1. 23 Apr, 2024 1 commit
    • Nicolas Patry's avatar
      Idefics2. (#1756) · bfddfa59
      Nicolas Patry authored
      # What does this PR do?
      
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      ## Before submitting
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      bfddfa59
  2. 12 Apr, 2024 1 commit
    • Nicolas Patry's avatar
      Improve the defaults for the launcher (#1727) · 1b2670c8
      Nicolas Patry authored
      # 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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      1b2670c8
  3. 09 Apr, 2024 1 commit
    • Nicolas Patry's avatar
      Adding Llava-Next (Llava 1.6) with full support. (#1709) · 4634b00c
      Nicolas Patry authored
      # 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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      4634b00c
  4. 22 Mar, 2024 1 commit
  5. 21 Feb, 2024 1 commit
  6. 16 Feb, 2024 1 commit
  7. 15 Feb, 2024 1 commit
    • drbh's avatar
      Outlines guided generation (#1539) · cef0553d
      drbh authored
      This WIP PR starts to add grammar support via outlines, currently this
      PR supports very simple regex grammars and does not optimize for
      precompiling or caching grammar fsm's.
      
      todo:
      - [X] add simple outlines guidance to `NextTokenChooser`
      - [X] update protos for grammar
      - [X] update generation params API
      - [X] constrain simple grammar
      - [ ] support parsing more complex grammar into fsm
      - [ ] support all outline support grammar types
      - [ ] explore optimizations to avoid recompiling grammars
      
      guided request
      ```bash
      curl -s 'http://localhost:3000/generate' \
      --header 'Content-Type: application/json' \
      --data-raw '{
          "inputs": "make an email for david: \n",
          "parameters": {
              "max_new_tokens": 6,
              "grammar": "[\\w-]+@([\\w-]+\\.)+[\\w-]+"
          }
      }' | jq
      ```
      response
      ```json
      {
        "generated_text": "david@example.com"
      }
      ```
      
      unguided request
      ```bash
      curl -s 'http://localhost:3000/generate' \
      --header 'Content-Type: application/json' \
      --data '{
          "inputs": "make an email for david: \n",
          "parameters": {
              "max_new_tokens": 6
          }
      }' | jq
      ```
      response
      ```json
      {
        "generated_text": "    email = 'david"
      }
      ```
      cef0553d
  8. 08 Feb, 2024 1 commit
  9. 25 Jan, 2024 1 commit
    • Nicolas Patry's avatar
      Add a new `/tokenize` route to get the tokenized input (#1471) · 86c8335f
      Nicolas Patry authored
      # What does this PR do?
      
      
      Ideally this is done client side, but this is a recurring request,
      therefore we implemented it.
      
      - Runs only if rust tokenizer is present (not encumbering the main
      inference pipeline is important).
      - Returns simple results, ID, text (gotten with offsets from the
      original string) and offsets (so users can do things like highlighting
      text).
      
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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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      [forum](https://discuss.huggingface.co/)? Please add a link
            to it if that's the case.
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      86c8335f
  10. 16 Jan, 2024 1 commit
    • drbh's avatar
      feat: supports openai chat completions API (#1427) · 0eabc835
      drbh authored
      This PR adds support to make TGI a drop in replacement for OpenAI
      clients by exposing the same HTTP interface.
      
      Notes
      - TGI inits a single model at startup so the `model` field is unused in
      HTTP requests.
      - `max_tokens` and `stream` should work as expected but other params may
      be (unimplemented or not supported)
      
      General approach
      - fetch the `tokenizer_config` at startup from the hub
      - pass `tokenizer_config` into `Infer` so we have it at request time
      - use the `chat_template` on the config to format chat request
      - parse jinja template and render chat string
      - pass inputs into existing generate function
      - wrap generation output in expected structure before returning
      
      # How to test
      
      ### Streaming curl
      ```bash
      curl localhost:3000/v1/chat/completions \
          -X POST \
          -d '{
        "model": "tgi",
        "messages": [
          {
            "role": "system",
            "content": "You are a helpful assistant."
          },
          {
            "role": "user",
            "content": "What is deep learning?"
          }
        ],
        "stream": true,
        "max_tokens": 20
      }' \
          -H 'Content-Type: application/json'
      ```
      
      
      It is also possible to use the `openai` python library and change the
      base url
      
