v3.1.1

What's Changed

• Back on nix main. by @Narsil in #2979
• hotfix: fix trtllm CI build on release by @Hugoch in #2981
• Add strftime_now callable function for minijinja chat templates by @alvarobartt in #2983
• impureWithCuda: fix gcc version by @danieldk in #2990
• Improve qwen vl impl by @drbh in #2943
• Using the "lockfile". by @Narsil in #2992
• Triton fix by @sywangyi in #2995
• [Backend] Bump TRTLLM to v.0.17.0 by @mfuntowicz in #2991
• Updating mllama after strftime. by @Narsil in #2993
• Use kernels from the kernel hub by @danieldk in #2988
• fix Qwen VL break in intel platform by @sywangyi in #3002
• Update the flaky mllama test. by @Narsil in #3015
• Preventing single user hugging the server to death by asking by @Narsil in #3016
• Putting back the NCCL forced upgrade. by @Narsil in #2999
• Support sigmoid scoring function in GPTQ-MoE by @danieldk in #3017
• [Backend] Add Llamacpp backend by @angt in #2975
• Use eetq kernel from the hub by @danieldk in #3029
• Update README.md by @celsowm in #3024
• Add loop_controls feature to minijinja to handle {% break %} by @alvarobartt in #2998
• Pinning trufflehog. by @Narsil in #3032
• It's find in some machine. using hf_hub::api::sync::Api to download c… by @Narsil in #3030
• Improve Transformers support by @Cyrilvallez in #2970
• feat: add initial qwen2.5-vl model and test by @drbh in #2971
• Using public external registry (to use external runners for CI). by @Narsil in #3031
• Having less logs in case of failure for checking CI more easily. by @Narsil in #3037
• feat: Add the parsing of HF_HUB_USER_AGENT_ORIGIN environment variable for telemetry by @Hugoch in #3027
• update ipex and torch to 2.6 for cpu by @sywangyi in #3039
• flashinfer 0.2.0.post1 -> post2 by @danieldk in #3040
• fix qwen2 vl crash in continous batching by @sywangyi in #3004
• Simplify logs2. by @Narsil in #3045
• Update Gradio ChatInterface configuration in consuming_tgi.md by @angt in #3042
• Improve tool call message processing by @drbh in #3036
• Use rotary kernel from the Hub by @danieldk in #3041
• Add Neuron backend by @dacorvo in #3033
• You need to seek apparently. by @Narsil in #3049
• some minor fix by @sywangyi in #3048
• fix: run linters and fix formatting by @drbh in #3057
• Avoid running neuron integration tests twice by @dacorvo in #3054
• Add Gaudi Backend by @baptistecolle in #3055
• Fix two edge cases in RadixTrie::find by @danieldk in #3067
• Add property-based testing for RadixAllocator by @danieldk in #3068
• feat: add support for HF_HUB_USER_AGENT_ORIGIN to add user-agent Origin field in Hub requests. by @Hugoch in #3061
• Preparing for release. by @Narsil in #3060
• Fix a tiny typo in monitoring.md tutorial by @sadra-barikbin in #3056
• Patch rust release. by @Narsil in #3069

New Contributors

• @angt made their first contribution in #2975
• @celsowm made their first contribution in #3024
• @dacorvo made their first contribution in #3033
• @sadra-barikbin made their first contribution in #3056

Full Changelog: v3.1.0...v3.1.1

v3.1.0

Important changes

Deepseek R1 is fully supported on both AMD and Nvidia !

docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data \
    ghcr.io/huggingface/text-generation-inference:3.1.0 --model-id deepseek-ai/DeepSeek-R1

What's Changed

• Attempt to remove AWS S3 flaky cache for sccache by @mfuntowicz in #2953
• Update to attention-kernels 0.2.0 by @danieldk in #2950
• fix: Telemetry by @Hugoch in #2957
• Fixing the oom maybe with 2.5.1 change. by @Narsil in #2958
• Add backend name to telemetry by @Hugoch in #2962
• Add fp8 support moe models by @mht-sharma in #2928
• Update to moe-kernels 0.8.0 by @danieldk in #2966
• Hotfixing intel-cpu (not sure how it was working before). by @Narsil in #2967
• Add deepseekv3 by @Narsil in #2968
• doc: Update TRTLLM deployment doc. by @Hugoch in #2960
• Update moe-kernel to 0.8.2 for rocm by @mht-sharma in #2977
• Prepare for release 3.1.0 by @Narsil in #2972

Full Changelog: v3.0.2...v3.1.0

v3.0.2

Tl;dr

New transformers backend supporting flashattention at roughly same performance as pure TGI for all non officially supported models directly in TGI. Congrats @Cyrilvallez

New models unlocked: Cohere2, olmo, olmo2, helium.

