Commit Graph

170 Commits

Author SHA1 Message Date
Florian Zimmermeister b03d2621a7
add transformers gptq support (#963)
Proposal to fix
https://github.com/huggingface/text-generation-inference/issues/962
2023-09-07 10:19:42 +02:00
Maxime Laboissonnière 935a77fb74
Fix exllama wronfully loading (#990)
# What does this PR do?
The
[changes](https://github.com/huggingface/text-generation-inference/pull/986/files#diff-b72e45030214e50c8ff6e3be837057b3f3368b9779fd942ca680f949fe069eafR176)
disabling exllama on old compute had unintended consequences of not
setting `use_exllama` to `False` if `HAS_EXLLAMA` equals `False` **and**
`CAN_EXLLAMA` equals `False`. This fixes this.

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2023-09-07 09:17:22 +02:00
Nicolas Patry 211e7b7e35
Disabling exllama on old compute. (#986)
# What does this PR do?

Disabling exllama on old compute.

Exllama + T4 don't play nice together, this will disable it right away
to avoid issues at runtime.

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2023-09-06 15:01:00 +02:00
Nicolas Patry 4f5d93ecd0
Fixing top_k tokens when k ends up < 0 (#966)
# What does this PR do?

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2023-09-01 00:22:03 +02:00
Nicolas Patry 211b54ac41
Rebased #617 (#868)
# What does this PR do?

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---------

Co-authored-by: Vincent Brouwers <vincent.brouwers@ing.com>
2023-08-28 11:43:47 +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 2774b0ab44
Fixing watermark. (#851)
# What does this PR do?

Fixes #843 
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2023-08-16 07:17:26 +02:00
Nicolas Patry b5087c4f4e
Fix rope dynamic + factor (#822)
# What does this PR do?

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Fixes #816

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2023-08-14 14:09:51 +02:00
Nicolas Patry 1fdc88ee90
Fixing non 4bits quantization. (#785)
# What does this PR do?

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Fixes #784 

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2023-08-07 13:02:00 +02:00
Nicolas Patry 891e19cc51
Fix dynamic rope. (#783)
# What does this PR do?

Typo

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2023-08-07 12:28:19 +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
zspo f91e9d282d
fix build tokenizer in quantize and remove duplicate import (#768)
# What does this PR do?

Fixes #732 
And remove duplicate AutoTokenizer import

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2023-08-03 22:21:33 +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 


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2023-08-03 17:22:45 +02:00
Nicolas Patry d3d8f1bd6b
Typo fix. (#746)
# What does this PR do?

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2023-07-31 18:57:29 +02:00
Nicolas Patry 15fc64668f
fix(server): Failing quantize config after local read. (#743)
# What does this PR do?

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2023-07-31 17:51:26 +02:00
Nicolas Patry 932bdd93ff
Adding Rope scaling. (#741)
# What does this PR do?


- Adds Rope NTK scaling.

Done because
https://github.com/huggingface/text-generation-inference/pull/529 was
closed
Took some code from
https://github.com/huggingface/transformers/pull/24653

- `--rope-scaling` and `--rope-factor` are added separately. I
considered having a single one and parsing something line ("linear:4.0"
, or "dynamic") but decided against
it because it would push more parsing+validation a bit everywhere (both
in the launcher and the server).


Fixes #512




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2023-07-31 15:38:47 +02:00
Nicolas Patry 92bb56b0c1
Local gptq support. (#738)
# What does this PR do?

