Commit Graph

632 Commits

Author SHA1 Message Date
Xuan Son Nguyen
a46f50747b
server : fallback to chatml, add AlphaMonarch chat template (#5628)
* server: fallback to chatml

* add new chat template

* server: add AlphaMonarch to test chat template

* server: only check model template if there is no custom tmpl

* remove TODO
2024-02-22 10:33:24 +02:00
Alexey Parfenov
c5688c6250
server : clarify some params in the docs (#5640) 2024-02-22 10:27:32 +02:00
Xuan Son Nguyen
7c8bcc11dc
Add docs for llama_chat_apply_template (#5645)
* add docs for llama_chat_apply_template

* fix typo
2024-02-22 00:31:00 +01:00
Jared Van Bortel
89febfed93
examples : do not assume BOS when shifting context (#5622) 2024-02-21 10:33:54 -05:00
Pierrick Hymbert
1ecea255eb
server: health: fix race condition on slots data using tasks queue (#5634)
* server: health: fix race condition on slots data using tasks queue

* server: health:
    * include_slots only if slots_endpoint
    * fix compile warning task.target_id not initialized.
2024-02-21 15:47:48 +01:00
Daniel Bevenius
cc6cac08e3
llava : add --skip-unknown to 1.6 convert.py (#5632)
This commit adds the `--skip-unknown` option to the convert.py script
and removes the saving of the updated checkpoints to avoid updating
possibly checked out files.

The motivation for this change is that this was done for 1.5
in Commit fc0c8d286a ("llava :
update surgery script to not remove tensors") and makes the examples
more consistent.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-02-21 15:36:57 +02:00
Kawrakow
a14679cc30
IQ4_NL: 4-bit non-linear quants with blocks of 32 (#5590)
* iq4_nl: squash commits for easier rebase

* Basics (quantize, dequantize)
* CUDA dequantize and dot product
* Slightly faster CUDA dot product (120 t/s)
* Switch to 6-bit scales
* Scalar dot product
* AVX2 dot product
* ARM_NEON dot product
* Works on metal, but still slow
* Slightly better Metal dot product
* Another small Metal improvement
* Metal dot product is getting there
* Faster CUDA dot product
* Add 1/8 ffn_down layers as Q5_K when no imatrix has been provided
* Report the actual bpw
* Add _xs mix that is 4.05 bpw for non-MoE models
* Remove IQ4_XS for now, slightly adjust kvalues_iq4nl
* AVX2 dot product uses Q8_0 instead of Q8_K
* Add to test-backend-ops
* Minor fix
* Also use use Q5_K for attn_output in MoE models
* Fixes after merging latest master
* Switching to blocks of 32
* AVX2 for blocks of 32
* Scaler dot product for blocks of 32
* ARM_NEON dot product for blocks of 32
* Metal kernels for blocks of 32
* Slightly faster Metal kernels

* iq4_nl: Fix after merging with master

* iq4_nl: another fix after merging with master

* Use IQ4_NL instead of Q4_K when using k-quants is not possible

* Fix typo that makes several tests fail

* It was the ggml_vdotq thing missed inside the brackets

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-02-21 11:39:52 +02:00
CJ Pais
6560bed3f0
server : support llava 1.6 (#5553)
* server: init working 1.6

* move clip_image to header

* remove commented code

* remove c++ style from header

* remove todo

* expose llava_image_embed_make_with_clip_img

* fix zig build
2024-02-20 21:07:22 +02:00
Daniel Bevenius
4ed8e4fbef
llava : add explicit instructions for llava-1.6 (#5611)
This commit contains a suggestion for the README.md in the llava
example. The suggestion adds explicit instructions for how to convert
a llava-1.6 model and run it using llava-cli.