What's Changed

• docs(README): supported hardware links TGI AMD GPUs by @guspan-tanadi in #2814
• Fixing latest flavor by disabling it. by @Narsil in #2831
• fix facebook/opt-125m not working issue by @sywangyi in #2824
• Fixup opt to reduce the amount of odd if statements. by @Narsil in #2833
• TensorRT-LLM backend bump to latest version + misc fixes by @mfuntowicz in #2791
• Feat/trtllm cancellation dev container by @Hugoch in #2795
• New arg. by @Narsil in #2845
• Fixing CI. by @Narsil in #2846
• fix: lint backend and doc files by @drbh in #2850
• Qwen2-VL runtime error fix when prompted with multiple images by @janne-alatalo in #2840
• Update vllm kernels for ROCM by @mht-sharma in #2826
• change xpu lib download link by @sywangyi in #2852
• fix: include add_special_tokens in kserve request by @drbh in #2859
• chore: fixed some typos and attribute issues in README by @ruidazeng in #2891
• update ipex xpu to fix issue in ARC770 by @sywangyi in #2884
• Basic flashinfer 0.2 support by @danieldk in #2862
• Improve vlm support (add idefics3 support) by @drbh in #2437
• Update to marlin-kernels 0.3.7 by @danieldk in #2882
• chore: Update jsonschema to 0.28.0 by @Stranger6667 in #2870
• Add possible variants for A100 and H100 GPUs for auto-detecting flops by @lazariv in #2837
• Update using_guidance.md by @nbroad1881 in #2901
• fix crash in torch2.6 if TP=1 by @sywangyi in #2885
• Add Flash decoding kernel ROCm by @mht-sharma in #2855
• Enable FP8 Per-Tensor Scales and Integrate Marlin/MoE Kernels Repo for ROCm by @mht-sharma in #2825
• Baichuan2-13B does not have max_position_embeddings in config by @sywangyi in #2903
• docs(conceptual/speculation): available links Train Medusa by @guspan-tanadi in #2863
• Fix docker run in README.md by @alvarobartt in #2861
• 📝 add guide on using TPU with TGI in the docs by @baptistecolle in #2907
• Upgrading our rustc version. by @Narsil in #2908
• Fix typo in TPU docs by @baptistecolle in #2911
• Removing the github runner. by @Narsil in #2912
• Upgrading bitsandbytes. by @Narsil in #2910
• Do not convert weight scale to e4m3fnuz on CUDA by @danieldk in #2917
• feat: improve star coder to support multi lora layers by @drbh in #2883
• Flash decoding kernel adding and prefill-chunking and prefix caching enabling in intel cpu/xpu by @sywangyi in #2815
• nix: update to PyTorch 2.5.1 by @danieldk in #2921
• Moving to uv instead of poetry. by @Narsil in #2919
• Add fp8 kv cache for ROCm by @mht-sharma in #2856
• fix the crash of meta-llama/Llama-3.2-1B by @sywangyi in #2918
• feat: improve qwen2-vl startup by @drbh in #2802
• Revert "feat: improve qwen2-vl startup " by @drbh in #2924
• flashinfer: switch to plan API by @danieldk in #2904
• Fixing TRTLLM dockerfile. by @Narsil in #2922
• Flash Transformers modeling backend support by @Cyrilvallez in #2913
• Give TensorRT-LLMa proper CI/CD 😍 by @mfuntowicz in #2886
• Trying to avoid the random timeout. by @Narsil in #2929
• Run pre-commit run --all-files to fix CI by @alvarobartt in #2933
• Upgrading the deps to have transformers==4.48.0 necessary by @Narsil in #2937
• fix moe in quantization path by @sywangyi in #2935
• Clarify FP8-Marlin use on capability 8.9 by @danieldk in #2940
• Bump TensorRT-LLM backend dependency to v0.16.0 by @mfuntowicz in #2931
• Set alias for max_completion_tokens in ChatRequest by @alvarobartt in #2932
• Add NVIDIA A40 to known cards by @kldzj in #2941
• [TRTLLM] Expose finish reason by @mfuntowicz in #2841
• Tmp tp transformers by @Narsil in #2942
• Transformers backend TP fix by @Cyrilvallez in #2945
• Trying to put back the archlist (to fix the oom). by @Narsil in #2947