Redoes #719

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2023-07-31 10:32:52 +02:00
OlivierDehaene 3ef5ffbc64
v1.0.0 (#727) 2023-07-28 17:43:46 +02:00
OlivierDehaene afd04dc71e
feat(server): update vllm version (#723) 2023-07-28 15:36:38 +02:00
OlivierDehaene 8bd0adb135
fix(server): fix quantization python requirements (#708) 2023-07-27 12:28:10 +02:00
Nicolas Patry a0d55358d2
feat(server): Using `quantize_config.json` instead of GPTQ_BITS env variables. (#671)
- Current PR is not great because we're side stepping the
  `Weights.__init__` but Weights shouldn't requires anything related
  to the config or the model_id as it aims to be a simple Wrapper
  over multi file loading.
- Ideal solution would be to use something like Rust enum
  ```
  enum Quantize{
    Bitandbytes(Bitsandbytes),
    GPTQ(bits: usize, groupsize: usize)
  ```
  And passing that around during load. Unfortunately we don't
  have access to this, so for now, side-stepping seems easier.

- Re-enabling groupsize<0 with exllama (confirmed it works.)

Helps #601 

In next steps we should make sure our quantization script uses that
format and make it standard.


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2023-07-25 13:00:27 +02:00
OlivierDehaene 37df6df38e
fix(server): fix exllama buffers (#689)
Close #683
2023-07-24 14:25:43 +02:00
OlivierDehaene 73a4d65d26
feat: add cuda memory fraction (#659)
Close #673
2023-07-24 11:43:58 +02:00
Nicolas Patry d5b5bc750f
feat(server): Add exllama GPTQ CUDA kernel support #553 (#666)
Just trying to get the integration tests to pass.


# What does this PR do?

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---------

Co-authored-by: Felix Marty <9808326+fxmarty@users.noreply.github.com>
2023-07-21 10:59:00 +02:00
OlivierDehaene bf94df3c71
fix(server): use mem_get_info to get kv cache size (#664)
Close
https://github.com/huggingface/text-generation-inference/issues/649
Close
https://github.com/huggingface/text-generation-inference/issues/651
Close
https://github.com/huggingface/text-generation-inference/issues/653
Close #636
2023-07-20 17:23:49 +02:00
Nicolas Patry 08b8eec1d7
fix(server): Fixing non parameters in quantize script `bigcode/starcoder` was an example. (#661) 2023-07-20 16:04:15 +02:00
cdawg 214c06f510
Add trust_remote_code to quantize script (#647)
# What does this PR do?

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Fixes a bug appeared with MR #587 fixing issue #552.
See the discussion in #552.

With MR #587 the trust_remote_code variable is not passed to
AutoModelForCausalLM, but is found in the function signature. This
prevents models like falcon to be quantized, because trust_remote_code
is required. This MR fixes the issue.


## Before submitting
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2023-07-20 13:53:08 +02:00
OlivierDehaene 3b71c38558
feat(server): flash attention v2 (#624) 2023-07-18 16:21:18 +02:00
Nicolas Patry 4d38a1c4ad
feat(server): Reworking the quantization script so it's still universal (not llama specific) (#587)
but should work on more configurations (no need for 2 GPUs, less RAM
usage).


# What does this PR do?

Reworking the quantization script so it's still universal (not llama
specific)

but should work on more configurations (no need for 2 GPUs, less RAM
usage).

Still need to investigate the potential differences in quantization
results.


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Fixes # (issue)


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2023-07-18 12:19:05 +02:00
OlivierDehaene 5b9de4a1d3
fix(server): blacklist local files (#609)
Close #589 #602
2023-07-13 21:54:55 +02:00
ssmi153 3628559516
GPTQ Env vars: catch correct type of error (#596)
# What does this PR do?

When passing in environment variables like gptq_bits, we still get
errors thrown from TGI because the try/catch block is catching the wrong
type of error. This PR aims to fix that.

@Narsil - let me know if this is how you want this formatted. My Python
is a little shaky, so I hope this syntax is correct.
2023-07-12 19:57:46 +02:00
Nicolas Patry 67347950b7
feat(server): Implements sharding for non divisible `vocab_size`. (#583)
- The code is relatively easy (just disable the checks on Embedding and
Head)

This cannot be done in the same easy fashion for hidden_dim/head_dim.
It's relatively easy on some models (classic MHA) but it would make the
other
models (MQA) much more complex, and GPTQ quantization another quite
hairy piece
of code.
2023-07-12 16:43:31 +02:00
ssmi153 2c4bf88268
fix(server): Bug fixes for GPTQ_BITS environment variable passthrough (#590)
# What does this PR do?

