1. 31 May, 2024 1 commit
    • Nicolas Patry's avatar
      Purely refactors paged/attention into `layers/attention` and make hardware... · 06edde94
      Nicolas Patry authored
      Purely refactors paged/attention into `layers/attention` and make hardware differences more obvious with 1 file per hardware. (#1986)
      
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      06edde94
  2. 30 May, 2024 1 commit
    • Daniël de Kok's avatar
      Add support for exl2 quantization · 36dd1601
      Daniël de Kok authored
      Mostly straightforward, changes to existing code:
      
      * Wrap quantizer parameters in a small wrapper to avoid passing
        around untyped tuples and needing to repack them as a dict.
      * Move scratch space computation to warmup, because we need the
        maximum input sequence length to avoid allocating huge
        scratch buffers that OOM.
      36dd1601
  3. 29 May, 2024 1 commit
    • drbh's avatar
      feat: adjust attn weight loading logic (#1975) · cbced7f0
      drbh authored
      This PR updates `load_attention` to prefer loading specific attention
      based on the model type. Additionally there were two cases where
      `TensorParallelColumnLinear.load_multi` was called and this reduces it
      to a single path
      cbced7f0
  4. 27 May, 2024 2 commits
  5. 24 May, 2024 2 commits
    • Nicolas Patry's avatar
      Fix seeded output. (#1949) · d32e33bd
      Nicolas Patry authored
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      d32e33bd
    • Nicolas Patry's avatar
      Fixing codellama loads by using purely `AutoTokenizer`. (#1947) · cff472ba
      Nicolas Patry authored
      - The need for the slow tokenizer default stems from back
        when llama 1 was introduced and all the flags where not
        supported in `tokenizers`.
      
      - Fixes #1891
      
      
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      cff472ba
  6. 23 May, 2024 3 commits
    • Nicolas Patry's avatar
      Improving the logging system. (#1938) · 95465346
      Nicolas Patry authored
      - 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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      95465346
    • Nicolas Patry's avatar
      Fixing some legacy behavior (big swapout of serverless on legacy stuff). (#1937) · f4a073ae
      Nicolas Patry authored
      # What does this PR do?
      
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      ---------
      Co-authored-by: default avatarDaniël de Kok <me@github.danieldk.eu>
      f4a073ae
    • Wang, Yi's avatar
      reenable xpu for tgi (#1939) · f41d644a
      Wang, Yi authored
      # What does this PR do?
      
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      Signed-off-by: default avatarWang, Yi A <yi.a.wang@intel.com>
      f41d644a
  7. 22 May, 2024 2 commits
    • drbh's avatar
      fix: use path inside of speculator config (#1935) · efb73fcb
      drbh authored
      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
      ```
      efb73fcb
    • Nicolas Patry's avatar
      Creating doc automatically for supported models. (#1929) · 2f243a1a
      Nicolas Patry authored
      # What does this PR do?
      
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      2f243a1a
  8. 18 May, 2024 1 commit
    • Nicolas Patry's avatar
      Fixing the download strategy for ibm-fms (#1917) · f871f114
      Nicolas Patry authored
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      f871f114
  9. 17 May, 2024 4 commits
    • fxmarty's avatar
      Fix TGI issues with ROCm (#1921) · 5dad0c0b
      fxmarty authored
      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
      5dad0c0b
    • fxmarty's avatar
      Fix TunableOp bug (#1920) · b5f1c9de
      fxmarty authored
      cc @Narsil
      b5f1c9de
    • fxmarty's avatar
      MI300 compatibility (#1764) · 232e8d52
      fxmarty authored
      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
      https://github.com/ROCm/vllm/commit/3489ce7936c5de588916ae3047c44c23c0b0c308
      
      
      * 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: default avatarMohit Sharma <mohit21sharma.ms@gmail.com>
      232e8d52
    • Nicolas Patry's avatar
      Removing some unused code. (#1915) · a60fa840
      Nicolas Patry authored
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      a60fa840
  10. 16 May, 2024 2 commits
    • Nicolas Patry's avatar
      Fixing signals. (#1910) · 3b5d93e6
      Nicolas Patry authored
      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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      3b5d93e6
    • drbh's avatar
      Pali gemma modeling (#1895) · 40213c95
      drbh authored
      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: default avatarNicolas Patry <patry.nicolas@protonmail.com>
      40213c95
  11. 15 May, 2024 3 commits
    • Dhruv Srikanth's avatar
      [Bug Fix] Update torch import reference in bnb quantization (#1902) · 6c715f81
      Dhruv Srikanth authored
      # What does this PR do?
      
