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110 Commits

Author SHA1 Message Date
Nicolas Patry 00b8f36fba
Prepare for v1.1.1 (#1100)
# What does this PR do?

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2023-10-05 16:09:49 +02:00
Nicolas Patry a049864270
Preping 1.1.0 (#1066)
# What does this PR do?

Upgrade all relevant versions and dependencies.

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2023-09-27 10:40:18 +02:00
Nicolas Patry c5de7cd886
Add AWQ quantization inference support (#1019) (#1054)
# Add AWQ quantization inference support

Fixes
https://github.com/huggingface/text-generation-inference/issues/781

This PR (partially) adds support for AWQ quantization for inference.
More information on AWQ [here](https://arxiv.org/abs/2306.00978). In
general, AWQ is faster and more accurate than GPTQ, which is currently
supported by TGI.

This PR installs 4-bit GEMM custom CUDA kernels released by AWQ authors
(in `requirements.txt`, just one line change).

Quick way to test this PR would be bring up TGI as follows:

```
text-generation-server download-weights abhinavkulkarni/codellama-CodeLlama-7b-Python-hf-w4-g128-awq

text-generation-launcher \
--huggingface-hub-cache ~/.cache/huggingface/hub/ \
--model-id abhinavkulkarni/codellama-CodeLlama-7b-Python-hf-w4-g128-awq \
--trust-remote-code --port 8080 \
--max-input-length 2048 --max-total-tokens 4096 --max-batch-prefill-tokens 4096 \
--quantize awq
```

Please note:
* This PR was tested with FlashAttention v2 and vLLM.
* This PR adds support for AWQ inference, not quantizing the models.
That needs to be done outside of TGI, instructions

[here](f084f40bd9).
* This PR only adds support for `FlashLlama` models for now.
* Multi-GPU setup has not been tested. 
* No integration tests have been added so far, will add later if
maintainers are interested in this change.
* This PR can be tested on any of the models released

[here](https://huggingface.co/abhinavkulkarni?sort_models=downloads#models).

Please refer to the linked issue for benchmarks for

[abhinavkulkarni/meta-llama-Llama-2-7b-chat-hf-w4-g128-awq](https://huggingface.co/abhinavkulkarni/meta-llama-Llama-2-7b-chat-hf-w4-g128-awq)
vs

[TheBloke/Llama-2-7b-Chat-GPTQ](https://huggingface.co/TheBloke/Llama-2-7b-Chat-GPTQ).

Please note, AWQ has released faster (and in case of Llama, fused)
kernels for 4-bit GEMM, currently at the top of the `main` branch at
https://github.com/mit-han-lab/llm-awq, but this PR uses an older commit
that has been tested to work. We can switch to latest commit later on.

## Who can review?

@OlivierDehaene OR @Narsil

---------



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---------

Co-authored-by: Abhinav M Kulkarni <abhinavkulkarni@gmail.com>
Co-authored-by: Abhinav Kulkarni <abhinav@concentric.ai>
2023-09-25 15:31:27 +02:00
Nicolas Patry 5485c142e8
New release. (#941)
# What does this PR do?

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2023-08-29 14:28:22 +02:00
Nicolas Patry bce5e22444
Adding Idefics multi modal model. (#842)
Co-Authored-By: Victor Sanh <victorsanh@gmail.com>


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---------

Co-authored-by: Victor Sanh <victorsanh@gmail.com>
2023-08-17 14:38:49 +02:00
Nicolas Patry 09eca64227
Version 1.0.1 (#836)
# What does this PR do?

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2023-08-14 11:23:11 +02:00
Nicolas Patry cc7bb5084d
Upgrade transformers (fix protobuf==3.20 issue) (#795)
# What does this PR do?

Fixes #531

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2023-08-11 16:46:08 +02:00
Nicolas Patry 16fadcec57
Merge BNB 4bit. (#770)
# What does this PR do?


See #626 
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---------

Co-authored-by: krzim <zimmerk4@live.com>
2023-08-03 23:00:59 +02:00
Nicolas Patry 6ec5288ab7
This should prevent the PyTorch overriding. (#767)
# What does this PR do?