This fixes a typo and extends the GPTP_BITS environment variables
through to the second method which requires the same logic. Please let
me know if there's anything I've misunderstood in this change.

Thanks @Narsil for the original fix.
2023-07-12 14:17:35 +02:00
Nicolas Patry 5bd2ab6583
feat(server): Support for env value for GPTQ_BITS and GPTQ_GROUPSIZE. (#580)
# What does this PR do?

Some models are already converted, and do not have those values in the
file, this enables users to use them with less friction.

Went for pure env based because adding flags would end up (imo) very
tedious to maintain. There's a lot of sanitation to do: those flags
would be errors if not used in conjuction with `--quantize gptq`.
Then the flags need to exist in the launcher and the server passing them
all throughout all function calls.

This PR is intended as an easy escape hatch, not the defacto method to
use gptq in TGI.

Fixes #500
2023-07-12 10:00:02 +02:00
Nicolas Patry e943a294bc
fix(server): harden the weights choice to save on disk. (#561)
- Look at `transformers` base class to check for
  `_key_to_ignore_on_load_missing` or `_tied_weights` which are the
  standard attributes to select the keys to NOT save on disk (since they
  are ignored)

- Modified safetensors code (to be reflected in safetensors even if it's
  an internal function).
  
- Will not work for trust_remote_code=True repos (like santacoder).

Should help with :
https://github.com/huggingface/text-generation-inference/issues/555
and : https://github.com/huggingface/text-generation-inference/pull/501
and https://github.com/huggingface/text-generation-inference/issues/556
and
https://github.com/huggingface/text-generation-inference/issues/482#issuecomment-1623713593
2023-07-07 14:50:12 +02:00
OlivierDehaene 31e2253ae7
feat(server): use latest flash attention commit (#543)
@njhill FYI
2023-07-04 20:23:55 +02:00
Nick Hill e4b26aa10b
fix(server): avoid errors for very small top_p values (#544)
See https://github.com/huggingface/transformers/pull/24111

I didn't add validation to the `__init__` method since it's not done for
other values/warpers.
2023-07-04 20:11:33 +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 e74bd41e0f
feat(server): add paged attention to flash models (#516)
Closes #478
2023-06-30 19:09:59 +02:00
Antoni Baum ae466a8736
fix(server): Do not init process group if already initialized (#388) 2023-06-26 12:32:54 +02:00
Nicolas Patry aefde28b45
feat(server): Add inference support for GPTQ (llama + falcon tested) + Quantization script (#438)
Let's start discussing implementation.

- Need to expose the quantization scripts (either included here or add
doc on how to use https://github.com/qwopqwop200/GPTQ-for-LLaMa)
- Make sure GPTQ works for multiple models (priority to Falcon).

Currently it means that every place we use `get_{tensor|sharded}` to
check for quantization.

My idea is to reintegrate as much as possible into `utils/layer.py` by
expanding `load_multi` to be a bit more generic.
This might require some thinking, but ultimately the
`qweight,qzeros,scales,g_idx` should be in a single place, and
independant of bias presence.

# What does this PR do?

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---------

Co-authored-by: Ubuntu <ubuntu@ip-172-31-41-161.ec2.internal>
Co-authored-by: OlivierDehaene <olivier@huggingface.co>
2023-06-26 12:27:01 +02:00
Nicolas Patry 776d150c55
feat(server): Adding new ignore_rule for conversion. (#485) 2023-06-23 12:41:13 +02:00
Nicolas Patry 49b4b33e80
feat(server): Update convert logic. (#483)
Should be more robust to shared tensors (ok when using
      `from_pretrained). But forcing us to add new checks in our loading
      code (since the chosen key to keep might be different from
      `transformers`).