New Contributors

• @janne-alatalo made their first contribution in #2840
• @ruidazeng made their first contribution in #2891
• @Stranger6667 made their first contribution in #2870
• @lazariv made their first contribution in #2837
• @baptistecolle made their first contribution in #2907
• @Cyrilvallez made their first contribution in #2913
• @kldzj made their first contribution in #2941

Full Changelog: v3.0.1...v3.0.2

v3.0.1

Summary

Patch release to handle a few older models and corner cases.

What's Changed

• Hotfix link2 by @Narsil in #2812
• Small update to docs by @Narsil in #2816
• Using both value from config as they might not be correct. by @Narsil in #2817
• Update README.md by @RodriMora in #2827
• Prepare patch release. by @Narsil in #2829

New Contributors

• @RodriMora made their first contribution in #2827

Full Changelog: v3.0.0...v3.0.1

v3.0.0

TL;DR

Big new release

Details: https://huggingface.co/docs/text-generation-inference/conceptual/chunking

What's Changed

• feat: concat the adapter id to the model id in chat response by @drbh in #2779
• Move JSON grammar -> regex grammar conversion to the router by @danieldk in #2772
• Use FP8 KV cache when specified by compressed-tensors by @danieldk in #2761
• upgrade ipex cpu to fix coredump in tiiuae/falcon-7b-instruct (pageat… by @sywangyi in #2778
• Fix: docs typo by @jp1924 in #2777
• Support continue final message by @drbh in #2733
• Fix doc. by @Narsil in #2792
• Removing ../ that broke the link by @Getty in #2789
• fix: add merge-lora arg for model id by @drbh in #2788
• fix: only use eos_token_id as pad_token_id if int by @dvrogozh in #2774
• Sync (most) server dependencies with Nix by @danieldk in #2782
• Saving some VRAM. by @Narsil in #2790
• fix: avoid setting use_sgmv if no kernels present by @drbh in #2796
• use oneapi 2024 docker image directly for xpu by @sywangyi in #2793
• feat: auto max_new_tokens by @OlivierDehaene in #2803
• Auto max prefill by @Narsil in #2797
• Adding A100 compute. by @Narsil in #2806
• Enable paligemma2 by @drbh in #2807
• Attempt for cleverer auto batch_prefill values (some simplifications). by @Narsil in #2808
• V3 doc by @Narsil in #2809
• Prep new version by @Narsil in #2810
• Hotfixing the link. by @Narsil in #2811

New Contributors

• @jp1924 made their first contribution in #2777
• @Getty made their first contribution in #2789

Full Changelog: v2.4.1...v3.0.0

v2.4.1

Notable changes

• Choose input/total tokens automatically based on available VRAM
• Support Qwen2 VL
• Decrease latency of very large batches (> 128)

