Commit Graph

210 Commits

Author SHA1 Message Date
OlivierDehaene 8aece3bd68
feat: move allocation logic to rust (#1835)
Close #2007
2024-06-05 12:18:38 +02:00
Nicolas Patry 8390e251d9
Making `make install` work better by default. (#2004)
# What does this PR do?

Making `make install` a much better sane default to start local dev
environments.

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2024-06-04 19:38:46 +02:00
OlivierDehaene 757223b352
feat: add SchedulerV3 (#1996)
- Refactor code to allow supporting multiple versions of the
generate.proto at the same time
- Add v3/generate.proto (ISO to generate.proto for now but allow for
future changes without impacting v2 backends)
- Add Schedule trait to abstract queuing and batching mechanisms that
will be different in the future
- Add SchedulerV2/V3 impl
2024-06-04 15:56:56 +02:00
Daniël de Kok df71aafdcc router: send the input as chunks to the backend
Before this change, the generation input was sent to the backend as a
single string, encoding images as Base64 and packing them in
Markdown-style links.

This change adds a new chunked input representation that separates text
chunks from images chunks. Image chunks contain binary data (for smaller
message sizes) and the image's MIME type.

The stringly-typed inputs are still sent to support backends that do not
support chunked inputs yet.
2024-06-03 17:02:41 +02:00
Nicolas Patry 06edde9491
Purely refactors paged/attention into `layers/attention` and make hardware differences more obvious with 1 file per hardware. (#1986)
# What does this PR do?

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2024-05-31 17:57:01 +02:00
Nicolas Patry 612bc483b6
Fixing the text part from tokenizer endpoint. (#1967)
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2024-05-28 16:55:36 +02:00
Nicolas Patry e76b9824ae
Upgrade to Axum 0.7 and Hyper 1.0 (Breaking change: disabled ngrok tunneling). (#1959)
- Axum upgraded to hyper 1.0 and most of the ecosystem switched so it's
our time now
- [ngrok-rust](https://github.com/ngrok/ngrok-rust/pull/137/files)
hasn't yet, and hasn't for several months now, so let's disabled the
feature for the time being.


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2024-05-28 14:52:17 +02:00
drbh 0732b9d2f0
Processor config chat template (#1954)
This PR loads the `processor_config` similar to the `tokenizer_config`
and uses the processor_config's chat_template if the tokenizer_config
does not include one. These changes enable chat with idefics2
2024-05-27 16:03:16 +02:00
Nicolas Patry 954653466d
Improving the logging system. (#1938)
- Added a debug log for speculated ids (helps seeing in logs quality of
  a speculator).
- Remove newlines from child process logs when re-emitting in non JSON
  mode.
- Made standard level be closer to what's expected (only our binaries
  level).
- Propagate that level correctly to the shard (was forced into INFO).


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2024-05-23 15:40:40 +02:00
Thomas Schillaci 629047cb82
Add completion route to client and add stop parameter where it's missing (#1869)
# What does this PR do?

- Add the stop parameter to the completion route
- Add the completion method to the python client
- Add the stop parameter to the python client's chat method


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---------

Co-authored-by: Thomas SCHILLACI <tschilla@px101.prod.exalead.com>
Co-authored-by: Thomas Schillaci <thomas.schillaci@3ds.com>
2024-05-23 09:37:09 -04:00
Nicolas Patry a60fa8406a
Removing some unused code. (#1915)
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2024-05-17 11:35:49 +02:00
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
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
Nicolas Patry 33bc7212af
Fixing truncation. (#1890)
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2024-05-14 18:15:56 +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 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
Nicolas Patry ee47973a2f
Use the generation config. (#1808)
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2024-04-25 19:41:50 +02:00
drbh 0acac5cb7a
feat: improve temperature logic in chat (#1749)
This PR adds support for `do_sample` to chat to enable greedy sampling

---------

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-04-25 15:31:35 +02:00
Nicolas Patry 4c698fa6c2
Adding support for `HF_HUB_OFFLINE` support in the router. (#1789)
# What does this PR do?

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2024-04-23 23:38:30 +02:00
Nicolas Patry bfddfa5955
Idefics2. (#1756)
# What does this PR do?

