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Author SHA1 Message Date
Wang, Yi f41d644a90
reenable xpu for tgi (#1939)
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Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
2024-05-23 14:11:08 +02:00
drbh a103e3e9e2
feat: add train medusa head tutorial (#1934)
This PR adds a tutorial to self distill and train medusa heads for a
specific model

---------

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-05-23 11:34:18 +02:00
drbh efb73fcb59
fix: use path inside of speculator config (#1935)
This PR access the path on the speculator similar to
`MLPSpeculatorHead.load` and `MedusaHeadV1.load`


these changes resolves this error locally when loading a `MedusaHeadV2`
```
TypeError: expected str, bytes or os.PathLike object, not dict
```
2024-05-22 20:46:29 +02:00
Nicolas Patry 2f243a1a15
Creating doc automatically for supported models. (#1929)
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2024-05-22 16:22:57 +02:00
drbh fc0eaffc81
feat: include token in client test like server tests (#1932)
This PR simply includes the HF token in the client tests similar to how
it's included in the server tests. This helps avoid CI failure due to
rate limiting
2024-05-22 09:58:26 +02:00
Junlin Zhou 904ff36917
docs: Fix grafana dashboard url (#1925)
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Fixes an incorrect url in monitoring doc.

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2024-05-21 13:12:14 -04:00
fxmarty 293b8125e7
ROCm: make CK FA2 default instead of Triton (#1924)
As per title.

Triton autotune overhead is prohibitive, as it needs to be done for each
different prompt length.
2024-05-20 08:44:48 +08:00
Nicolas Patry f871f114ca
Fixing the download strategy for ibm-fms (#1917)
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2024-05-18 13:31:24 +02:00
fxmarty 5dad0c0b29
Fix TGI issues with ROCm (#1921)
Not all models were tested in
https://github.com/huggingface/text-generation-inference/pull/1764.

Fixing some more issues (notably starcoder2) here, the full CI will come
shortly once we split `build.yml` in two
2024-05-18 01:50:52 +08:00
fxmarty b5f1c9de06
Fix TunableOp bug (#1920)
cc @Narsil
2024-05-17 18:21:51 +02:00
fxmarty 422bf1f986
Update grafana template (#1918)
As per title, there was a mistake

credit to @Narsil 

updated
https://huggingface.co/docs/text-generation-inference/basic_tutorials/monitoring
as well

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-05-17 17:37:23 +02:00
fxmarty c4cf8b49d1
Add TGI monitoring guide through Grafana and Prometheus (#1908)
As per title. It is very useful.
2024-05-17 10:34:44 -04:00
fxmarty 232e8d5227
MI300 compatibility (#1764)
Adds support for AMD Instinct MI300 in TGI.

Most changes are:
* Support PyTorch TunableOp to pick the GEMM/GEMV kernels for decoding
https://github.com/pytorch/pytorch/tree/main/aten/src/ATen/cuda/tunable.
TunableOp is disabled by default, and can be enabled with
`PYTORCH_TUNABLEOP_ENABLED=1`.
* Update ROCm dockerfile to PyTorch 2.3 (actually patched with changes
from https://github.com/pytorch/pytorch/pull/124362)
* Support SILU & Linear custom kernels contributed by AMD
* Update vLLM paged attention to https://github.com/fxmarty/rocm-vllm/,
branching out of a much more recent commit
3489ce7936
* Support FA2 Triton kernel as recommended by AMD. Can be used by
specifying `ROCM_USE_FLASH_ATTN_V2_TRITON=1`.
* Update dockerfile to ROCm 6.1

By default, TunableOp tuning results are saved in `/data` (e.g.
`/data/tunableop_meta-llama-Llama-2-70b-chat-hf_tp1_rank0.csv`) in order
to avoid to have to rerun the tuning at each `docker run`.

