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1062 Commits

Author SHA1 Message Date
Nicolas Patry 6ec5288ab7
This should prevent the PyTorch overriding. (#767)
# What does this PR do?

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Fixes # (issue)


## Before submitting
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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 


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2023-08-03 17:22:45 +02:00
Nicolas Patry 8b0d608f1f
Automatically map deduplicated safetensors weights to their original values (#501) (#761)
# What does this PR do?

CI cehck for #501 

This PR automatically points tensors that were removed due to
deduplication to their still existing twin.

In `server.text_generation_server.utils.convert.py#convert_file`,
tensors that have a value equal to another tensor are removed from the
list of weights. Their name, and the name of the still-existing "twin"
are logged to the "metadata" dictionary. However, this dictionary was
not yet used during loading. This requires explicit in-code remapping
when loading the models (as mentioned in the docstring).

This PR adds some simple code to check, during loading, if a weight is
one of those removed weights. It then automatically retrieves the values
of its still-existing "twin" instead.

## What does this fix?
We currently cannot load `h2oai/h2ogpt-oig-oasst1-falcon-40b` with the
unmodified server, since the `transformer.word_embeddings.weight` weight
is equal to `lm_head.weight` and is automatically removed. The falcon
code, however, still expects this weight to exist. I could have also
added some extra checks to the model itself, though that would only be a
workaround.

## Before submitting
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---------



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Co-authored-by: Vincent Brouwers <vincentbrouwers9@gmail.com>
Co-authored-by: Vincent Brouwers <vincent.brouwers@ing.com>
2023-08-02 20:24:37 +02:00
zspo bd3088748e
add FastLinear import (#750)
# What does this PR do?

Fixes #749 

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Co-authored-by: p_spozzhang <p_spozzhang@tencent.com>
2023-08-02 20:04:46 +02:00
Florian Zimmermeister 7766fee9b1
fix typo for dynamic rotary (#745)
@Narsil
2023-07-31 18:58:46 +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
Ikko Eltociear Ashimine 2a13f1a046
chore: fix typo in mpt_modeling.py (#737)
# What does this PR do?
Fixed typo.
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implemetation -> implementation


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2023-07-31 15:43:44 +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
Jae-Won Chung b9633c46d0
Fix typing in `Model.generate_token` (#733)
## What does this PR do?

This PR fixes a minor type annotation issue in the signature of
`Model.generate_token`.

All existing overrides of `Model.generate_token` return
`Tuple[List[Generation], Optional[B]]`:

3ef5ffbc64/server/text_generation_server/models/causal_lm.py (L535-L537)

3ef5ffbc64/server/text_generation_server/models/flash_causal_lm.py (L802-L804)

3ef5ffbc64/server/text_generation_server/models/seq2seq_lm.py (L589-L591)

I suspect that back in 017a2a8c when `GeneratedText` and `Generation`
were separated, the function signature was not updated.

## Before submitting
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other checks if that's the case).
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CC @OlivierDehaene
2023-07-31 14:35:14 +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 bde25e62b3
chore: update license to HFOIL (#725) 2023-07-28 15:59:46 +02:00
OlivierDehaene afd04dc71e
feat(server): update vllm version (#723) 2023-07-28 15:36:38 +02:00
regisss f848decee6
docs: Add hardware section to TOC in README (#721) 2023-07-28 11:20:03 +02:00
regisss 5a1cccbb98
Add section about TGI on other AI hardware accelerators in README (#715)
# What does this PR do?

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As per title.


## Before submitting
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2023-07-28 09:14:03 +02:00
OlivierDehaene 9f18f4c006
v0.9.4 (#713) 2023-07-27 19:25:15 +02:00
OlivierDehaene ab96b9aec3
feat(server): support new falcon config (#712) 2023-07-27 18:38:57 +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 e64a65891b docs(README): update readme 2023-07-25 19:45:25 +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.


# What does this PR do?

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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
OlivierDehaene 1da642bd0e feat(server): add local prom and health routes if running w/ ngrok 2023-07-21 16:56:30 +02:00
Yang, Bo 15b3e9ffb0
Directly load GPTBigCode to specified device (#618)
This PR directly load GPTBigCode to specified device, avoiding moving
model between devices.

# What does this PR do?
This PR directly load GPTBigCode to specified device, avoiding moving
model between devices.


## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
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      Pull Request section?
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2023-07-21 11:27:31 +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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      to it if that's the case.
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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
fxmarty 362883f259
fix(server): llama v2 GPTQ (#648)
As per title & reported
https://github.com/huggingface/text-generation-inference/issues/601#issuecomment-1641435956
https://huggingface.co/TheBloke/Llama-2-70B-chat-GPTQ/discussions/5

Test it:

```
GPTQ_BITS=4 GPTQ_GROUPSIZE=1 text-generation-launcher --model-id TheBloke/Llama-2-70B-chat-GPTQ --port 8080 --num-shard 4 --quantize gptq
```
&
```
curl 127.0.0.1:8080/generate \
    -X POST \
    -d '{"inputs":"hey llama","parameters":{"max_new_tokens":256}}' \
    -H 'Content-Type: application/json'
```
2023-07-20 15:02:54 +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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      Pull Request section?
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      to it if that's the case.
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2023-07-20 13:53:08 +02:00
Nicolas Patry 5a1512c025
docs: Update README.md (#643) 2023-07-19 13:39:12 +02:00
Nicolas Patry 1c81df15cd
docs: Update README.md (#639) 2023-07-19 13:38:52 +02:00
OlivierDehaene b66b190403
feat(router): ngrok edge (#642) 2023-07-19 11:59:58 +02:00
OlivierDehaene fe80f5360c
feat(server): auto max_batch_total_tokens for flash att models (#630) 2023-07-19 09:31:25 +02:00
OlivierDehaene 5e6ddfd6a4
fix(server): fix llamav2 config (#635) 2023-07-18 18:49:42 +02:00
OlivierDehaene cf83f9b66f
v0.9.3 (#634) 2023-07-18 18:11:20 +02:00
Nicolas Patry 211b211ec0
feat(server): add support for llamav2 (#633) 2023-07-18 18:09:53 +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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2023-07-18 12:19:05 +02:00
OlivierDehaene 44acf72a73
fea(launcher): debug logs (#623) 2023-07-17 19:03:07 +02:00
Nicolas Patry bc2873246c
fix(launcher): Rename `b-float16` to `bfloat16` in the launcher arg (#621) 2023-07-17 18:38:16 +02:00
OlivierDehaene a2cf1bdb2f fix(server): empty_cache when stopped 2023-07-15 13:58:19 +02:00
OlivierDehaene c58a0c185b
v0.9.2 (#616) 2023-07-14 16:31:48 +02:00
OlivierDehaene 5b9de4a1d3
fix(server): blacklist local files (#609)
Close #589 #602
2023-07-13 21:54:55 +02:00
Victor Muštar c8b077be79
docs: README: Add logo + baseline (#611)
![image](https://github.com/huggingface/text-generation-inference/assets/3841370/58177321-479f-4ad1-b3bc-cec027423984)
2023-07-13 21:45:20 +02:00
OlivierDehaene 982ce3227b
feat(router): explicit warning if revision is not set (#608) 2023-07-13 18:59:38 +02:00
OlivierDehaene b7327205a6
feat(launcher): add arg validation and drop subprocess (#595) 2023-07-13 14:22:37 +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
OlivierDehaene f2f0289fb9 feat(server): empty cache on errors 2023-07-12 17:06:19 +02:00