What's Changed

• feat: add triton kernels to decrease latency of large batches by @OlivierDehaene in #2687
• Avoiding timeout for bloom tests. by @Narsil in #2693
• Green main by @Narsil in #2697
• Choosing input/total tokens automatically based on available VRAM? by @Narsil in #2673
• We can have a tokenizer anywhere. by @Narsil in #2527
• Update poetry lock. by @Narsil in #2698
• Fixing auto bloom test. by @Narsil in #2699
• More timeout on docker start ? by @Narsil in #2701
• Monkey patching as a desperate measure. by @Narsil in #2704
• add xpu triton in dockerfile, or will show "Could not import Flash At… by @sywangyi in #2702
• Support qwen2 vl by @drbh in #2689
• fix cuda graphs for qwen2-vl by @drbh in #2708
• fix: create position ids for text only input by @drbh in #2714
• fix: add chat_tokenize endpoint to api docs by @drbh in #2710
• Hotfixing auto length (warmup max_s was wrong). by @Narsil in #2716
• Fix prefix caching + speculative decoding by @tgaddair in #2711
• Fixing linting on main. by @Narsil in #2719
• nix: move to tgi-nix main by @danieldk in #2718
• fix incorrect output of Qwen2-7B-Instruct-GPTQ-Int4 and Qwen2-7B-Inst… by @sywangyi in #2717
• add trust_remote_code in tokenizer to fix baichuan issue by @sywangyi in #2725
• Add initial support for compressed-tensors checkpoints by @danieldk in #2732
• nix: update nixpkgs by @danieldk in #2746
• benchmark: fix prefill throughput by @danieldk in #2741
• Fix: Change model_type from ssm to mamba by @mokeddembillel in #2740
• Fix: Change embeddings to embedding by @mokeddembillel in #2738
• fix response type of document for Text Generation Inference by @jitokim in #2743
• Upgrade outlines to 0.1.1 by @aW3st in #2742
• Upgrading our deps. by @Narsil in #2750
• feat: return streaming errors as an event formatted for openai's client by @drbh in #2668
• Remove vLLM dependency for CUDA by @danieldk in #2751
• fix: improve find_segments via numpy diff by @drbh in #2686
• add ipex moe implementation to support Mixtral and PhiMoe by @sywangyi in #2707
• Add support for compressed-tensors w8a8 int checkpoints by @danieldk in #2745
• feat: support flash attention 2 in qwen2 vl vision blocks by @drbh in #2721
• Simplify two ipex conditions by @danieldk in #2755
• Update to moe-kernels 0.7.0 by @danieldk in #2720
• PR 2634 CI - Fix the tool_choice format for named choice by adapting OpenAIs scheme by @drbh in #2645
• fix: adjust llama MLP name from dense to mlp to correctly apply lora by @drbh in #2760
• nix: update for outlines 0.1.4 by @danieldk in #2764
• Add support for wNa16 int 2:4 compressed-tensors checkpoints by @danieldk in #2758
• nix: build and cache impure devshells by @danieldk in #2765
• fix: set outlines version to 0.1.3 to avoid caching serialization issue by @drbh in #2766
• nix: downgrade to outlines 0.1.3 by @danieldk in #2768
• fix: incomplete generations w/ single tokens generations and models that did not support chunking by @OlivierDehaene in #2770
• fix: tweak grammar test response by @drbh in #2769
• Add a README section about using Nix by @danieldk in #2767
• Remove guideline from API by @Wauplin in #2762
• feat: Add automatic nightly benchmarks by @Hugoch in #2591
• feat: add payload limit by @OlivierDehaene in #2726
• Update to marlin-kernels 0.3.6 by @danieldk in #2771
• chore: prepare 2.4.1 release by @OlivierDehaene in #2773

New Contributors

• @tgaddair made their first contribution in #2711
• @mokeddembillel made their first contribution in #2740
• @jitokim made their first contribution in #2743

Full Changelog: v2.3.0...v2.4.1

v2.4.0

Notable changes

• Experimental prefill chunking (PREFILL_CHUNKING=1)
• Experimental FP8 KV cache support
• Greatly decrease latency for large batches (> 128 requests)
• Faster MoE kernels and support for GPTQ-quantized MoE
• Faster implementation of MLLama