Example:
```
Validator,PT_VERSION,2.3.0
Validator,ROCM_VERSION,6.1.0.0-82-5fabb4c
Validator,HIPBLASLT_VERSION,0.7.0-1549b021
Validator,GCN_ARCH_NAME,gfx942:sramecc+:xnack-
Validator,ROCBLAS_VERSION,4.1.0-cefa4a9b-dirty
GemmTunableOp_Half_TN,tn_8192_7_28672,Gemm_Rocblas_45475,0.132098
GemmTunableOp_Half_TN,tn_10240_4_8192,Gemm_Rocblas_45546,0.0484431
GemmTunableOp_Half_TN,tn_32000_6_8192,Default,0.149546
GemmTunableOp_Half_TN,tn_32000_3_8192,Gemm_Rocblas_45520,0.147119
GemmTunableOp_Half_TN,tn_8192_3_28672,Gemm_Rocblas_45475,0.132645
GemmTunableOp_Half_TN,tn_10240_3_8192,Gemm_Rocblas_45546,0.0482971
GemmTunableOp_Half_TN,tn_57344_5_8192,Gemm_Rocblas_45520,0.255694
GemmTunableOp_Half_TN,tn_10240_7_8192,Gemm_Rocblas_45517,0.0482522
GemmTunableOp_Half_TN,tn_8192_3_8192,Gemm_Rocblas_45546,0.0444671
GemmTunableOp_Half_TN,tn_8192_5_8192,Gemm_Rocblas_45546,0.0445834
GemmTunableOp_Half_TN,tn_57344_7_8192,Gemm_Rocblas_45520,0.25622
GemmTunableOp_Half_TN,tn_8192_2_28672,Gemm_Rocblas_45475,0.132122
GemmTunableOp_Half_TN,tn_8192_4_8192,Gemm_Rocblas_45517,0.0453191
GemmTunableOp_Half_TN,tn_10240_5_8192,Gemm_Rocblas_45517,0.0482514
GemmTunableOp_Half_TN,tn_8192_5_28672,Gemm_Rocblas_45542,0.133914
GemmTunableOp_Half_TN,tn_8192_2_8192,Gemm_Rocblas_45517,0.0446516
GemmTunableOp_Half_TN,tn_8192_1_28672,Gemm_Hipblaslt_TN_10814,0.131953
GemmTunableOp_Half_TN,tn_10240_2_8192,Gemm_Rocblas_45546,0.0481043
GemmTunableOp_Half_TN,tn_32000_4_8192,Gemm_Rocblas_45520,0.147497
GemmTunableOp_Half_TN,tn_8192_6_28672,Gemm_Rocblas_45529,0.134895
GemmTunableOp_Half_TN,tn_57344_2_8192,Gemm_Rocblas_45520,0.254716
GemmTunableOp_Half_TN,tn_57344_4_8192,Gemm_Rocblas_45520,0.255731
GemmTunableOp_Half_TN,tn_10240_6_8192,Gemm_Rocblas_45517,0.0484816
GemmTunableOp_Half_TN,tn_57344_3_8192,Gemm_Rocblas_45520,0.254701
GemmTunableOp_Half_TN,tn_8192_4_28672,Gemm_Rocblas_45475,0.132159
GemmTunableOp_Half_TN,tn_32000_2_8192,Default,0.147524
GemmTunableOp_Half_TN,tn_32000_5_8192,Default,0.147074
GemmTunableOp_Half_TN,tn_8192_6_8192,Gemm_Rocblas_45546,0.0454045
GemmTunableOp_Half_TN,tn_57344_6_8192,Gemm_Rocblas_45520,0.255582
GemmTunableOp_Half_TN,tn_32000_7_8192,Default,0.146705
GemmTunableOp_Half_TN,tn_8192_7_8192,Gemm_Rocblas_45546,0.0445489
```

---------

Co-authored-by: Mohit Sharma <mohit21sharma.ms@gmail.com>
2024-05-17 15:30:47 +02:00
Nicolas Patry a60fa8406a
Removing some unused code. (#1915)
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2024-05-17 11:35:49 +02:00
Nicolas Patry 3b5d93e68d
Fixing signals. (#1910)
Taking the signal handles later, so during loads,
regular signal handling is done, we only need to handle SIGINT and
SIGTERM during real loads to get more graceful shutdowns when queries
are in flight.

Fixes #1842 


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2024-05-16 15:40:10 -04:00
Nicolas Patry b3dd3902e7
Types. (#1909)
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2024-05-16 17:21:00 +02:00
Nicolas Patry f5d43414c2
Fixing types. (#1906)
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2024-05-16 10:59:05 -04:00
phangiabao98 d8402eaf67
OpenAI function calling compatible support (#1888)
# What does this PR do?

