Commit Graph

638 Commits

Author SHA1 Message Date
Nicolas Patry 3238c49121
Add a stale bot. (#1313) 2023-12-05 14:42:55 +01:00
fxmarty 25b5f81941
Fix AMD documentation (#1307)
As per title
2023-12-04 22:09:51 +09:00
OlivierDehaene ccd5725a0c v1.2.0 2023-11-30 15:18:15 +01:00
Nicolas Patry 624800c4de
Make GPTQ test less flaky (#1295)
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2023-11-28 21:22:35 +01:00
Nicolas Patry ba552e1a82
Let each model resolve their own default dtype. (#1287)
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2023-11-28 17:54:26 +01:00
Nicolas Patry 3c71c656c7
`make install-flash-attn-v2-cuda` should work like `make install-flash-attn-v2` used to work. (#1294)
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2023-11-28 16:28:40 +01:00
fxmarty b2b5df0e94
Add RoCm support (#1243)
This PR adds support for AMD Instinct MI210 & MI250 GPUs, with paged
attention and FAv2 support.

Remaining items to discuss, on top of possible others:
* Should we have a
`ghcr.io/huggingface/text-generation-inference:1.1.0+rocm` hosted image,
or is it too early?
* Should we set up a CI on MI210/MI250? I don't have access to the
runners of TGI though.
* Are we comfortable with those changes being directly in TGI, or do we
need a fork?

---------

Co-authored-by: Felix Marty <felix@hf.co>
Co-authored-by: OlivierDehaene <olivier@huggingface.co>
Co-authored-by: Your Name <you@example.com>
2023-11-27 14:08:12 +01:00
Nicolas Patry ed2a3f617e
Exllama v2 (#1211)
# What does this PR do?

See #1165

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---------

Co-authored-by: Florian Zimmermeister <flozi00.fz@gmail.com>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-24-153.ec2.internal>
2023-11-25 22:38:38 +01:00
Nicolas Patry 3c02262f29 Reduce race condition on file system for test 2023-11-23 15:42:48 +00:00
Vince Jankovics c6bb76703f
Fix IDEFICS dtype (#1214)
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This forces the use of `bfloat16` for IDEFICS. The issue is that with
`float16` the 80b model gives garbage output. Let me know if this
solution is not appropriate and I'll adjust accordingly. For the details
see below.

The current behaviour:
```sh
$ curl 127.0.0.1:8080/generate -X POST -d '{"inputs":"What is Deep Learning?","parameters":{"max_new_tokens":20}}' -H 'Content-Type: application/json'
{"generated_text":""}
```

On closer inspection with:
```python
import requests

headers = { "Content-Type": "application/json"}

query = "What is Deep Learning?"
data = {
    "inputs": query,
    "parameters": {
        "max_new_tokens": 10,
        "return_full_text": True,
        "decoder_input_details": True,
        "do_sample": False,
    },
}

api_url = "http://127.0.0.1:8080"
response = requests.post(api_url + "/generate", headers=headers, json=data).json()

for i in ['prefill', 'tokens']:
    print(f'### {i}')
    print(repr(''.join([t['text'] for t in response['details'][i]])))
```

Prints:
```
### prefill
'<s>WhatisDeepLearning?'
### tokens
'<unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>'
########
```

With the change in this PR it prints:
```
### prefill
'<s>WhatisDeepLearning?'
### tokens
'\n\nDeep Learning is a subset of machine'
```

Note, using the Transformers implementation (with
`IdeficsForVisionText2Text.from_pretrained`) produces the latter
(correct) output as well.
This only happens with the 80b model, the 9b model is not as sensitive
to the dtype (as also mentioned in the code).

The reason for "forcing" this in the IDEFICS init method, is because if
quantization is used, then the dtype cannot be set explicitly. And since
it's left as `None`, it's set to `float16` by default
[here](96a982ad8f/server/text_generation_server/models/__init__.py (L90)).
I.e. there's no other way to manually change the dtype if someone is
using quantization:
```sh
$ docker run .... ghcr.io/huggingface/text-generation-inference:latest --model-id HuggingFaceM4/idefics-80b-instruct --dtype bfloat16 --quantize bitsandbytes-nf4
.....
2023-10-31T12:42:26.710401Z  INFO shard-manager: text_generation_launcher: Starting shard rank=0
2023-10-31T12:42:30.315734Z ERROR shard-manager: text_generation_launcher: Shard complete standard error output:

Traceback (most recent call last):

  File "/opt/conda/bin/text-generation-server", line 8, in <module>
    sys.exit(app())

  File "/opt/conda/lib/python3.9/site-packages/text_generation_server/cli.py", line 80, in serve
    raise RuntimeError(

RuntimeError: Only 1 can be set between `dtype` and `quantize`, as they both decide how goes the final model.
 rank=0
Error: ShardCannotStart
2023-10-31T12:42:30.414010Z ERROR text_generation_launcher: Shard 0 failed to start
2023-10-31T12:42:30.414044Z  INFO text_generation_launcher: Shutting down shards
```

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

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2023-11-23 15:00:09 +01:00
OlivierDehaene 35509ff5de
chore: update to torch 2.1.0 (#1182)
Close #1142
2023-11-23 13:38:50 +01:00
Traun Leyden e12c34bd25
Load PEFT weights from local directory (#1260)
# What does this PR do?