The motivation for this is that having explicit instructions similar to
the 1.5 instructions will make it easier for users to try this out.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-02-20 19:30:27 +02:00
Xuan Son Nguyen
9c405c9f9a
Server: use llama_chat_apply_template (#5593)
* server: use llama_chat_apply_template

* server: remove trailing space

* server: fix format_chat

* server: fix help message

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

* server: fix formatted_chat

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-02-20 15:58:27 +01:00
Pierrick Hymbert
c0a8c6db37
server : health endpoint configurable failure on no slot (#5594) 2024-02-20 09:48:19 +02:00
nopperl
9d679f0fcc
examples : support minItems/maxItems in JSON grammar converter (#5039)
* support minLength and maxLength in JSON schema grammar converter

* Update examples/json-schema-to-grammar.py

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-02-19 16:14:07 +02:00
Georgi Gerganov
1387cf60f7
llava : remove extra cont (#5587) 2024-02-19 15:23:17 +02:00
slaren
6fd413791a llava : replace ggml_cpy with ggml_cont 2024-02-19 15:09:43 +02:00
Daniel Bevenius
7084755396
llava : avoid changing the original BakLLaVA model (#5577)
This is a follup of Commit fc0c8d286a
("llava : update surgery script to not remove tensors") but this time
the change is to the BakLLaVA specific part of the surgery script.

I've been able to test this using SkunkworksAI/BakLLaVA-1 and it works
as expected using the instructions in README.md.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-02-19 10:31:59 +02:00
NawafAlansari
4480542b22
baby-llama : allocate graphs in ggml_context (#5573)
* Fixed the baby-llama issue (see issue #4830)

* minor : fix whitespaces

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-02-19 10:25:38 +02:00
Georgi Gerganov
b1de96824b
ci : fix wikitext url + compile warnings (#5569)
ggml-ci
2024-02-18 22:39:30 +02:00
Robey Holderith
5ee99c32f5
common, server : surface min_keep as its own parameter (#5567)
* Feature - surface min_keep as its own parameter

* Updated README with min_keep param
2024-02-18 21:11:16 +02:00
Pierrick Hymbert
c145f8a132
server : slots monitoring endpoint (#5550) 2024-02-18 19:39:57 +02:00
Pierrick Hymbert
e75c6279d1
server : enhanced health endpoint (#5548)
* server: enrich health endpoint with available slots, return 503 if not slots are available

* server: document new status no slot available in the README.md
2024-02-18 18:31:28 +02:00
Pierrick Hymbert
36376abe05
server : --n-predict option document and cap to max value (#5549)
* server: document --n-predict

* server: ensure client request cannot override n_predict if set

* server: fix print usage LF in new --n-predict option
2024-02-18 18:30:09 +02:00
Daniel Hiltgen
66c1968f7a
server : graceful server shutdown (#5244)
This updates the server queue to support graceful shutdown of the server on signals.
2024-02-18 18:23:16 +02:00
Herman Semenov
5d3de51f97
ggml, common, examples, tests : fixed type arguments in printf (#5528) 2024-02-18 18:20:12 +02:00
Daniel Bevenius
fc0c8d286a
llava : update surgery script to not remove tensors (#5536)
This commit updates the surgery script to not remove the tensors from the
model file. For this to work the `--skip-unknown` flag is added as an
argument to the convert.py script in README.md.

The motivation for this change is that the surgery script currently
removes the projector tensors from the model file. If the model was
checked out from a repository, the model file will have been updated
and have to be checked out again to reset this effect. If this can be
avoided I think it would be preferable.

I did not perform this change for BakLLaVA models as I am not sure
how that part works.
2024-02-18 18:19:23 +02:00
Kawrakow
bd2d4e393b
1.5 bit quantization (#5453)
* iq1_s: WIP basics

* iq1_s: CUDA is working

* iq1_s: scalar CPU dot product

* iq1_s: WIP AVX2 dot product - something is not right

* Fix tests

* Fix shadow warnings

* Fix after merge with latest master

* iq1_s: AVX2 finally works

* iq1_s: ARM_NEON dot product. Works, but not very fast

* iq1_s: better grid

* iq1_s: use IQ2_XXS for attn_output

At a cost of 0.04 extra bpw this gives a big improvement in PPL.

* iq1_s: Metal basics

Dequantize works, but not dot product

* iq1_s: Metal works, but quite slow

As usual, Apple Silicon does not like the code I write.