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Fixes # (issue)
https://github.com/huggingface/text-generation-inference/issues/1887

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---------

Co-authored-by: Bao Phan <baopg@inter-k.com>
2024-05-16 10:17:00 +02:00
drbh 40213c957f
Pali gemma modeling (#1895)
This PR adds paligemma modeling code

Blog post: https://huggingface.co/blog/paligemma
Transformers PR: https://github.com/huggingface/transformers/pull/30814

install the latest changes and run with
```bash
# get the weights
# text-generation-server download-weights gv-hf/PaliGemma-base-224px-hf

# run TGI
text-generation-launcher --model-id gv-hf/PaliGemma-base-224px-hf
```


basic example sending various requests
```python
from huggingface_hub import InferenceClient

client = InferenceClient("http://127.0.0.1:3000")


images = [
    "https://huggingface.co/datasets/hf-internal-testing/fixtures-captioning/resolve/main/cow_beach_1.png",
    "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/rabbit.png",
]

prompts = [
    "What animal is in this image?",
    "Name three colors in this image.",
    "What are 10 colors in this image?",
    "Where is the cow standing?",
    "answer en Where is the cow standing?",
    "Is there a bird in the image?",
    "Is ther a cow in the image?",
    "Is there a rabbit in the image?",
    "how many birds are in the image?",
    "how many rabbits are in the image?",
]

for img in images:
    print(f"\nImage: {img.split('/')[-1]}")
    for prompt in prompts:
        inputs = f"![]({img}){prompt}\n"
        json_data = {
            "inputs": inputs,
            "parameters": {
                "max_new_tokens": 30,
                "do_sample": False,
            },
        }
        generated_output = client.text_generation(prompt, max_new_tokens=30, stream=False)
        print([f"{prompt}\n{generated_output}"])

```

---------

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-05-16 06:58:47 +02:00
Dhruv Srikanth 6c715f8183
[Bug Fix] Update torch import reference in bnb quantization (#1902)
# What does this PR do?

Fixes `Import Error` occurring from mismatch of usage between
torch.nn.Module and nn.Module.
2024-05-15 21:08:32 +02:00
drbh a69ef52cf6
feat: add deprecation warning to clients (#1855)
This PR adds a deprecation warning to the clients and points users to
the https://github.com/huggingface/huggingface_hub
2024-05-15 15:40:07 +02:00
Nicolas Patry a70b087e71
Removing accepted ids in the regular info logs, downgrade to debug. (#1898)
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2024-05-15 13:56:07 +02:00
Daniël de Kok b5bc6e5c4e
Add GPT-2 with flash attention (#1889)
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This change adds `FlashGPT2ForCausalLM` and wires it up. The model
itself is pretty straightforward, the main difference from other models
is that it uses trained position embeddings and that all weight matrices
are transposed compared to other models (due to the use of Conv1D in the
upstream model).


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2024-05-15 13:31:22 +02:00
Brandon Lockaby 92f1338b84
Correct 'using guidance' link (#1892)
Fix typo in link to 'using guidance' article
2024-05-14 14:23:39 -04:00
Nicolas Patry 33bc7212af
Fixing truncation. (#1890)
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2024-05-14 18:15:56 +02:00
Nicolas Patry e3d765645a
MLPSpeculator. (#1865)
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---------

Co-authored-by: Joshua Rosenkranz <joshua.rosenkranz@gmail.com>
2024-05-14 12:33:18 +02:00
Nilabhra Roy Chowdhury 3136f27f36
Add: Support for the Falcon2 11B architecture (#1886)
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Add's support for the Falcon2 11B model architecture.