      ###  🌊 STREAMING REQUEST
      ```python
      from openai import OpenAI
      
      # init the client but point it to TGI
      client = OpenAI(
          base_url="http://localhost:3000/v1",
          api_key="not needed for a local LLM"
      )
      
      chat_completion = client.chat.completions.create(
          model="tgi",
          messages=[
              {"role": "system", "content": "You are a helpful assistant." },
              {"role": "user", "content": "What is deep learning?"}
          ],
          stream=True
      )
      
      # iterate and print stream
      for message in chat_completion:
          print(message)
      
      # ChatCompletionChunk(id='', choices=[Choice(delta=ChoiceDelta(content=' that', function_call=None, role='assistant', tool_calls=None), finish_reason=None, index=2, logprobs=None)], created=1704486761, model='', object='text_completion', system_fingerprint='')
      ```
      
      ### 🚗 SYNCHRONOUS REQUEST
      ```python
      from openai import OpenAI
      
      # init the client but point it to TGI
      client = OpenAI(
          base_url="http://localhost:3000/v1",
          api_key="not needed for a local LLM"
      )
      
      chat_completion = client.chat.completions.create(
          model="tgi",
          messages=[
              {"role": "system", "content": "You are a helpful assistant." },
              {"role": "user", "content": "What is deep learning?"}
          ],
          stream=False
      )
      
      print(chat_completion)
      # ChatCompletion(id='', choices=[Choice(finish_reason=None, index=0, logprobs=None, message=ChatCompletionMessage(content='\nDeep learning is a new field of research that has been gaining traction in the last ...', role='assistant', function_call=None, tool_calls=None))], created=1704486762, model='', object='text_completion', system_fingerprint='', usage=CompletionUsage(completion_tokens=100, prompt_tokens=76, total_tokens=176))
      ```
      
      
      ## How to run dev
      
      ```bash
      cd text-generation-inference/server
      MASTER_ADDR=127.0.0.1 MASTER_PORT=5555 text-generation-server serve --trust-remote-code gpt2
      ```
      
      ***note many of the existing `chat_templates` use non standard `jinja`
      (ie. adding a `raise` to the template) which will throw an error when
      parsing; hence using `upstage/SOLAR-10.7B-Instruct-v1.0` since it has a
      valid template
      ```bash
      cd text-generation-inference/router
      cargo run -- --tokenizer-name upstage/SOLAR-10.7B-Instruct-v1.0
      ```
      
      trigger
      ```bash
      curl localhost:3000/v1/chat/completions \
          -X POST \
          -d '{ "model": "gpt-3.5-turbo", "messages": [ { "role": "system", "content": "You are a helpful assistant." }, { "role": "user", "content": "What is the IP address of the Google DNS servers?" } ], "stream": true, "max_tokens": 20, "logprobs": true }' \
          -H 'Content-Type: application/json'
      ```
      
      ^ supports `stream: true` and `stream: false` requests
      0eabc835
  11. 18 Dec, 2023 1 commit
  12. 14 Dec, 2023 1 commit
  13. 20 Nov, 2023 1 commit
  14. 23 Oct, 2023 1 commit
  15. 20 Oct, 2023 1 commit
  16. 11 Oct, 2023 1 commit
  17. 04 Oct, 2023 1 commit
    • Nicolas Patry's avatar
      Modify the default for `max_new_tokens`. (#1097) · 6df43da0
      Nicolas Patry authored
      # 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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      6df43da0
  18. 27 Sep, 2023 1 commit
    • Nicolas Patry's avatar
      Preping 1.1.0 (#1066) · a0498642
      Nicolas Patry authored
      # What does this PR do?
      
      Upgrade all relevant versions and dependencies.
      
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      a0498642
  19. 28 Aug, 2023 1 commit
    • Nicolas Patry's avatar
      Rebased #617 (#868) · 211b54ac
      Nicolas Patry authored
      # What does this PR do?
      
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      ## Before submitting
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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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      [forum](https://discuss.huggingface.co/)? Please add a link
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      ).
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      ---------
      Co-authored-by: default avatarVincent Brouwers <vincent.brouwers@ing.com>
      211b54ac
  20. 14 Aug, 2023 1 commit
    • Nicolas Patry's avatar
      Fix `tokenizers==0.13.4` . (#838) · 05dd14fd
      Nicolas Patry authored
      # What does this PR do?
      
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      guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
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