---------

Co-authored-by: Ubuntu <ubuntu@ip-172-31-41-161.ec2.internal>
2023-06-23 12:40:46 +02:00
OlivierDehaene 53aa9194c8
fix(server): fix warpers on CPU (#472)
Closes #471
2023-06-20 11:06:10 +02:00
OlivierDehaene ece7ffa40a
feat(server): improve flash attention import errors (#465)
@lewtun, is this enough?

Closes #458
Closes #456
2023-06-19 09:53:45 +02:00
OlivierDehaene e496c9ba5b
feat(server): optimize dist ops (#434) 2023-06-09 11:55:29 +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 6abec14a7e
feat(server): batch tokenization for flash causal lm (#411) 2023-06-05 16:09:41 +02:00
OlivierDehaene 87dc034b59
feat(server): add retry on download (#384) 2023-05-31 10:57:53 +02:00
OlivierDehaene b8b950b37c
feat(server): support RefinedWeb models (#379) 2023-05-30 18:25:19 +02:00
OlivierDehaene 62f91f78ac
feat(server): support vectorized warpers in flash causal lm (#317)
Co-authored-by: Joel Lamy-Poirier <joel.lamy-poirier@servicenow.com>
2023-05-26 12:30:27 +02:00
OlivierDehaene e71471bec9
feat: add snapshot testing (#282) 2023-05-15 23:36:30 +02:00
Nicolas Patry f58f0a0364
Single place for TP layers + Dropout Layer Norm + FastLinear (#329)
# What does this PR do?

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## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the
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2023-05-15 17:30:47 +02:00
OlivierDehaene 4f6d038c0b fix(server): fix multinomial implem in Sampling 2023-05-11 13:30:38 +02:00
OlivierDehaene a6c18c39bb
feat(server): use cuda graph in logits warping (#302) 2023-05-10 19:08:54 +02:00
OlivierDehaene 68e9d6ab33
feat(server): shard token decode (#303) 2023-05-10 15:48:21 +02:00
Nicolas Patry b4aa87db58
fea(server): decrease convert RAM requirements (#286) 2023-05-05 17:57:02 +02:00
Nicolas Patry 690fc31757
fix(server): fix convert (#284) 2023-05-05 15:28:08 +02:00
Nicolas Patry f08343d44d
fix(server): Removes the parallelism in file convertion (during download) (#275) 2023-05-04 15:22:54 +02:00
OlivierDehaene 85aa7e2e7b
feat(server): support hf endpoint weight layout (#266) 2023-05-03 11:36:24 +02:00
OlivierDehaene f26dfd0dc1
feat(server): support OPT models (#55)
OPT models do not all have a `tokenizer.json` file on the hub at the
moment. Can't merge for now.
2023-04-11 19:16:41 +02:00
OlivierDehaene 3f2542bb6a
fix(server): fix escape characters in stop sequence (#155) 2023-04-05 19:37:41 +02:00
OlivierDehaene 610bb1f978
feat(benchmark): tui based benchmarking tool (#149) 2023-03-30 15:26:27 +02:00
OlivierDehaene d6a93fe992
fix(server): fix flash-neox scores warping (#137) 2023-03-24 18:21:41 +01:00
OlivierDehaene 05e9a796cc
feat(server): flash neoX (#133) 2023-03-24 14:02:14 +01:00
OlivierDehaene 8ad60b752f
fix(server): add position ids to neox (#126) 2023-03-15 13:12:49 +01:00
OlivierDehaene c0795de2f2
fix(server): do not warp prefill logits (#116) 2023-03-09 13:00:10 +01:00
OlivierDehaene 1a2d68250a
feat: support typical sampling (#114)
closes #112
2023-03-09 11:33:57 +01:00
OlivierDehaene 941cd42e0c
fix(server): fix index out of range for watermarking (#110) 2023-03-08 18:29:08 +01:00
OlivierDehaene 3fef90d50f
feat(clients): Python client (#103) 2023-03-07 18:52:22 +01:00