* iq1_s: Tests

* iq1_s: slightly faster dot product

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-02-18 18:16:55 +02:00
Ananta Bastola
6e4e973b26
ci : add an option to fail on compile warning (#3952)
* feat(ci): add an option to fail on compile warning

* Update CMakeLists.txt

* minor : fix compile warnings

ggml-ci

* ggml : fix unreachable code warnings

ggml-ci

* ci : disable fatal warnings for windows, ios and tvos

* ggml : fix strncpy warning

* ci : disable fatal warnings for MPI build

* ci : add fatal warnings to ggml-ci

ggml-ci

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-02-17 23:03:14 +02:00
Herman Semenov
4cb0727698
llava : removed excess free(NULL) operation (#5531) 2024-02-16 14:43:23 +02:00
Alexey Parfenov
6dcc02d244
server : add "samplers" param to control the samplers order (#5494) 2024-02-16 13:33:25 +02:00
Rőczey Barnabás
5f5808ca7b
server : fix system prompt cli (#5516) 2024-02-16 12:00:56 +02:00
bmwl
f486f6e1e5
ggml : add numa options (#5377)
* Added numa options to allow finer grained control as well as plumbing for a new mirror mode that will require numa.h

* Reverted Makefile

* Fixed include

* Removed sched.h from ggml.h, moved ggml_get_numa_affinity into ggml.c, removed trailing whitespace and fixed up a few inconsistent variables

* removed trailing whitespace

* Added numa options to allow finer grained control as well as plumbing for a new mirror mode that will require numa.h

* Reverting Makefile

* Fixed a number of issues with the move from BOOL to ggml_numa_strategies. Added a note about mirror mode note being implemented yet

* Removing MIRROR_MODE code for this PR

* Removing last bit of MIRROR_MODE code for this PR

* Removing unneeded branch in server.cpp example and moving get_numa_affinity and making it static

* Fixed lingering init_llama_backend() bool calls in tests and examples

* Remote enum llama_numa_strategies

* Revert bad merge with dynatemp flags

* add missing enum ggml_numa_strategies declaration and revert sync problem with master

* add missing enum ggml_numa_strategies declaration

* fixed ggml_init_numa variable

* Update ggml.h

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

* Update READMEs with info about numa flags, change INTERLEAVE strategy name to DISTRIBUTE everywhere, implement the improved distribution strategy from @rankaiyx, fix a spelling mistake and un-merge some bad merges

* split numa init out from llama_backend_init and created llama_numa_init. Updated all code paths and samples

* Fix up some boolean vs enum comparisons

* Added #ifdefs for non-Linux OS that don't have cpu_set_t datatype

* Update ggml.h

Align enum values

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

* Update ggml.c

Remove whitespace

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

* Update ggml.c

align paremeters

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

* Update examples/server/server.cpp

remove whitespace and align brace

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

* Update common/common.cpp

Remove whitespace and align brace

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

* unified ggml_numa_strategy enum and fixed text alignment in server.cpp example

* Update ggml.c

simplified return for platforms without NUMA support

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

* removed redundant else from cli argument processing of --numa

* whitespace

---------

Co-authored-by: root <root@nenya.lothlorien.ca>
Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: Jared Van Bortel <jared@nomic.ai>
2024-02-16 11:31:07 +02:00
Daniel Bevenius
60ed04cf82
llava : fix clip-model-is-vision flag in README.md (#5509)
* llava: fix clip-model-is-vision flag in README.md

This commit fixes the flag `--clip_model_is_vision` in README.md which
is does not match the actual flag:
```console
$ python convert-image-encoder-to-gguf.py --help
...
  --clip-model-is-vision
                        The clip model is a pure vision model
                        (ShareGPT4V vision extract for example)
```

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

* llava: update link to vit config in README.md

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

---------

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-02-16 11:24:39 +02:00
Georgi Gerganov
c06e45d729
clip : fix wrong loop condition 2024-02-15 18:49:08 +02:00
Elbios
0d4177126b
llava : fix memory management bug (#5491)
* Fix memory management in llava and server code