Enables PEFT weights to be loaded from a local directory, as opposed to
a hf hub repository. It is a continuation of the work in PR
https://github.com/huggingface/text-generation-inference/pull/762

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Fixes #1259 


## Before submitting
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this repo, and it doesn't look like this code is covered anyway**
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---------

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2023-11-23 12:56:17 +01:00
Diwank Singh Tomer 91111a0dc2
Fix missing `trust_remote_code` flag for AutoTokenizer in utils.peft (#1270)
Peft loading function was missing the
`trust_remote_code=trust_remote_code` argument causing the custom
tokenizer code to be not found.


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2023-11-23 12:41:05 +01:00
Nicolas Patry b226e469c9
Update README.md (#1272) 2023-11-21 10:39:18 +01:00
OlivierDehaene 3dbc649b11
fix: do not leak inputs on error (#1228)
Close #1225
2023-11-20 10:33:44 +01:00
OlivierDehaene 8acdc1fae7 hotfix 1.1.1 2023-11-16 18:35:09 +01:00
OlivierDehaene 457e72c386 v1.1.1 2023-11-16 13:56:04 +01:00
Omar Sanseviero a5def7c222
Fix link in quantization guide (#1246) 2023-11-08 17:34:38 +01:00
Nicolas Patry 7b5c167487
Update README.md (#1242)
# What does this PR do?

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2023-11-07 10:24:53 +01:00
Nicolas Patry b9184093d9
Narsil patch 1 (#1241)
# What does this PR do?

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2023-11-07 10:13:09 +01:00
Nicolas Patry 414a911b34
Adding the video -> moving the architecture picture lower (#1239)
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2023-11-07 01:01:40 +01:00
OlivierDehaene 96a982ad8f fix: better warmup error 2023-10-25 10:18:58 +02:00
OlivierDehaene f9910d13e2
feat: remove flume (#1184) 2023-10-23 15:51:12 +02:00
OlivierDehaene 12590fdcce
feat: paged attention v2 (#1183) 2023-10-23 12:29:25 +02:00
Aastha Varma 63fa534612
Fix link to quantization page in preparing_model.md (#1187) 2023-10-23 12:12:21 +02:00
OlivierDehaene 5e28f44a83
#1049 CI (#1178)
See #1049

---------

Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
Co-authored-by: Wang, Yi <yi.a.wang@intel.com>
2023-10-20 10:28:45 +02:00
Remy 72b8f88be8
fix: remove useless token (#1179)
This token is not used by your action.
Secret is removed from the repository.
2023-10-19 14:04:44 +02:00
star 648ea06430
fix: EETQLinear with bias in layers.py (#1176) 2023-10-19 12:15:05 +02:00
Mario928 9179605e1e
Fix: Replace view() with reshape() in neox_modeling.py to resolve RuntimeError (#1155) 2023-10-19 11:54:26 +02:00
momonga 7402a355dc
Fix calling cuda() on load_in_8bit (#1153)
This PR addresses an issue where calling `model = model.cuda()` would
throw a ValueError when `quantize` is set to "bitsandbytes".

```
> File "/opt/conda/lib/python3.9/site-packages/text_generation_server/server.py", line 147, in serve_inner
    model = get_model(
  File "/opt/conda/lib/python3.9/site-packages/text_generation_server/models/__init__.py", line 295, in get_model
    return CausalLM(
  File "/opt/conda/lib/python3.9/site-packages/text_generation_server/models/causal_lm.py", line 515, in __init__
    model = model.cuda()
  File "/opt/conda/lib/python3.9/site-packages/transformers/modeling_utils.py", line 1998, in cuda
    raise ValueError(
ValueError: Calling `cuda()` is not supported for `4-bit` or `8-bit` quantized models. Please use the model as it is, since the model has already been set to the correct devices and casted to the correct `dtype`.
```

Co-authored-by: mmnga <mmnga1mmnga@gmail.com>
2023-10-19 10:42:03 +02:00
Mishig 3af1a11401
Fix link in preparing_model.md (#1140)
Fixes a link in doc
2023-10-13 09:48:35 +02:00
OlivierDehaene 20ee71dcf5 fix: force one of max_new_tokens or truncate with slow tokenizer 2023-10-11 10:46:40 +02:00
Omar Sanseviero dd304cf14c
Remove some content from the README in favour of the documentation (#958) 2023-10-09 11:59:06 +02:00
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 e9cdf6225f
Hotfixing idefics base64 parsing. (#1103)
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2023-10-05 13:35:26 +02:00
Nicolas Patry 3c373dcc53
Adding yarn support. (#1099)
# What does this PR do?


