* remove ggml_repeat of clip.cpp

* add metal backend

* llava : fixes

- avoid ggml_repeat
- use GGML_USE_ instead of CLIP_USE_ macros
- remove unused vars

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-12-29 18:52:15 +02:00
Cuong Trinh Manh
97bbca6e85
cmake : fix ld warning duplicate libraries libllama.a (#4671)
* fix "ld: warning: ignoring duplicate libraries: '../libllama.a'"

* fix warning in example.
2023-12-29 16:39:15 +02:00
Justine Tunney
4af4801566
llava-cli : refactor to use sampling library (#4669)
This change makes it possible to use flags like `--grammar` when using
the `llava-cli` program. The rest is just code cleanup deleting a long
standing TODO comment.

This change also ensures that logging information is emitted to stderr
which helps the `llava-cli` command be more friendly to shell scripts.

See Mozilla-Ocho/llamafile@1cd334f
2023-12-29 16:38:38 +02:00
Justine Tunney
db49ff8ed7
server : replace sleep with condition variables (#4673)
The server currently schedules tasks using a sleep(5ms) busy loop. This
adds unnecessary latency since most sleep implementations do a round up
to the system scheduling quantum (usually 10ms). Other libc sleep impls
spin for smaller time intervals which results in the server's busy loop
consuming all available cpu. Having the explicit notify() / wait() code
also helps aid in the readability of the server code.

See mozilla-Ocho/llamafile@711344b
2023-12-29 16:24:12 +02:00
SakuraUmi
60f55e888c
server : fix OpenAI server sampling w.r.t. penalty. (#4675) 2023-12-29 16:22:44 +02:00
Karthik Sethuraman
b93edd22f5
server : allow to generate multimodal embeddings (#4681) 2023-12-29 16:22:10 +02:00
andrijdavid
82d6eab224
main-cmake-pkg : fix build issue (#4665)
* Fix main-cmake-pkg compilation

* Use glob to load common files

* cmake : fix trailing whitespace

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-12-29 16:18:20 +02:00
Peter Sugihara
afd997ab60
llama.swiftui : fix infinite loop, ouput timings, buff UI (#4674)
* fix infinite loop

* slight UI simplification, clearer UX

* clearer UI text, add timings to completion log
2023-12-29 15:58:56 +02:00
Justine Tunney
65e5f6dadb
Fix OpenAI server sampling w.r.t. temp and seed (#4668)
The default values for tfs_z and typical_p were being set to zero, which
caused the token candidates array to get shrunk down to one element thus
preventing any sampling. Note this only applies to OpenAI API compatible
HTTP server requests.

The solution is to use the default values that OpenAI documents, as well
as ensuring we use the llama.cpp defaults for the rest. I've tested this
change still ensures deterministic output by default. If a "temperature"
greater than 0 is explicitly passed, then output is unique each time. If
"seed" is specified in addition to "temperature" then the output becomes
deterministic once more.

See mozilla-Ocho/llamafile#117
See mozilla-Ocho/llamafile@9e4bf29
2023-12-28 15:20:00 -04:00
Daniel Bevenius
879b690a9e
finetune : fix output formatting in print_params (#4653)
This commit fixes the output formatting in the print_params function
which currently looks like this:
```console
print_params: n_vocab:   32000
print_params: n_ctx:     128
print_params: n_embd:    4096
print_params: n_ff:      11008
print_params: n_head:    32
print_params: n_head_kv: 32
print_params: n_layer:   32
print_params: norm_rms_eps          : 0.000010
print_params: rope_freq_base        : 10000.000000
print_params: rope_freq_scale       : 1.000000
```
With this comit the output will look like this:
```console
print_params: n_vocab               : 32000
print_params: n_ctx                 : 128
print_params: n_embd                : 4096
print_params: n_ff                  : 11008
print_params: n_head                : 32
print_params: n_head_kv             : 32
print_params: n_layer               : 32
print_params: norm_rms_eps          : 0.000010
print_params: rope_freq_base        : 10000.000000
print_params: rope_freq_scale       : 1.000000
```

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2023-12-27 16:16:55 +02:00
Alexey Parfenov
6123979952
server : allow to specify custom prompt for penalty calculation (#3727) 2023-12-23 11:31:49 +02:00
LeonEricsson
7082d24cec
lookup : add prompt lookup decoding example (#4484)
* initial commit, going through initializations

* main loop finished, starting to debug

* BUG: generates gibberish/repeating tokens after a while

* kv_cache management

* Added colors to distinguish drafted tokens (--color). Updated README

* lookup : fix token positions in the draft batch

* lookup : use n_draft from CLI params

* lookup : final touches

---------

Co-authored-by: Leon Ericsson <leon.ericsson@icloud.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-12-22 18:05:56 +02:00
Georgi Gerganov
afefa319f1
ggml : change ggml_scale to take a float instead of tensor (#4573)
* ggml : change ggml_scale to take a float instead of tensor

* ggml : fix CPU implementation

* tests : fix test-grad0

ggml-ci
2023-12-21 23:20:49 +02:00
Georgi Gerganov
32259b2dad
gguf : simplify example dependencies 2023-12-21 23:08:14 +02:00
Georgi Gerganov
0e18b2e7d0
llama.swiftui : add tinyllama 1.1B F16 2023-12-18 20:17:43 +02:00
Georgi Gerganov
6ff39b129d
llama.swiftui : add more models 2023-12-18 20:05:12 +02:00
Georgi Gerganov
800a489e4a
llama.swiftui : add bench functionality (#4483)
* llama.swiftui : add bench button

* llama.swiftui : initial bench functionality

* force to use n_gpu_layers on simulator

* add download buttons & expose llamaState.loadModel

* update project.pbxproj

* comment #Preview & fix editorconfig check

* gitignore : xcode stuff

* llama.swiftui : UX improvements

* llama.swiftui : avoid data copy via "downloadTask"

* llama.swiftui : remove model from project

* llama : remove "mostly" from model infos

* llama.swiftui : improve bench

---------

Co-authored-by: jhen <developer@jhen.me>
2023-12-17 19:38:41 +02:00