What's Changed

• nix: remove unused _server.nix file by @danieldk in #2538
• chore: Add old V2 backend by @OlivierDehaene in #2551
• Remove duplicated RUN in Dockerfile by @alvarobartt in #2547
• Micro cleanup. by @Narsil in #2555
• Hotfixing main by @Narsil in #2556
• Add support for scalar FP8 weight scales by @danieldk in #2550
• Add DenseMoELayer and wire it up in Mixtral/Deepseek V2 by @danieldk in #2537
• Update the link to the Ratatui organization by @orhun in #2546
• Simplify crossterm imports by @orhun in #2545
• Adding note for private models in quick-tour document by @ariG23498 in #2548
• Hotfixing main. by @Narsil in #2562
• Cleanup Vertex + Chat by @Narsil in #2553
• More tensor cores. by @Narsil in #2558
• remove LORA_ADAPTERS_PATH by @nbroad1881 in #2563
• Add LoRA adapters support for Gemma2 by @alvarobartt in #2567
• Fix build with --features google by @alvarobartt in #2566
• Improve support for GPUs with capability < 8 by @danieldk in #2575
• flashinfer: pass window size and dtype by @danieldk in #2574
• Remove compute capability lazy cell by @danieldk in #2580
• Update architecture.md by @ulhaqi12 in #2577
• Update ROCM libs and improvements by @mht-sharma in #2579
• Add support for GPTQ-quantized MoE models using MoE Marlin by @danieldk in #2557
• feat: support phi3.5 moe by @drbh in #2479
• Move flake back to tgi-nix main by @danieldk in #2586
• MoE Marlin: support desc_act for groupsize != -1 by @danieldk in #2590
• nix: experimental support for building a Docker container by @danieldk in #2470
• Mllama flash version by @Narsil in #2585
• Max token capacity metric by @Narsil in #2595
• CI (2592): Allow LoRA adapter revision in server launcher by @drbh in #2602
• Unroll notify error into generate response by @drbh in #2597
• New release 2.3.1 by @Narsil in #2604
• Revert "Unroll notify error into generate response" by @drbh in #2605
• nix: example of local package overrides during development by @danieldk in #2607
• Add basic FP8 KV cache support by @danieldk in #2603
• Fp8 Cache condition by @flozi00 in #2611
• enable mllama in intel platform by @sywangyi in #2610
• Upgrade minor rust version (Fixes rust build compilation cache) by @Narsil in #2617
• Add support for fused MoE Marlin for AWQ by @danieldk in #2616
• nix: move back to the tgi-nix main branch by @danieldk in #2620
• CI (2599): Update ToolType input schema by @drbh in #2601
• nix: add black and isort to the closure by @danieldk in #2619
• AMD CI by @Narsil in #2589
• feat: allow tool calling to respond without a tool by @drbh in #2614
• Update documentation to most recent stable version of TGI. by @Vaibhavs10 in #2625
• Intel ci by @Narsil in #2630
• Fixing intel Supports windowing. by @Narsil in #2637
• Small fixes for supported models by @osanseviero in #2471
• Cpu perf by @Narsil in #2596
• Clarify gated description and quicktour by @osanseviero in #2631
• update ipex to fix incorrect output of mllama in cpu by @sywangyi in #2640
• feat: enable pytorch xpu support for non-attention models by @dvrogozh in #2561
• Fixing linters. by @Narsil in #2650
• Rollback to ChatRequest for Vertex AI Chat instead of VertexChat by @alvarobartt in #2651
• Fp8 e4m3_fnuz support for rocm by @mht-sharma in #2588
• feat: prefill chunking by @OlivierDehaene in #2600
• Support e4m3fn KV cache by @danieldk in #2655
• Simplify the attention function by @danieldk in #2609
• fix tgi-entrypoint wrapper in docker file: exec instead of spawning a child process by @oOraph in #2663
• fix: prefer inplace softmax to avoid copy by @drbh in #2661
• Break cycle between the attention implementations and KV cache by @danieldk in #2627
• CI job. Gpt awq 4 by @Narsil in #2665
• Make handling of FP8 scales more consisent by @danieldk in #2666
• Test Marlin MoE with desc_act=true by @danieldk in #2622
• break when there's nothing to read by @sywangyi in #2582
• Add impureWithCuda dev shell by @danieldk in #2677
• Make moe-kernels and marlin-kernels mandatory in CUDA installs by @danieldk in #2632
• feat: natively support Granite models by @OlivierDehaene in #2682
• feat: allow any supported payload on /invocations by @OlivierDehaene in #2683
• flashinfer: reminder to remove contiguous call in the future by @danieldk in #2685
• Fix Phi 3.5 MoE tests by @danieldk in #2684
• Add support for FP8 KV cache scales by @danieldk in #2628
• Fixing "deadlock" when python prompts for trust_remote_code by always by @Narsil in #2664
• [TENSORRT-LLM] - Implement new looper thread based backend by @mfuntowicz in #2357
• Fixing rocm gptq by using triton code too (renamed cuda into triton). by @Narsil in #2691
• Fixing mt0 test. by @Narsil in #2692
• Add support for stop words in TRTLLM by @mfuntowicz in #2678
• Switch from fbgemm-gpu w8a8 scaled matmul to vLLM/marlin-kernels by @danieldk in #2688

New Contributors

• @alvarobartt made their first contribution in https://github.com/huggingface/...

v2.3.1

Important changes

• Added support for Mllama (3.2, vision models). Flashed, unpadded.
• FP8 performance improvements
• Moe performance improvements
• BREAKING CHANGE - When using tools, models could answer with a tool call notify_error with the content error, it will instead output regular generation.

