1. 26 Feb, 2024 1 commit
    • Nicolas Patry's avatar
      Revamp medusa implementation so that every model can benefit. (#1588) · bf700e7e
      Nicolas Patry authored
      # What does this PR do?
      
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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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      [forum](https://discuss.huggingface.co/)? Please add a link
            to it if that's the case.
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      guidelines](https://github.com/huggingface/transformers/tree/main/docs),
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      bf700e7e
  2. 16 Feb, 2024 1 commit
  3. 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
  4. 14 Dec, 2023 1 commit
  5. 11 Dec, 2023 2 commits
  6. 23 Nov, 2023 1 commit
    • Vince Jankovics's avatar
      Fix IDEFICS dtype (#1214) · c6bb7670
      Vince Jankovics authored
      # What does this PR do?
      
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      <!-- Remove if not applicable -->
      
      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](https://github.com/huggingface/text-generation-inference/blob/96a982ad8fc232479384476b1596a880697cc1d0/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
      - [ ] This PR fixes a typo or improves the docs (you can dismiss the
      other checks if that's the case).
      - [x] Did you read the [contributor
      guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
            Pull Request section?
      - [ ] Was this discussed/approved via a Github issue or the
      [forum](https://discuss.huggingface.co/)? Please add a link
            to it if that's the case.
      - [ ] Did you make sure to update the documentation with your changes?
      Here are the
      [documentation
      guidelines](https://github.com/huggingface/transformers/tree/main/docs),
      and
      [here are tips on formatting
      docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation
      
      ).
      - [ ] Did you write any new necessary tests?
      
      
      ## Who can review?
      
      Anyone in the community is free to review the PR once the tests have
      passed. Feel free to tag
      members/contributors who may be interested in your PR.
      
      @Narsil what do you think?
      
      <!-- Your PR will be replied to more quickly if you can figure out the
      right person to tag with @
      
      
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      ---------
      Co-authored-by: default avatarNicolas Patry <patry.nicolas@protonmail.com>
      c6bb7670
  7. 27 Sep, 2023 2 commits
    • OlivierDehaene's avatar
      feat: format code (#1070) · 47954b81
      OlivierDehaene authored
      47954b81
    • Nicolas Patry's avatar
      Remove the stripping of the prefix space (and any other mangling that tokenizers might do). (#1065) · b32e9ce9
      Nicolas Patry authored
      Superseed #1024
      
      
      # What does this PR do?
      
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      <!-- Remove if not applicable -->
      
      Fixes # (issue)
      
      
      ## Before submitting
      - [ ] This PR fixes a typo or improves the docs (you can dismiss the
      other checks if that's the case).
      - [ ] Did you read the [contributor
      guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
            Pull Request section?
      - [ ] Was this discussed/approved via a Github issue or the
      [forum](https://discuss.huggingface.co/)? Please add a link
            to it if that's the case.
      - [ ] Did you make sure to update the documentation with your changes?
      Here are the
      [documentation
      guidelines](https://github.com/huggingface/transformers/tree/main/docs),
      and
      [here are tips on formatting
      docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation
      
      ).
      - [ ] Did you write any new necessary tests?
      
      
      ## Who can review?
      
      Anyone in the community is free to review the PR once the tests have
      passed. Feel free to tag
      members/contributors who may be interested in your PR.
      
      <!-- Your PR will be replied to more quickly if you can figure out the
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      ---------
      Co-authored-by: default avatarbangoz <ch_xie@pku.edu.cn>
      b32e9ce9
  8. 19 Sep, 2023 1 commit
    • Wang, Yi's avatar
      enable bfloat16 for cpu (#1034) · eeaa22ab
      Wang, Yi authored
      if there's no cuda. disable custom kernels
      
      # What does this PR do?
      
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      <!-- Remove if not applicable -->
      
      Fixes # (issue)
      
      
      ## Before submitting
      - [ ] This PR fixes a typo or improves the docs (you can dismiss the
      other checks if that's the case).
      - [ ] Did you read the [contributor
      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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      Here are the
      [documentation
      guidelines](https://github.com/huggingface/transformers/tree/main/docs),
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      docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation
      
      ).
      - [ ] Did you write any new necessary tests?
      
      
      ## Who can review?
      
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      passed. Feel free to tag
      members/contributors who may be interested in your PR.
      
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      Signed-off-by: default avatarWang, Yi A <yi.a.wang@intel.com>
      eeaa22ab
  9. 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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      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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      [forum](https://discuss.huggingface.co/)? Please add a link
            to it if that's the case.
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      Here are the
      [documentation
      guidelines](https://github.com/huggingface/transformers/tree/main/docs),
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      ).
      - [ ] Did you write any new necessary tests?
      
      
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      ---------
      Co-authored-by: default avatarVincent Brouwers <vincent.brouwers@ing.com>
      211b54ac
  10. 17 Aug, 2023 1 commit
    • Nicolas Patry's avatar
      Adding Idefics multi modal model. (#842) · bce5e224
      Nicolas Patry authored
      
      Co-Authored-By: default avatarVictor Sanh <victorsanh@gmail.com>
      
      
      # What does this PR do?
      
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      <!-- Remove if not applicable -->
      
      Fixes # (issue)
      
      
      ## Before submitting
      - [ ] This PR fixes a typo or improves the docs (you can dismiss the
      other checks if that's the case).
      - [ ] Did you read the [contributor
      guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
            Pull Request section?
      - [ ] Was this discussed/approved via a Github issue or the
      [forum](https://discuss.huggingface.co/)? Please add a link
            to it if that's the case.
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      Here are the
      [documentation
      guidelines](https://github.com/huggingface/transformers/tree/main/docs),
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      ).
      - [ ] Did you write any new necessary tests?
      
      
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      ---------
      Co-authored-by: default avatarVictor Sanh <victorsanh@gmail.com>
      bce5e224
  11. 30 Jun, 2023 2 commits
  12. 02 Jun, 2023 1 commit
  13. 01 Jun, 2023 1 commit
  14. 26 May, 2023 1 commit
  15. 24 May, 2023 1 commit
  16. 23 May, 2023 2 commits
  17. 22 May, 2023 1 commit
  18. 16 May, 2023 1 commit
  19. 12 May, 2023 1 commit
    • Nicolas Patry's avatar
      feat(server): GPTQ quantization (step1) (#277) · 76a48cd3
      Nicolas Patry authored
      Changes only the type from `bool` to `Option<Enum>` pretty much
      everywhere.
      - Use `Optional[str]` in Python (easier to manage than importing type
      everywhere). Except for the cli to get proper validation
      - Updated all models to handle gracefully new values. (Error out if
      unknown value, or gptq since not implemented).
      
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      Fixes # (issue)
      
      
      ## 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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      [documentation
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      - [ ] Did you write any new necessary tests?
      
      
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      76a48cd3
  20. 10 May, 2023 2 commits
  21. 03 May, 2023 1 commit
  22. 27 Apr, 2023 2 commits
  23. 24 Apr, 2023 2 commits
  24. 21 Apr, 2023 1 commit
  25. 20 Apr, 2023 1 commit
  26. 12 Apr, 2023 1 commit
  27. 11 Apr, 2023 1 commit
  28. 09 Apr, 2023 1 commit
  29. 24 Mar, 2023 1 commit
  30. 16 Mar, 2023 1 commit
  31. 15 Mar, 2023 1 commit
  32. 08 Mar, 2023 1 commit
  33. 07 Mar, 2023 1 commit