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2023-08-03 21:54:39 +02:00
Nicolas Patry ac736fd89c
feat(server): Add native support for PEFT Lora models (#762)
- Will detect `peft` model by finding `adapter_config.json`.
- This triggers a totally dedicated `download-weights` path
- This path, loads the adapter config, finds the base model_id
- It loads the base_model
- Then peft_model
- Then `merge_and_unload()`
- Then `save_pretrained(.., safe_serialization=True)
- Add back the config + tokenizer.merge_and_unload()`
- Then `save_pretrained(.., safe_serialization=True)
- Add back the config + tokenizer.
- The chosen location is a **local folder with the name of the user
  chosen model id**

PROs:

- Easier than to expect user to merge manually
- Barely any change outside of `download-weights` command.
- This means everything will work in a single load.
- Should enable out of the box SM + HFE

CONs:

- Creates a local merged model in unusual location, potentially
  not saved across docker reloads, or ovewriting some files if the PEFT
  itself was local and containing other files in addition to the lora

Alternatives considered:
- Add `local_files_only=True` every where (discard because of massive
  code change for not a good enough reason)
- Return something to `launcher` about the new model-id (a cleaner
  location for this new model), but it would
  introduce new communication somewhere where we didn't need it before.
- Using the HF cache folder and *stopping* the flow after
  `download-weights` and asking user to restart with the actual local
  model location


Fix #482 


# What does this PR do?

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2023-08-03 17:22:45 +02:00
OlivierDehaene 3ef5ffbc64
v1.0.0 (#727) 2023-07-28 17:43:46 +02:00
OlivierDehaene 9f18f4c006
v0.9.4 (#713) 2023-07-27 19:25:15 +02:00
OlivierDehaene 2efd46ef95 fix(server): fix missing datasets in quantize 2023-07-27 14:50:45 +02:00
OlivierDehaene 8bd0adb135
fix(server): fix quantization python requirements (#708) 2023-07-27 12:28:10 +02:00
OlivierDehaene cf83f9b66f
v0.9.3 (#634) 2023-07-18 18:11:20 +02:00
OlivierDehaene c58a0c185b
v0.9.2 (#616) 2023-07-14 16:31:48 +02:00
OlivierDehaene 31b36cca21
v0.9.1 (#558) 2023-07-06 16:05:42 +02:00
OlivierDehaene 31e2253ae7
feat(server): use latest flash attention commit (#543)
@njhill FYI
2023-07-04 20:23:55 +02:00
Nicolas Patry 1da07e85aa
feat(server): Add Non flash MPT. (#514)
# What does this PR do?


This adds a non flash version of MPT.
Flash is harder because we need to create a bias ready cuda kernel of
flash attention.

Fixes
https://github.com/huggingface/text-generation-inference/issues/361
Fixes
https://github.com/huggingface/text-generation-inference/issues/491
Fixes
https://github.com/huggingface/text-generation-inference/issues/290
2023-07-03 13:01:46 +02:00
OlivierDehaene e28a809004
v0.9.0 (#525) 2023-07-01 19:25:41 +02:00
Nicolas Patry abd58ff82c
feat(server): Rework model loading (#344)
# What does this PR do?

Reworked the loading logic. Idea is to use cleaner loading code:

- Remove need for `no_init_weights`
- Remove all weird `bnb_linear` and `load_weights` and
`post_load_weights`.

New code layout:

- New class `Weights` in charge of handling loading the weights from
multiple files into appropiate tensors (potentially sharded)
- TP layers now are "shells", they contain the code to know what kind of
sharding we need + eventual `all_reduce`. They do not inherit from
linear, but they contain some kind of Linear instead
- the contained linear can be either FastLinear, BnbLinear or GPTq
Linear next.
- All modeling code is explictly made for sharding, process group is
just no-ops for non sharded code (removes a lot of test cases)

![Screenshot from 2023-05-19
23-19-59](https://github.com/huggingface/text-generation-inference/assets/204321/9a802654-74a3-488c-87a8-073743a6143f)