      Fixes `Import Error` occurring from mismatch of usage between
      torch.nn.Module and nn.Module.
      6c715f81
    • Nicolas Patry's avatar
      Removing accepted ids in the regular info logs, downgrade to debug. (#1898) · a70b087e
      Nicolas Patry authored
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      a70b087e
    • Daniël de Kok's avatar
      Add GPT-2 with flash attention (#1889) · b5bc6e5c
      Daniël de Kok authored
      # What does this PR do?
      
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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).
      
      
      <!-- Remove if not applicable -->
      
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      [documentation
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      b5bc6e5c
  12. 14 May, 2024 2 commits
  13. 13 May, 2024 2 commits
    • Nicolas Patry's avatar
      Granite support? (#1882) · d348d2b2
      Nicolas Patry authored
      # What does this PR do?
      
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      d348d2b2
    • Nicolas Patry's avatar
      Refactor layers. (#1866) · fd89d9df
      Nicolas Patry authored
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      fd89d9df
  14. 02 May, 2024 2 commits
    • Nicolas Patry's avatar
      Updating Phi3 (long context). (#1849) · a2573713
      Nicolas Patry authored
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      a2573713
    • Nicolas Patry's avatar
      Remove misleading warning (not that important nowadays anyway). (#1848) · de079d60
      Nicolas Patry authored
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      de079d60
  15. 01 May, 2024 1 commit
    • Nicolas Patry's avatar
      Fix: "Fixing" double BOS for mistral too. (#1843) · 27b3a2c9
      Nicolas Patry authored
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      27b3a2c9
  16. 30 Apr, 2024 5 commits
    • Nicolas Patry's avatar
      (chore): torch 2.3.0 (#1833) · dccab725
      Nicolas Patry authored
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      dccab725
    • OlivierDehaene's avatar
      chore: update torch (#1730) · b4ef0388
      OlivierDehaene authored
      
      Co-authored-by: default avatarNicolas Patry <patry.nicolas@protonmail.com>
      b4ef0388
    • Martin Iglesias Goyanes's avatar
      Fixing frequency penalty (#1811) · 9192de57
      Martin Iglesias Goyanes authored
      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: default avatarmartini <martin.iglesiasgoyanes@adyen.com>
      9192de57
    • OlivierDehaene's avatar
      8332fc49
    • Nicolas Patry's avatar
      Small CI cleanup. (#1801) · 04d4765b
      Nicolas Patry authored
      # 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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      04d4765b
  17. 29 Apr, 2024 1 commit
    • Nicolas Patry's avatar
      Better graceful shutdown. (#1827) · eade7377
      Nicolas Patry authored
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      eade7377
  18. 26 Apr, 2024 4 commits
    • Nicolas Patry's avatar
      Dummy CI run. (#1817) · e9f03f82
      Nicolas Patry authored
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      e9f03f82
    • Nicolas Patry's avatar
      Fixing qwen2. (#1818) · 8b8e8f66
      Nicolas Patry authored
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      8b8e8f66
    • Nicolas Patry's avatar
      Blunder (#1815) · a8fd4236
      Nicolas Patry authored
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      a8fd4236
    • Wang, Yi's avatar
      add intel xpu support for TGI (#1475) · 45ecf9d0
      Wang, Yi authored
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      ---------
      Signed-off-by: default avatarWang, Yi A <yi.a.wang@intel.com>
      Co-authored-by: default avatarMorgan Funtowicz <funtowiczmo@gmail.com>
      Co-authored-by: default avatarNicolas Patry <patry.nicolas@protonmail.com>
      45ecf9d0
  19. 25 Apr, 2024 1 commit
    • Nicolas Patry's avatar
      Use the generation config. (#1808) · ee47973a
      Nicolas Patry authored
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