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---------

Signed-off-by: Raphael Glon <oOraph@users.noreply.github.com>
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
Co-authored-by: OlivierDehaene <olivier@huggingface.co>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: oOraph <13552058+oOraph@users.noreply.github.com>
Co-authored-by: Raphael Glon <oOraph@users.noreply.github.com>
Co-authored-by: Julien Chaumond <julien@huggingface.co>
Co-authored-by: OlivierDehaene <23298448+OlivierDehaene@users.noreply.github.com>
Co-authored-by: abhishek thakur <1183441+abhishekkrthakur@users.noreply.github.com>
Co-authored-by: Dong Shin <d0104.shin@gmail.com>
Co-authored-by: Christof Weickhardt <christof@weickhardt.ch>
Co-authored-by: Ikko Eltociear Ashimine <eltociear@gmail.com>
Co-authored-by: drbh <david.richard.holtz@gmail.com>
Co-authored-by: Lucain <lucain@huggingface.co>
Co-authored-by: fxmarty <9808326+fxmarty@users.noreply.github.com>
Co-authored-by: Moritz Laurer <41862082+MoritzLaurer@users.noreply.github.com>
Co-authored-by: dr3s <dr3s@users.noreply.github.com>
Co-authored-by: Wang, Yi <yi.a.wang@intel.com>
Co-authored-by: Morgan Funtowicz <funtowiczmo@gmail.com>
Co-authored-by: Maziyar Panahi <maziyar.panahi@iscpif.fr>
Co-authored-by: Brandon Royal <2762697+brandonroyal@users.noreply.github.com>
Co-authored-by: Mishig <mishig.davaadorj@coloradocollege.edu>
Co-authored-by: Martin Iglesias Goyanes <martinigoyanes@hotmail.com>
Co-authored-by: martini <martin.iglesiasgoyanes@adyen.com>
2024-05-14 10:06:02 +02:00
Nicolas Patry d348d2b28f
Granite support? (#1882)
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2024-05-13 13:46:29 +02:00
Nicolas Patry fd89d9dfae
Refactor layers. (#1866)
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2024-05-13 12:44:30 +02:00
Wang, Yi 59b3ffea14
update xpu docker image and use public ipex whel (#1860)
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Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
2024-05-06 16:05:43 +02:00
Nicolas Patry ac7076b64d
Upgrading to rust 1.78. (#1851)
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2024-05-06 13:48:11 +02:00
Lucain bb2b2959a2
Add router name to /info endpoint (#1854)
Add `router` key in `/info` endpoint and set it to
`env!("CARGO_PKG_NAME")` => so always set to `"text-generation-router"`
in TGI. Happy to change the naming if you think of a better one
(framework? package_name?)

The goal is to use this information in `InferenceClient` to know the
model is served with TGI. At the moment we can use
https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.2/info
to infer it is TGI-served because it returns information but having a
proper key would be better.


For context, a transformers-served model is only outputting `{"ok":
"ok"}` (see
[here](https://api-inference.huggingface.co/models/microsoft/DialoGPT-large/info)).
2024-05-03 10:39:04 -04:00
Nicolas Patry a25737139d
Updating Phi3 (long context). (#1849)
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2024-05-02 19:07:10 +02:00
drbh 65539b743e
feat: prefer huggingface_hub in docs and show image api (#1844)
This PR prefers the `huggingface_hub` library, refactors the grammar
docs and adds the new image_url api to the vlm docs.
2024-05-02 16:56:24 +02:00
Nicolas Patry de079d607a
Remove misleading warning (not that important nowadays anyway). (#1848)
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2024-05-02 15:09:46 +02:00
Nicolas Patry 0038e6020f
Adding scripts to prepare load data. (#1841)
# What does this PR do?

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2024-05-01 21:48:06 +02:00
Nicolas Patry 27b3a2c9fc
Fix: "Fixing" double BOS for mistral too. (#1843)
# What does this PR do?

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2024-05-01 18:21:17 +02:00
drbh 6073ece4fc
fix: split docs and start conceptual page (#1836)
This PR improves the guidance docs and adds a section that explains how
grammars are applied on a technical level
2024-05-01 09:03:25 +02:00
Nicolas Patry dccab72549
(chore): torch 2.3.0 (#1833)
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2024-04-30 18:15:35 +02:00
OlivierDehaene b4ef038837
chore: update torch (#1730)
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-04-30 14:04:28 +02:00
drbh c99ecd77ec
Handle images in chat api (#1828)
This PR allows for messages to be formatted as simple strings, or as an
array of objects including image urls. This is done by formatting
content arrays into a simple string.