What's Changed

• nix: remove unused _server.nix file by @danieldk in #2538
• chore: Add old V2 backend by @OlivierDehaene in #2551
• Remove duplicated RUN in Dockerfile by @alvarobartt in #2547
• Micro cleanup. by @Narsil in #2555
• Hotfixing main by @Narsil in #2556
• Add support for scalar FP8 weight scales by @danieldk in #2550
• Add DenseMoELayer and wire it up in Mixtral/Deepseek V2 by @danieldk in #2537
• Update the link to the Ratatui organization by @orhun in #2546
• Simplify crossterm imports by @orhun in #2545
• Adding note for private models in quick-tour document by @ariG23498 in #2548
• Hotfixing main. by @Narsil in #2562
• Cleanup Vertex + Chat by @Narsil in #2553
• More tensor cores. by @Narsil in #2558
• remove LORA_ADAPTERS_PATH by @nbroad1881 in #2563
• Add LoRA adapters support for Gemma2 by @alvarobartt in #2567
• Fix build with --features google by @alvarobartt in #2566
• Improve support for GPUs with capability < 8 by @danieldk in #2575
• flashinfer: pass window size and dtype by @danieldk in #2574
• Remove compute capability lazy cell by @danieldk in #2580
• Update architecture.md by @ulhaqi12 in #2577
• Update ROCM libs and improvements by @mht-sharma in #2579
• Add support for GPTQ-quantized MoE models using MoE Marlin by @danieldk in #2557
• feat: support phi3.5 moe by @drbh in #2479
• Move flake back to tgi-nix main by @danieldk in #2586
• MoE Marlin: support desc_act for groupsize != -1 by @danieldk in #2590
• nix: experimental support for building a Docker container by @danieldk in #2470
• Mllama flash version by @Narsil in #2585
• Max token capacity metric by @Narsil in #2595
• CI (2592): Allow LoRA adapter revision in server launcher by @drbh in #2602
• Unroll notify error into generate response by @drbh in #2597
• New release 2.3.1 by @Narsil in #2604

New Contributors

• @alvarobartt made their first contribution in #2547
• @orhun made their first contribution in #2546
• @ariG23498 made their first contribution in #2548
• @ulhaqi12 made their first contribution in #2577
• @mht-sharma made their first contribution in #2579

Full Changelog: v2.3.0...v2.3.1

v2.3.0

Important changes

• Renamed HUGGINGFACE_HUB_CACHE to use HF_HOME. This is done to harmonize environment variables across HF ecosystem.
  So locations of data moved from /data/models-.... to /data/hub/models-.... on the Docker.

• Prefix caching by default ! To help with long running queries TGI will use prefix caching a reuse pre-existing queries in the kv-cache in order to speed up TTFT. This should be totally transparent for most users, however this has required a instense rewrite of internals and therefore bugs can potentially exist. Also we changed kernels from paged_attention to flashinfer (and flashdecoding as a fallback for some specific models that aren't supported by flashinfer).

• Lots of performance improvements with Marlin and quantization.

