Commit Graph

220 Commits

Author SHA1 Message Date
fxmarty 650fea1834
GPTQ support on ROCm (#1489)
Tested with
```
CUDA_VISIBLE_DEVICES=0 text-generation-launcher --model-id TheBloke/Llama-2-7B-Chat-GPTQ --quantize gptq
EXLLAMA_VERSION=1 CUDA_VISIBLE_DEVICES=0 text-generation-launcher --model-id TheBloke/Llama-2-7B-Chat-GPTQ --quantize gptq
CUDA_VISIBLE_DEVICES="0,1" text-generation-launcher --model-id TheBloke/Llama-2-7B-Chat-GPTQ --quantize gptq
```

all with good and identical results on MI210.

---------

Co-authored-by: Felix Marty <felix@hf.co>
Co-authored-by: OlivierDehaene <olivier@huggingface.co>
Co-authored-by: OlivierDehaene <23298448+OlivierDehaene@users.noreply.github.com>
2024-01-26 16:27:44 +01:00
Nicolas Patry ac49972752
Add sealion mpt support (#1477)
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Co-authored-by: Choon Meng Tan <choonmeng@aisingapore.org>
Co-authored-by: David Ong Tat-Wee <13075447+ongtw@users.noreply.github.com>
2024-01-26 14:05:02 +01:00
Nicolas Patry b95732180d
Reinstate exl2 with tp (#1490)
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2024-01-26 14:00:29 +01:00
drbh 7e2a7433d3
feat: adds phi model (#1442)
This PR adds basic modeling for phi-2 

run
```bash
text-generation-server \
    serve \
    microsoft/phi-2 \
    --revision 834565c23f9b28b96ccbeabe614dd906b6db551a
```


test
```bash
curl -s localhost:3000/generate \
   -X POST \
   -d '{"inputs":"What is Deep Learning?","parameters":{"max_new_tokens":20}}' \
   -H 'Content-Type: application/json' | jq .
# {
#   "generated_text": "\nDeep learning is a subset of machine learning that uses artificial neural networks to learn from data. These"
# }
```



notes 
- recently (~1 day ago) the Phi weights and model were updated to
accommodate adding [GQA/MQA attention to the
model.](https://github.com/huggingface/transformers/pull/28163) This
impl expects the original model format so a fixed revision is required
at the moment.
- this PR only includes a basic implementation of the model and can
later be extended for support Flash and Sharded versions as well as make
use of better optimization
2024-01-25 15:37:53 +01:00
Nicolas Patry 7e542d4d05
Fixing non divisible embeddings. (#1476)
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2024-01-24 13:08:41 +01:00
PYNing da27fbdfdb
Fix local load for Medusa (#1420)
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Close #1418 
Close #1415

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2024-01-10 18:36:20 +01:00
R. P. Ruiz 91d7267534
Fix missing make target platform for local install: 'install-flash-attention-v2' (#1414) 2024-01-09 16:19:31 +01:00
OlivierDehaene 564f2a3b75
fix: fix local loading for .bin models (#1419) 2024-01-09 15:21:00 +01:00
OlivierDehaene 630800eed3 v1.3.4 2023-12-22 15:46:04 +01:00
Nicolas Patry 529d7c2591
Fix local load for peft (#1373)
local directory overloaded still needs the directory to locate the
weights files correctly.

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2023-12-21 17:29:23 +01:00
OlivierDehaene 564199bab3
feat: update exllamav2 kernels (#1370)
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2023-12-21 17:25:22 +01:00
Nicolas Patry eb8923a97e
Peft safetensors. (#1364)
Works by removing adapter_model.safetensors from being detected as the
core model file (which skips the real peft detection).

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2023-12-20 15:37:14 +01:00
OlivierDehaene d077150eb7
fix: fix gpt-q with groupsize = -1 (#1358) 2023-12-18 16:07:05 +01:00
OlivierDehaene 8428ed1011
fix: fix offline (#1341) (#1347)
@oOraph

---------

Signed-off-by: Raphael Glon <oOraph@users.noreply.github.com>
Co-authored-by: Raphael Glon <oOraph@users.noreply.github.com>
2023-12-18 10:20:08 +01:00
OlivierDehaene 1b1bfa49b0
fix: fix logic if sliding window key is not present in config (#1352) 2023-12-15 14:56:17 +01:00
OlivierDehaene 9b56d3fbf5
feat: relax mistral requirements (#1351)
Close #1253 
Close #1279
2023-12-15 12:52:24 +01:00
OlivierDehaene 37555cf4e8
fix: max_past default value must be -1, not 0 (#1348) 2023-12-15 01:18:39 +01:00
OlivierDehaene 9b78a6eee3 fix: only keep stop sequence buffer if we have some 2023-12-14 17:04:58 +01:00
OlivierDehaene 80a69204c1 fix: slice stopping criteria buffer 2023-12-14 17:01:43 +01:00
OlivierDehaene 083c2de9f8 fix: fix quant linear autotune 2023-12-14 16:45:47 +01:00
OlivierDehaene 773aabdda6 fix: fix triton OutOfResources import 2023-12-14 16:04:26 +01:00
OlivierDehaene 50b495f3d8
feat: add more latency metrics in forward (#1346) 2023-12-14 15:59:38 +01:00
OlivierDehaene 44b267ab22 fix: fix gpt-q params loading 2023-12-14 11:02:16 +01:00
OlivierDehaene 82670d9786
feat: add quant to mixtral (#1337) 2023-12-12 17:55:03 +01:00
OlivierDehaene ec6d4592d5 v1.3.1 2023-12-11 16:46:44 +01:00
OlivierDehaene 72ee382ded chore: formatting 2023-12-11 14:49:52 +01:00
OlivierDehaene 3a521c92b3
feat: mixtral (#1328) 2023-12-11 14:43:40 +01:00
Nicolas Patry 9ecfa16b12
Speculative (#1308) 2023-12-11 12:46:30 +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
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
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
```

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Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2023-11-23 15:00:09 +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 


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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
OlivierDehaene 96a982ad8f fix: better warmup error 2023-10-25 10:18:58 +02:00
OlivierDehaene 12590fdcce
feat: paged attention v2 (#1183) 2023-10-23 12:29:25 +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
Nicolas Patry e9cdf6225f
Hotfixing idefics base64 parsing. (#1103)
# What does this PR do?

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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 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 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
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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---------

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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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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2023-09-29 11:19:06 +02:00
OlivierDehaene 3b56d7669b
feat: add mistral model (#1071) 2023-09-28 09:55:47 +02:00