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2024-04-23 23:04:44 +02:00
drbh 9be1db3101
feat: allow null eos and bos tokens in config (#1791)
This PR resolves an issue loading in tokenizer_configs where the eos or
bos token is null as in:
[Qwen/Qwen1.5-72B-Chat](https://huggingface.co/Qwen/Qwen1.5-72B-Chat/blob/main/tokenizer_config.json)

resolves:
https://github.com/huggingface/text-generation-inference/issues/1545 and
related to https://github.com/QwenLM/Qwen1.5/issues/162
2024-04-23 16:26:54 +02:00
Lucain 455cada527
Add attribute descriptions for `GenerateParameters` (#1798)
Once https://github.com/huggingface/huggingface.js/pull/629 gets merged,
we will rely on TGI's specs to generate jsonschema types for
`text_generation` and `chat_completion`.

This PR adds some documentation for `GenerationParameters`'s properties
so that they get documented in the downstream tools (TGI docs but also
`huggingface.js`/`huggingface_hub` inference clients). I mostly took
inspiration from [the python
client](https://github.com/huggingface/text-generation-inference/blob/main/clients/python/text_generation/types.py)
for the descriptions.
2024-04-23 16:22:12 +02:00
Nicolas Patry f9ee2c41b9
Upgrading all versions. (#1759) 2024-04-18 17:17:40 +02:00
drbh 06c3d4b1ec
feat: accept list as prompt and use first string (#1702)
This PR allows the `CompletionRequest.prompt` to be sent as a string or
array of strings. When an array is sent the first value will be used if
it's a string; otherwise the according error will be thrown

Fixes:
https://github.com/huggingface/text-generation-inference/issues/1690
Similar to: https://github.com/vllm-project/vllm/pull/323/files
2024-04-17 10:41:12 +02:00
Lucain 00f365353e
Update response type for `/v1/chat/completions` and `/v1/completions` (#1747)
`/v1/chat/completions` and `/v1/completions` have different output types
depending on the `stream` parameter. This PR aims at fixing the
inconsistency in the auto-generated
[openapi.json](https://huggingface.github.io/text-generation-inference/openapi.json)
specs.

cc @OlivierDehaene @drbh I reused what had been done for the `/`
endpoint but haven't tested anything myself. Could you confirm this is
the correct way of handling things?

Also, should I update the openapi.json file manually? If yes, how can I
do it?
2024-04-16 19:26:32 +02:00
drbh 7276d43495
feat: improve tools to include name and add tests (#1693)
This PR makes tool calling aware of the name of the function selected. 

Fixes:
https://github.com/huggingface/text-generation-inference/issues/1657

Thank you @puppetm4st3r for the helpful snippets, large parts of this PR
are simply refactors of the code shared 🙏

**opening draft PR because small tweaks are needed before merging
2024-04-16 09:02:46 -04:00
Nicolas Patry 1b2670c823
Improve the defaults for the launcher (#1727)
# What does this PR do?

- Renamed `max_input_length` into `max_input_tokens` for consistency
(backward compatible change, will yell if both are set.)
- Will now use the config for `max_input_tokens` `max_total_token` and
`max_batch_total_tokens`.
- Capping the values to 16k in order to save VRAM on behalf of users
(overriddable by simply setting the values).

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2024-04-12 14:20:31 +02:00
OlivierDehaene c2c98725f8
fix(router): fix a possible deadlock in next_batch (#1731) 2024-04-12 10:59:04 +02:00
Nicolas Patry 842f6658e2 Revert "Easier defaults for models stemmed from configs."
This reverts commit b83aab9bb3.
2024-04-11 12:51:57 +00:00
Nicolas Patry b83aab9bb3 Easier defaults for models stemmed from configs. 2024-04-11 12:48:39 +00:00
OlivierDehaene ad9d6288c8
fix: fix CohereForAI/c4ai-command-r-plus (#1707)
@Narsil @drbh this will update flash attention v2 and vllm.
You will need to re-install them.
2024-04-10 17:20:25 +02:00
Nicolas Patry 4634b00c2a
Adding Llava-Next (Llava 1.6) with full support. (#1709)
# What does this PR do?

- Changed all models to extract `embed_tokens` in order to enable llava
to separately call the embeddings and the core model layers.
- Added VlmCausalLM to inherit from FlashMistral in order to be
maximally supported. The only added logics sits on top and parses images
into pixel values, preallocates input_ids space for the image
embeddings, and passes them for the model.
- Added Clip for the vision tower.
- Didn't add flash for the vision tower since there's no padding anyway.
- Added heuristic (potentially incomplete) to calculate number of
features *before* calculating the clip patches (allows for easier logic
reuse of the LLM under the hood).