Fixes this error:

llama_new_context_with_model: graph splits (measure): 3
Available slots:
 -> Slot 0 - max context: 6000
{"timestamp":1707926446,"level":"INFO","function":"main","line":2623,"message":"model loaded"}
all slots are idle and system prompt is empty, clear the KV cache
slot 0 - loaded image
slot 0 is processing [task id: 0]
slot 0 : kv cache rm - [0, end)
slot 0 - encoding image [id: 1]
munmap_chunk(): invalid pointer
Aborted

* Make it cleaner by checking size in batch free wrapper
2024-02-15 10:01:57 +02:00
John
7930a8a6e8
llaba : hotfix for llava-1.6 image number (#5495)
Co-authored-by: John <cmt-nct@users.noreply.github.com>
2024-02-15 09:59:18 +02:00
John
ccbb277f46
llava : update README.md (#5489)
* Update README.md

* Update README.md

* Update examples/llava/README.md

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-02-14 16:49:42 +02:00
John
aa23412989
llava : support v1.6 (#5267)
* Create llava-survery-v2.py

* Update convert-image-encoder-to-gguf.py

* Update convert-image-encoder-to-gguf.py

* Rename llava-survery-v2.py to llava-surgery-v2.py

* Update convert-image-encoder-to-gguf.py

will now search for projector

* Update convert-image-encoder-to-gguf.py

whoops

* Update llava-surgery-v2.py

* Clip: Bugfix for normalization (it did not loat the 3 std and mean values)
Clip: bicubic resize function
Clip: added save-to-bmp/pil for debugging and conversion from/to 32/8 images
Clip: added normalization with FP16 precision simulation (image tensors match HF implementation, can be switched off, only used for llava-1.6)
Clip: added newline tensor, mergetype kv, image-grid kv, new resize-pad function with resolution from gridpoints
Clip: clip_image_preprocess now returns a float * vector instead of float, this way llava 1.5 and 1.6 is supported
llava: added ggml cpu graph for embedding patching, added spatial_unpad preliminary support, added a lot of comments that need to be cleaned when all is final
convert-image-encoder: fixed image-grid flattening

* whitespace corrections

* ws

* Tensors are now properly permuted.
Before the embeddings were inserted 1:1, now they are split into the 24x24 patches as in reference.

* ws

* added verbose_prompt support into cli
added stopwords for llava-1.6 into cli

* moved llava functions to llava.cpp, made clip.h C compatible API, replaced vector style functions with pointers, added a debug define to remove functions from compilation while not needed

* ws

* convert : skip unknown tensors (need for LLaVA)

* llava : update readme

* llava : fix compile warnings

* llava : style

* convert : add --skip-unknown CLI arg

* server : remove clip structs

* bugfix for non llava-1.6

It should now work with llava-1.5 as well

* clip : minor code rearrange

* llava : update readme a bit

---------

Co-authored-by: John <cmt-nct@users.noreply.github.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-02-14 09:38:35 +02:00
John
6c00a06692
gguf : add python reader example (#5216)
* Update CMakeLists.txt

* Create reader.py

* Update reader.py

* Update reader.py

another whitespace :|

* Update reader.py

* lintlintlint
2024-02-13 19:56:38 +02:00
Daniel Bevenius
263978904c
finetune : rename feed-forward tensors (w1/w2/w3) (#4839)
* finetune: rename feed-forward tensors (w1/w2/w3)

This commit renames the feed-forward tensors w1, w2 and w3 to ffn_gate,
ffn_down and ffn_up respectively.

The motivation for this change is to make it easier to understand the
purpose of the tensors. This also seems to be inline with the names
used in the llama_layer struct in llama.cpp.

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

* train-text-from-scratch: rename ff tensors

This commit renames the feed-forward tensors w1, w2 and w3 to ffn_gate,
ffn_down and ffn_up respectively.

The motivation for this change is to make it easier to understand the
purpose of the tensors. This also seems to be inline with the names
used in the llama_layer struct in llama.cpp

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

---------

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-02-13 15:15:42 +02:00
Douglas Hanley
03bf161eb6
llama : support batched embeddings (#5466)
* batched embedding: pool outputs by sequence id. updated embedding example

* bring back non-causal attention

* embd : minor improvements

* llama : minor

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-02-13 14:06:58 +02:00
Daniel Bevenius
4a46d2b792
llava : remove prog parameter from ArgumentParser (#5457)
* llava: remove prog parameter from ArgumentParser

This commit removes the `prog` parameter from `ArgumentParser`
so that it uses the default value which is the name of the script.