What's Changed

• chore: update to torch 2.4 by @OlivierDehaene in #2259
• fix crash in multi-modal by @sywangyi in #2245
• fix of use of unquantized weights in cohere GQA loading, also enable … by @sywangyi in #2291
• Split up layers.marlin into several files by @danieldk in #2292
• fix: refactor adapter weight loading and mapping by @drbh in #2193
• Using g6 instead of g5. by @Narsil in #2281
• Some small fixes for the Torch 2.4.0 update by @danieldk in #2304
• Fixing idefics on g6 tests. by @Narsil in #2306
• Fix registry name by @XciD in #2307
• Support tied embeddings in 0.5B and 1.5B Qwen2 models by @danieldk in #2313
• feat: add ruff and resolve issue by @drbh in #2262
• Run ci api key by @ErikKaum in #2315
• Install Marlin from standalone package by @danieldk in #2320
• fix: reject grammars without properties by @drbh in #2309
• patch-error-on-invalid-grammar by @ErikKaum in #2282
• fix: adjust test snapshots and small refactors by @drbh in #2323
• server quantize: store quantizer config in standard format by @danieldk in #2299
• Rebase TRT-llm by @Narsil in #2331
• Handle GPTQ-Marlin loading in GPTQMarlinWeightLoader by @danieldk in #2300
• Pr 2290 ci run by @drbh in #2329
• refactor usage stats by @ErikKaum in #2339
• enable HuggingFaceM4/idefics-9b in intel gpu by @sywangyi in #2338
• Fix cache block size for flash decoding by @danieldk in #2351
• Unify attention output handling by @danieldk in #2343
• fix: attempt forward on flash attn2 to check hardware support by @drbh in #2335
• feat: include local lora adapter loading docs by @drbh in #2359
• fix: return the out tensor rather then the functions return value by @drbh in #2361
• feat: implement a templated endpoint for visibility into chat requests by @drbh in #2333
• feat: prefer stop over eos_token to align with openai finish_reason by @drbh in #2344
• feat: return the generated text when parsing fails by @drbh in #2353
• fix: default num_ln_in_parallel_attn to one if not supplied by @drbh in #2364
• fix: prefer original layernorm names for 180B by @drbh in #2365
• fix: fix num_ln_in_parallel_attn attribute name typo in RWConfig by @almersawi in #2350
• add gptj modeling in TGI #2366 (CI RUN) by @drbh in #2372
• Fix the prefix for OPT model in opt_modelling.py #2370 (CI RUN) by @drbh in #2371
• Pr 2374 ci branch by @drbh in #2378
• fix EleutherAI/gpt-neox-20b does not work in tgi by @sywangyi in #2346
• Pr 2337 ci branch by @drbh in #2379
• fix: prefer hidden_activation over hidden_act in gemma2 by @drbh in #2381
• Update Quantization docs and minor doc fix. by @Vaibhavs10 in #2368
• Pr 2352 ci branch by @drbh in #2382
• Add FlashInfer support by @danieldk in #2354
• Add experimental flake by @danieldk in #2384
• Using HF_HOME instead of CACHE to get token read in addition to models. by @Narsil in #2288
• flake: add fmt and clippy by @danieldk in #2389
• Update documentation for Supported models by @Vaibhavs10 in #2386
• flake: use rust-overlay by @danieldk in #2390
• Using an enum for flash backens (paged/flashdecoding/flashinfer) by @Narsil in #2385
• feat: add guideline to chat request and template by @drbh in #2391
• Update flake for 9.0a capability in Torch by @danieldk in #2394
• nix: add router to the devshell by @danieldk in #2396
• Upgrade fbgemm by @Narsil in #2398
• Adding launcher to build. by @Narsil in #2397
• Fixing import exl2 by @Narsil in #2399
• Cpu dockerimage by @sywangyi in #2367
• Add support for prefix caching to the v3 router by @danieldk in #2392
• Keeping the benchmark somewhere by @Narsil in #2401
• feat: validate template variables before apply and improve sliding wi… by @drbh in #2403
• fix: allocate tmp based on sgmv kernel if available by @drbh in #2345
• fix: improve completions to send a final chunk with usage details by @drbh in #2336
• Updating the flake. by @Narsil in #2404
• Pr 2395 ci run by @drbh in #2406
• fix: include create_exllama_buffers and set_device for exllama by @drbh in #2407
• nix: incremental build of the launcher by @danieldk in #2410
• Adding more kernels to flake. by @Narsil in #2411
• add numa to improve cpu inference perf by @sywangyi in #2330
• fix: adds causal to attention params by @drbh in #2408
• nix: partial incremental build of the router by @danieldk in #2416
• Upgrading exl2. by @Narsil in #2415
• More fixes trtllm by @mfuntowicz in #2342
• nix: build router incrementally by @danieldk in #2422
• Fixing exl2 and other quanize tests again. by @Narsil in #2419
• Upgrading the tests to match the current workings. by @Narsil in #2423
• nix: try to reduce the number of Rust rebuilds by @danieldk in https://github.com/huggingface/text-generation-inference/pull/...

v2.2.0

Notable changes

• Llama 3.1 support (including 405B, FP8 support in a lot of mixed configurations, FP8, AWQ, GPTQ, FP8+FP16).
• Gemma2 softcap support
• Deepseek v2 support.
• Lots of internal reworks/cleanup (allowing for cool features)
• Lots of AWQ/GPTQ work with marlin kernels (everything should be faster by default)
• Flash decoding support (FLASH_DECODING=1 environment variables which will probably enable some nice improvements in the future)