---------

Co-authored-by: Ubuntu <ubuntu@ip-172-31-41-161.taildb5d.ts.net>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-41-161.ec2.internal>
Co-authored-by: OlivierDehaene <olivier@huggingface.co>
Co-authored-by: OlivierDehaene <23298448+OlivierDehaene@users.noreply.github.com>
2023-06-08 14:51:52 +02:00
OlivierDehaene e7248fe90e v0.8.2 2023-06-01 19:49:13 +02:00
OlivierDehaene db2ebe3947 v0.8.1 2023-05-31 12:08:40 +02:00
OlivierDehaene 081b926584 v0.8.0 2023-05-30 18:39:35 +02:00
OlivierDehaene d31562f300
v0.7.0 (#353) 2023-05-23 21:20:49 +02:00
OlivierDehaene 94377efa78
chore(sever): update requirements (#357)
Fixes #338
2023-05-23 18:03:22 +02:00
OlivierDehaene 91d9beec90
fix(server): fix init for flash causal lm (#352)
Fixes #347
2023-05-22 15:05:32 +02:00
OlivierDehaene 37b64a5c10
chore(server): update safetensors version (#235) 2023-04-25 13:50:56 +02:00
OlivierDehaene 98a3e0d135
chore(server): update huggingface-hub (#227) 2023-04-24 15:57:13 +02:00
OlivierDehaene 6ded76a4ae
v0.6.0 (#222) 2023-04-21 21:00:57 +02:00
OlivierDehaene 6837b2eb77
fix(docker): remove unused dependencies (#205) 2023-04-19 19:39:31 +02:00
OlivierDehaene 5d27f5259b
fix(server): fix hf_transfer issue with private repos (#203) 2023-04-19 17:36:16 +02:00
OlivierDehaene 7a1ba58557
fix(docker): fix docker image dependencies (#187) 2023-04-17 00:26:47 +02:00
OlivierDehaene 64347b05ff
fix(ci): fix CVE in github-slug-action (#174) 2023-04-13 12:43:05 +02:00
OlivierDehaene 6f0f1d70f6
v0.5.0 (#168) 2023-04-11 20:32:18 +02:00
OlivierDehaene 299217c95c
feat(server): add flash attention llama (#144) 2023-04-11 16:38:22 +02:00
OlivierDehaene fef1a1c381
v0.4.3 (#152) 2023-03-30 17:28:14 +02:00
OlivierDehaene 84722f3e33
v0.4.2 (#151) 2023-03-30 17:10:01 +02:00
OlivierDehaene ab5fd8cf93
v0.4.1 (#140) 2023-03-26 16:37:51 +02:00
OlivierDehaene 411d6247f4
v0.4.0 (#119) 2023-03-09 16:07:01 +01:00
OlivierDehaene 3fef90d50f
feat(clients): Python client (#103) 2023-03-07 18:52:22 +01:00
OlivierDehaene 1c19b0934e
v0.3.2 (#97) 2023-03-03 18:42:20 +01:00
OlivierDehaene 2d39f199ae
feat(server): update to hf_transfer==0.1.2 (#93) 2023-03-03 11:26:27 +01:00
OlivierDehaene 4b1c9720c0
v0.3.1 (#84) 2023-02-24 13:27:41 +01:00
OlivierDehaene 17bc841b1b
feat(server): enable hf-transfer (#76) 2023-02-18 14:04:11 +01:00
OlivierDehaene c720555adc
v0.3.0 (#72) 2023-02-16 17:28:29 +01:00
OlivierDehaene 9af454142a
feat: add distributed tracing (#62) 2023-02-13 13:02:45 +01:00
OlivierDehaene 2fe5e1b30e
V0.2.1 (#58) 2023-02-07 15:40:25 +01:00
OlivierDehaene 20c3c5940c
feat(router): refactor API and add openAPI schemas (#53) 2023-02-03 12:43:37 +01:00
OlivierDehaene 54fec93193
fix(server): fix seeding with multiple shards (#44) 2023-01-31 16:01:15 +01:00
OlivierDehaene fcc2c5fcbf
feat(launcher): Log server stdout (#19)
Co-authored-by: Nick Hill <nickhill@us.ibm.com>
2023-01-05 12:01:23 +01:00
OlivierDehaene a2985036aa
feat(server): Add model tests (#6) 2022-12-08 18:49:33 +01:00
OlivierDehaene 4236e41b0d feat(server): Improved doc 2022-11-07 12:53:56 +01:00
OlivierDehaene b3b7ea0d74 feat: Use json formatter by default in docker image 2022-11-02 17:29:56 +01:00
OlivierDehaene 3cf6368c77 feat(server): Support all AutoModelForCausalLM on a best effort basis 2022-10-28 19:24:00 +02:00
OlivierDehaene 09674e6df9 feat(server): Support bitsandbytes 2022-10-27 14:25:29 +02:00
Olivier Dehaene f16f2f5ae1 v0.1.0 2022-10-20 19:14:44 +02:00
Olivier Dehaene 5e5d8766a2 feat: Improve error handling 2022-10-17 14:59:00 +02:00
Olivier Dehaene bf99afe916 feat: Docker image 2022-10-14 15:56:21 +02:00
Olivier Dehaene 295831a481 Init 2022-10-08 12:30:12 +02:00