Still needs to be done:

- [x] Implement the image parsing in the controller side, to avoid
downloading n times per TP shard and also refusing requests too large
early and avoid issues where the truncation actually truncates the
image.
- [ ] Make sure it works with quantization properly.
- [x] Make sure it works with TP>1



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2024-04-09 21:32:00 +02:00
OlivierDehaene 4ee0a0c401
v1.4.5 (#1686) 2024-03-29 19:17:24 +01:00
drbh 818aee37e5
fix: adjust logprob response logic (#1682)
This PR fixes a bug with `ChatCompletionLogprobs` where if
`top_tokens.len() == 0` empty results were returned.

```bash
 curl http://localhost:3000/v1/chat/completions \
    -X POST \
    -H 'Content-Type: application/json' \
    -d '{
  "model": "tgi",
  "logprobs": true,
  "messages": [
    {
      "role": "user",
      "content": "What is deep learning?"
    }
  ],
  "stream": false,
  "max_tokens": 20
}'
```

response


```json
{"id":"","object":"text_completion","created":1711588522,"model":"google/gemma-2b-it","system_fingerprint":"1.4.4-native","choices":[{"index":0,"message":{"role":"assistant","content":"**Deep learning** is a subset of machine learning (ML) that emphasizes the creation of **artificial"},"logprobs":{"content":[{"token":"**","logprob":-0.22558594,"top_logprobs":[]},{"token":"Deep","logprob":-0.0014877319,"top_logprobs":[]},{"token":" learning","logprob":-0.12695312,"top_logprobs":[]},{"token":"**","logprob":-0.055664062,"top_logprobs":[]},{"token":" is","logprob":-0.00090026855,"top_logprobs":[]},{"token":" a","logprob":-0.006072998,"top_logprobs":[]},{"token":" subset","logprob":-2.25,"top_logprobs":[]},{"token":" of","logprob":-0.00031089783,"top_logprobs":[]},{"token":" machine","logprob":-0.091308594,"top_logprobs":[]},{"token":" learning","logprob":-0.00002348423,"top_logprobs":[]},{"token":" (","logprob":-1.671875,"top_logprobs":[]},{"token":"ML","logprob":-0.00040626526,"top_logprobs":[]},{"token":")","logprob":-0.00016212463,"top_logprobs":[]},{"token":" that","logprob":-0.13769531,"top_logprobs":[]},{"token":" emphasizes","logprob":-4.03125,"top_logprobs":[]},{"token":" the","logprob":-0.2890625,"top_logprobs":[]},{"token":" creation","logprob":-3.109375,"top_logprobs":[]},{"token":" of","logprob":-0.00024032593,"top_logprobs":[]},{"token":" **","logprob":-1.2265625,"top_logprobs":[]},{"token":"artificial","logprob":-0.10546875,"top_logprobs":[]}]},"finish_reason":"length"}],"usage":{"prompt_tokens":15,"completion_tokens":20,"total_tokens":35}}
```
2024-03-28 12:01:46 -04:00
Nicolas Patry f171bdc823
Inline images for multimodal models. (#1666) 2024-03-22 17:14:54 +01:00
drbh de6cb15fa5
fix: improve tool type, bump pydantic and outlines (#1650)
This PR resolves a couple 

- [X] adjusts the tool response to align with openai's tools response
type
- [X] bumps pydantic to `2.6.4` in all apps (resolves dependency issue
when running tests)
- [X] bump `outlines` version and fix import for new name
2024-03-21 12:45:56 -04:00
drbh dfbd9a39a2
feat: bump minijina and add test for core templates (#1626)
This PR bumps `minijinja` and adds tests for all core models as
identified by @xenova 🙏

Inspiration:
https://github.com/huggingface/huggingface.js/blob/main/packages/jinja/test/e2e.test.js

TODO:
- [X] add new test to iterate over known templates
- [X] add default templates
- [x] add custom templates
2024-03-20 09:13:46 -04:00
Lucain 23fba672e8
Fix index in ChatCompletionChunk (#1648)
Fix a small inconsistency compared the OpenAI's chat-completion behavior
(introduced in
https://github.com/huggingface/text-generation-inference/pull/1427 cc
@drbh). When using `stream=True`, each chunk has an `index` value in
`ChatCompletionChoice`. This index is not meant to be the index of the
generated token but the index of the choice, which is always 0 (since
TGI always return a single choice).