What's Changed

• Preparing patch release. by @Narsil in #2186
• Adding "longrope" for Phi-3 (#2172) by @amihalik in #2179
• Refactor dead code - Removing all flash_xxx.py files. by @Narsil in #2166
• Fix Starcoder2 after refactor by @danieldk in #2189
• GPTQ CI improvements by @danieldk in #2151
• Consistently take prefix in model constructors by @danieldk in #2191
• fix dbrx & opt model prefix bug by @icyxp in #2201
• hotfix: Fix number of KV heads by @danieldk in #2202
• Fix incorrect cache allocation with multi-query by @danieldk in #2203
• Falcon/DBRX: get correct number of key-value heads by @danieldk in #2205
• add doc for intel gpus by @sywangyi in #2181
• fix: python deserialization by @jaluma in #2178
• update to metrics 0.23.0 or could work with metrics-exporter-promethe… by @sywangyi in #2190
• feat: use model name as adapter id in chat endpoints by @drbh in #2128
• Fix nccl regression on PyTorch 2.3 upgrade by @fxmarty in #2099
• Fix buildx cache + change runner type by @glegendre01 in #2176
• Fixed README ToC by @vinkamath in #2196
• Updating the self check by @Narsil in #2209
• Move quantized weight handling out of the Weights class by @danieldk in #2194
• Add support for FP8 on compute capability >=8.0, <8.9 by @danieldk in #2213
• fix: append DONE message to chat stream by @drbh in #2221
• [fix] Modifying base in yarn embedding by @SeongBeomLEE in #2212
• Use symmetric quantization in the quantize subcommand by @danieldk in #2120
• feat: simple mistral lora integration tests by @drbh in #2180
• fix custom cache dir by @ErikKaum in #2226
• fix: Remove bitsandbytes installation when running cpu-only install by @Hugoch in #2216
• Add support for AWQ-quantized Idefics2 by @danieldk in #2233
• server quantize: expose groupsize option by @danieldk in #2225
• Remove stray quantize argument in get_weights_col_packed_qkv by @danieldk in #2237
• fix(server): fix cohere by @OlivierDehaene in #2249
• Improve the handling of quantized weights by @danieldk in #2250
• Hotfix: fix of use of unquantized weights in Gemma GQA loading by @danieldk in #2255
• Hotfix: various GPT-based model fixes by @danieldk in #2256
• Hotfix: fix MPT after recent refactor by @danieldk in #2257
• Hotfix: pass through model revision in VlmCausalLM by @danieldk in #2258
• usage stats and crash reports by @ErikKaum in #2220
• add usage stats to toctree by @ErikKaum in #2260
• fix: adjust default tool choice by @drbh in #2244
• Add support for Deepseek V2 by @danieldk in #2224
• re-push to internal registry by @XciD in #2242
• Add FP8 release test by @danieldk in #2261
• feat(fp8): use fbgemm kernels and load fp8 weights directly by @OlivierDehaene in #2248
• fix(server): fix deepseekv2 loading by @OlivierDehaene in #2266
• Hotfix: fix of use of unquantized weights in Mixtral GQA loading by @icyxp in #2269
• legacy warning on text_generation client by @ErikKaum in #2271
• fix(ci): test new instances by @XciD in #2272
• fix(server): fix fp8 weight loading by @OlivierDehaene in #2268
• Softcapping for gemma2. by @Narsil in #2273
• use proper name for ci by @XciD in #2274
• Fixing mistral nemo. by @Narsil in #2276
• fix(l4): fix fp8 logic on l4 by @OlivierDehaene in #2277
• Add support for repacking AWQ weights for GPTQ-Marlin by @danieldk in #2278
• [WIP] Add support for Mistral-Nemo by supporting head_dim through config by @shaltielshmid in #2254
• Preparing for release. by @Narsil in #2285
• Add support for Llama 3 rotary embeddings by @danieldk in #2286
• hotfix: pin numpy by @danieldk in #2289

New Contributors

• @jaluma made their first contribution in #2178
• @vinkamath made their first contribution in #2196
• @ErikKaum made their first contribution in #2226
• @Hugoch made their first contribution in #2216
• @XciD made their first contribution in #2242
• @shaltielshmid made their first contribution in #2254

Full Changelog: v2.1.1...v2.2.0