Example using `llava-hf/llava-v1.6-mistral-7b-hf` 

```bash
curl localhost: 3000/v1/chat/completions \
-X POST \
-H 'Content-Type: application/json' \
-d '{
    "model": "tgi",
    "messages": [
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "Whats in this image?"
                },
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/rabbit.png"
                    }
                }
            ]
        }
    ],
    "stream": false,
    "max_tokens": 20,
    "seed": 42
}'
```

is equivlant to this more simple request

```bash
curl localhost: 3000/v1/chat/completions \
-X POST \
-H 'Content-Type: application/json' \
-d '{
    "model": "tgi",
    "messages": [
        {
            "role": "user",
            "content": "Whats in this image?\n![](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/rabbit.png)"
        }
    ],
    "stream": false,
    "max_tokens": 20,
    "seed": 42
}'
```

output
```
# {"id":"","object":"text_completion","created":1714406985,"model":"llava-hf/llava-v1.6-mistral-7b-hf","system_fingerprint":"2.0.1-native","choices":[{"index":0,"message":{"role":"assistant","content":" This is an illustration of an anthropomorphic rabbit in a spacesuit, standing on what"},"logprobs":null,"finish_reason":"length"}],"usage":{"prompt_tokens":2945,"completion_tokens":20,"total_tokens":2965}}%
```

---------

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-04-30 12:18:32 +02:00
drbh b2c982750a
feat: add vlm docs and simple examples (#1812)
This PR start to add documentation for visual language models
2024-04-30 12:14:39 +02:00
Martin Iglesias Goyanes 9192de57cc
Fixing frequency penalty (#1811)
Thank you so much for the work you are doing, this is my little
contribution to this great thing you have built. I hope it is useful and
helpful, please don't hesitate to discuss any matters that are not
clear!

I am basing my implementation of frequency penalty on OpenAI's
implementation:
https://platform.openai.com/docs/guides/text-generation/parameter-details

The problem I see with TGI's current implementation is that is not
taking into account the frequency of tokens which have already been
sampled in the current generation stream. Also, the scaling is of the
adjusted token logits is done differently for positive and negative
logits. While in OpenAI's implementation token frequency is taking into
account and the scaling is always done with a subtraction (if penalty is
positive) or add operation (if penalty is negative).

This leads to corrupt generations as I mentioned in issue #1810 .
Moreover, after my tests, other issues are also gone like the one about
some request's with ``penalty_frequency = 1.0`` overruling other
requests (with ``frequency_penalty = 0.0``) in the same batch and
therefore corrupting all generations in the batch. Basically, padding
does not affect this implementation so I believe this ``score *=
input_ids.ne(0)`` is not needed anymore.



Frequency penalty | -1.0 | 0.0 | 1.0
-- | -- | -- | --
Before my change | https://paste.mozilla.org/JxqGJkWY |
https://paste.mozilla.org/hrztJ56h | https://paste.mozilla.org/pBSEH2zw
After my change | https://paste.mozilla.org/7gXCi7zo |
https://paste.mozilla.org/ZR9rJ92g | https://paste.mozilla.org/gHaD2YnC

---------

Co-authored-by: martini <martin.iglesiasgoyanes@adyen.com>
2024-04-30 12:13:23 +02:00
drbh f6615080b9
feat: add how it works section (#1773)
This PR adds a short "how it works" section to guidance and includes a
mention to the outlines library that enables grammars/tools


*and a small formatting change

---------

Co-authored-by: Mishig <mishig.davaadorj@coloradocollege.edu>
2024-04-30 11:45:49 +02:00
OlivierDehaene 8332fc4908
fix: use get_speculate to the number of layers (#1737) 2024-04-30 11:45:26 +02:00
Brandon Royal 743ecbca3a
Add reference to TPU support (#1760)
# What does this PR do?
This PR makes a small addition to the readme that reference new TGI
support for TPUs via Optimum TPU
(https://huggingface.co/docs/optimum-tpu/howto/serving)
2024-04-30 11:39:52 +02:00
Nicolas Patry 04d4765bad
Small CI cleanup. (#1801)
# What does this PR do?

Just unifying some branches and making intentions clearer (no cuda graph
when 0 all the way in the launcher)

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2024-04-30 11:39:38 +02:00
Maziyar Panahi 51ee60da74
Add the missing `tool_prompt` parameter to Python client (#1825)
# What does this PR do?

This PR adds the missing `tool_prompt` parameter in Python client
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2024-04-30 11:07:17 +02:00
Nicolas Patry f75c1a5b26 Prepare release. 2024-04-30 10:52:37 +02:00
Nicolas Patry eade737714
Better graceful shutdown. (#1827)
# What does this PR do?

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2024-04-29 17:23:40 +02:00