See https://platform.openai.com/docs/api-reference/chat/object:
> index _integer_
> The index of the choice in the list of choices.

---

So instead of 

```js
data:{"id":"","object":"text_completion","created":1710508199,"model":"HuggingFaceH4/zephyr-7b-beta","system_fingerprint":"1.4.3-sha-e6bb3ff","choices":[{"index":1,"delta":{"role":"assistant","content":"I"},"logprobs":null,"finish_reason":null}]}
data:{"id":"","object":"text_completion","created":1710508199,"model":"HuggingFaceH4/zephyr-7b-beta","system_fingerprint":"1.4.3-sha-e6bb3ff","choices":[{"index":2,"delta":{"role":"assistant","content":"'"},"logprobs":null,"finish_reason":null}]}
data:{"id":"","object":"text_completion","created":1710508199,"model":"HuggingFaceH4/zephyr-7b-beta","system_fingerprint":"1.4.3-sha-e6bb3ff","choices":[{"index":3,"delta":{"role":"assistant","content":"m"},"logprobs":null,"finish_reason":"length"}]}
```

if should return
```js
data:{"id":"","object":"text_completion","created":1710508199,"model":"HuggingFaceH4/zephyr-7b-beta","system_fingerprint":"1.4.3-sha-e6bb3ff","choices":[{"index":0,"delta":{"role":"assistant","content":"I"},"logprobs":null,"finish_reason":null}]}
data:{"id":"","object":"text_completion","created":1710508199,"model":"HuggingFaceH4/zephyr-7b-beta","system_fingerprint":"1.4.3-sha-e6bb3ff","choices":[{"index":0,"delta":{"role":"assistant","content":"'"},"logprobs":null,"finish_reason":null}]}
data:{"id":"","object":"text_completion","created":1710508199,"model":"HuggingFaceH4/zephyr-7b-beta","system_fingerprint":"1.4.3-sha-e6bb3ff","choices":[{"index":0,"delta":{"role":"assistant","content":"m"},"logprobs":null,"finish_reason":"length"}]}
```

**EDIT:** I also edited ToolCall.index to be always `0` (instead of the
generated token index) but for this one I'm actually unsure. It might be
the index of the tool in the array of tools? OpenAI's documentation
doesn't provide any information about it:
> index _integer_

---

I also noticed that in OpenAI's example, the last chunk doesn't have a
delta and is the only one that has a `finish_reason` returning. TGI is
slightly different since the last chunk has both the last delta (i.e.
the last generated token) + the finish reason. I don't think this is
worth fixing since it is not a requirement according to the docs/specs
(at least not that I know of).
2024-03-16 12:14:29 -04:00
drbh 7e08751378
fix: add missing stop parameter for chat request (#1619)
This PR adds the missing `stop` parameter to the `ChatRequest` struct
which allows calls to specify a list of stop sequences
2024-03-01 12:08:11 -05:00
drbh 3dd7da2198
feat: accept legacy request format and response (#1527)
This WIP PR (will) add support for legacy OpenAI `v1/completions` API.

This should allow TGI to be a drop in replacement for OpenAI when using
tools that rely on the completions api

Should fix:
https://github.com/huggingface/text-generation-inference/issues/1468
2024-02-29 10:44:20 -05:00
Nicolas Patry 910d0a9062
Fixing x-compute-time. (#1606)
# What does this PR do?

It was meant to be in seconds float
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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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2024-02-28 11:30:37 +01:00
drbh 9b6db5f793
Support tools (#1587)
This work in progress PR begins to add support for tools. Tools relies
on grammar support and still has some unsolved challenges. Opening the
PR for visibility and feedback
2024-02-28 11:10:27 +01:00
drbh ac5a1c6f51
fix: avoid default message (#1579)
This PR avoids setting a default message in order to avoid unexpected
generations
2024-02-22 08:56:42 -05:00
OlivierDehaene 010508cec8
fix: fix openapi schema (#1586) 2024-02-21 15:30:45 +01:00
OlivierDehaene 9c1cb81cd8
v1.4.2 (#1585) 2024-02-21 14:50:57 +01:00