Fixes #1017

Not sure if there's a mistake here but 

- NousResearch/Yarn-Llama-2-7b-128k seems to be working fine
- TheBloke/Yarn-Llama-2-13B-128K-GPTQ outputs garbage



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2023-10-05 10:11:50 +02:00
Nicolas Patry 87f43814e3
Fixing GPTQ exllama kernel usage. (#1101)
# What does this PR do?

Fixes #1098 
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2023-10-05 10:11:27 +02:00
Martin Vejvar 0e4ee4f107
fix: type hint typo in tokens.py (#1102)
# What does this PR do?
Fixing a list type hint definition (I believe this was a typo).

Allows backward compatibility with Python 3.8 (relevant for
JetPack-enabled systems).

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2023-10-05 09:33:04 +02:00
Nicolas Patry 6df43da0a4
Modify the default for `max_new_tokens`. (#1097)
# What does this PR do?

Now clients which do not specify a max_length will be implying
`max_new_tokens = max_total_tokens - input_length`.
This is a serious change, but which seems more in line with what users
expect from standing server.

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---------

Co-authored-by: OlivierDehaene <olivier@huggingface.co>
2023-10-04 17:38:42 +02:00
Nicolas Patry 66ce2fa7c1
Receive base64 encoded images for idefics. (#1096)
# What does this PR do?

Fix #1095

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2023-10-04 17:35:29 +02:00
Nicolas Patry 8ec1b87f16
Adding titles to CLI doc. (#1094)
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2023-10-04 12:57:21 +02:00
Fluder-Paradyne b4f68c3cf4
fixed command line arguments in docs (#1092)
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Just removed `--` from the arguments. 
With `--` bitsandbytes and bitsandbytes-nf4 are considered an option
which they are not

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2023-10-03 12:25:45 +02:00
Nicolas Patry 1bebb9e76b
Update idefics_image_processing.py (#1091)
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2023-10-03 12:25:06 +02:00
Nicolas Patry 85acb11ba0
Handling bloom prefix. (#1090)
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2023-10-03 11:55:10 +02:00
Mishig 702d269729
[Doc page] Fix launcher page highlighting (#1080)
### Broken highlighting (current)

<img width="800" alt="Screenshot 2023-09-28 at 22 38 15"
src="https://github.com/huggingface/text-generation-inference/assets/11827707/1f07c356-2c3c-4ff0-8ca5-54a032b05d48">

### Fixed highlighting (this PR)

<img width="800" alt="image"
src="https://github.com/huggingface/text-generation-inference/assets/11827707/87fe750d-c26e-4801-95cc-86859a2df52d">
2023-10-03 11:11:10 +02:00
Leo Tronchon b8fefa6b55
raise exception on invalid images (#999)
# What does this PR do?
This PR is meant to handle cases in which the images provided are
invalid.

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@Narsil

---------

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2023-10-03 10:26:10 +02:00
Peter Lowrance bd998d8797
Fix window_size_left for flash attention v1 (#1089)
This fixes flash attention v1 which was always
NotImplementedError("window_size_left is only available with flash attn
v2").

Currently flash_llama_modeling.py doesn't override the default value of
window_size_left when calling attention(..) (line 282). This means that
window_size_left will always be the default of -1, but flash attention
v1 throws an exception if `window_size_left != 0`.

To fix this, we should be checking `window_size_left != -1` before
throwing the NotImplementedError.


Fixes #1084 


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      to it if that's the case.
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2023-10-02 20:53:14 +02:00
Nicolas Patry 5ba53d44a1
Fixing eetq dockerfile. (#1081)
# What does this PR do?

Fixes #1079 
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Fixes # (issue)


## 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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guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
      Pull Request section?
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Here are the
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2023-09-29 11:19:06 +02:00
Mishig 724199aaf1
Update launcher.md to wrap code blocks (#1076)
Wrap code blocks in `launcher` doc page

using https://github.com/huggingface/doc-builder/pull/420


https://moon-ci-docs.huggingface.co/docs/text-generation-inference/pr_1076/en/basic_tutorials/launcher

<img width="800" alt="image"
src="https://github.com/huggingface/text-generation-inference/assets/11827707/cb240198-411f-4d22-9f6e-8f70f2c6dcab">
2023-09-28 17:30:36 +02:00
Mishig a7808ff853
Fix launcher.md (#1075)
Adding a new line to escape between heading and codeblock. However, it
is a hotfix and I will work on a permanent solution on
https://github.com/huggingface/doc-builder
2023-09-28 15:37:50 +02:00