The motivation for this change is that currently the usage output looks
like this:
```console
$ python examples/llava/convert-image-encoder-to-gguf.py --help
usage: convert_hf_to_gguf.py [-h] ...
```
And with this change it will look like this:
```console
$ python examples/llava/convert-image-encoder-to-gguf.py --help
usage: convert-image-encoder-to-gguf.py [-h] ...
```

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

* ci: add W503 to flake8 ignore list

This commit adds W503 to the ignore list for flake8. This is done to
avoid the following error:
W503 line break before binary operator

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

---------

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-02-12 10:38:44 +02:00
Georgi Gerganov
3b169441df
sync : ggml (#5452)
* ggml-alloc : v3 (ggml/727)

* ggml-alloc v3

ggml-ci

* fix ci

ggml-ci

* whisper : check for backend buffer allocation failures

* whisper : avoid leaks when initialization fails

* cleanup

ggml-ci

* style fixes

ggml-ci

* sync : ggml

* update llama.cpp, clip.cpp, export-lora.cpp

* update finetune.cpp, train-text-from-scratch.cpp

ggml-ci

* ggml-backend : reduce alignment to 32 to match gguf and fix mmap

---------

Co-authored-by: slaren <slarengh@gmail.com>
2024-02-12 09:16:06 +02:00
Douglas Hanley
2891c8aa9a
Add support for BERT embedding models (#5423)
* BERT model graph construction (build_bert)
* WordPiece tokenizer (llm_tokenize_wpm)
* Add flag for non-causal attention models
* Allow for models that only output embeddings
* Support conversion of BERT models to GGUF
* Based on prior work by @xyzhang626 and @skeskinen

---------

Co-authored-by: Jared Van Bortel <jared@nomic.ai>
Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-02-11 11:21:38 -05:00
Alexey Parfenov
684780141a
server : allow to specify tokens as strings in logit_bias (#5003)
* server: allow to specify tokens as strings in logit_bias

* Apply suggestions from code review

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

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-02-11 15:38:14 +02:00
Georgi Gerganov
85910c5b30
main : ctrl+C print timing in non-interactive mode (#3873) 2024-02-11 15:35:50 +02:00
Johannes Gäßler
e4640d8fdf
lookup: add print for drafting performance (#5450) 2024-02-11 12:44:51 +01:00
Xuan Son Nguyen
907e08c110
server : add llama2 chat template (#5425)
* server: add mistral chat template

* server: fix typo

* server: rename template mistral to llama2

* server: format_llama2: remove BOS

* server: validate "--chat-template" argument

* server: clean up using_chatml variable

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

---------

Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
2024-02-11 12:16:22 +02:00
Daniel Bevenius
e00d2a62dd
llava : add requirements.txt and update README.md (#5428)
* llava: add requirements.txt and update README.md

This commit adds a `requirements.txt` file to the `examples/llava`
directory. This file contains the required Python packages to run the
scripts in the `examples/llava` directory.

The motivation of this to make it easier for users to run the scripts in
`examples/llava`. This will avoid users from having to possibly run into
missing package issues if the packages are not installed on their system.

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

* llava: fix typo in llava-surgery.py output

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

---------

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-02-09 15:00:59 +02:00
Riley Stewart
7c777fcd5d
server : fix prompt caching for repeated prompts (#5420) 2024-02-09 12:49:49 +02:00
Daniel Bevenius
ff4ff05c5f
llava : add missing .py, and fix paths in README.md (#5414)
This commit adds the missing .py extension to the convert-image-encoder-to-gguf
script. It also fixes the paths for the `model` and `mmproj` options in the
example llava-cli command.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-02-08 16:20:03 +02:00
Daniel Bevenius
a6e514a85f
llava: fix typo/formatting in README.md (#5405)
This commit fixes a typo in the README.md file for the llava example
which is causing the formatting to look a little off:

Clone llava-v15-7b`` and clip-vit-large-patch14-336`` locally

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-02-08 09:58:19 +01:00