1. 16 Feb, 2024 1 commit
  2. 26 Jan, 2024 1 commit
  3. 15 Dec, 2023 1 commit
  4. 27 Nov, 2023 1 commit
    • fxmarty's avatar
      Add RoCm support (#1243) · b2b5df0e
      fxmarty authored
      
      
      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: default avatarFelix Marty <felix@hf.co>
      Co-authored-by: default avatarOlivierDehaene <olivier@huggingface.co>
      Co-authored-by: default avatarYour Name <you@example.com>
      b2b5df0e
  5. 23 Nov, 2023 1 commit
  6. 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
  7. 29 Aug, 2023 1 commit
    • Nicolas Patry's avatar
      New release. (#941) · 5485c142
      Nicolas Patry authored
      # What does this PR do?
      
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      5485c142
  8. 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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      ---------
      Co-authored-by: default avatarVictor Sanh <victorsanh@gmail.com>
      bce5e224
  9. 11 Aug, 2023 1 commit
    • Nicolas Patry's avatar
      Upgrade transformers (fix protobuf==3.20 issue) (#795) · cc7bb508
      Nicolas Patry authored
      # What does this PR do?
      
      Fixes #531
      
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      cc7bb508
  10. 03 Aug, 2023 3 commits
    • Nicolas Patry's avatar
      Merge BNB 4bit. (#770) · 16fadcec
      Nicolas Patry authored
      # What does this PR do?
      
      
      See #626 
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      ---------
      Co-authored-by: default avatarkrzim <zimmerk4@live.com>
      16fadcec
    • Nicolas Patry's avatar
      This should prevent the PyTorch overriding. (#767) · 6ec5288a
      Nicolas Patry authored
      # What does this PR do?
      
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      6ec5288a
    • Nicolas Patry's avatar
      feat(server): Add native support for PEFT Lora models (#762) · ac736fd8
      Nicolas Patry authored
      - Will detect `peft` model by finding `adapter_config.json`.
      - This triggers a totally dedicated `download-weights` path
      - This path, loads the adapter config, finds the base model_id
      - It loads the base_model
      - Then peft_model
      - Then `merge_and_unload()`
      - Then `save_pretrained(.., safe_serialization=True)
      - Add back the config + tokenizer.merge_and_unload()`
      - Then `save_pretrained(.., safe_serialization=True)
      - Add back the config + tokenizer.
      - The chosen location is a **local folder with the name of the user
        chosen model id**
      
      PROs:
      
      - Easier than to expect user to merge manually
      - Barely any change outside of `download-weights` command.
      - This means everything will work in a single load.
      - Should enable out of the box SM + HFE
      
      CONs:
      
      - Creates a local merged model in unusual location, potentially
        not saved across docker reloads, or ovewriting some files if the PEFT
        itself was local and containing other files in addition to the lora
      
      Alternatives considered:
      - Add `local_files_only=True` every where (discard because of massive
        code change for not a good enough reason)
      - Return something to `launcher` about the new model-id (a cleaner
        location for this new model), but it would
        introduce new communication somewhere where we didn't need it before.
      - Using the HF cache folder and *stopping* the flow after
        `download-weights` and asking user to restart with the actual local
        model location
      
      
      Fix #482 
      
      
      # What does this PR do?
      
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      ac736fd8
  11. 27 Jul, 2023 2 commits
  12. 04 Jul, 2023 1 commit
  13. 03 Jul, 2023 1 commit
  14. 26 Jun, 2023 1 commit
    • Nicolas Patry's avatar
      feat(server): Add inference support for GPTQ (llama + falcon tested) + Quantization script (#438) · aefde28b
      Nicolas Patry authored
      Let's start discussing implementation.
      
      - Need to expose the quantization scripts (either included here or add
      doc on how to use https://github.com/qwopqwop200/GPTQ-for-LLaMa)
      - Make sure GPTQ works for multiple models (priority to Falcon).
      
      Currently it means that every place we use `get_{tensor|sharded}` to
      check for quantization.
      
      My idea is to reintegrate as much as possible into `utils/layer.py` by
      expanding `load_multi` to be a bit more generic.
      This might require some thinking, but ultimately the
      `qweight,qzeros,scales,g_idx` should be in a single place, and
      independant of bias presence.
      
      # What does this PR do?
      
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      ---------
      Co-authored-by: default avatarUbuntu <ubuntu@ip-172-31-41-161.ec2.internal>
      Co-authored-by: default avatarOlivierDehaene <olivier@huggingface.co>
      aefde28b
  15. 08 Jun, 2023 1 commit
  16. 23 May, 2023 1 commit
  17. 25 Apr, 2023 1 commit
  18. 24 Apr, 2023 1 commit
  19. 19 Apr, 2023 1 commit
  20. 16 Apr, 2023 1 commit