v2.0.4

Main changes

• AMD MI300 compatibility by @fxmarty in #1764
• Many bugfixes.

What's Changed

• OpenAI function calling compatible support by @phangiabao98 in #1888
• Fixing types. by @Narsil in #1906
• Types. by @Narsil in #1909
• Fixing signals. by @Narsil in #1910
• Removing some unused code. by @Narsil in #1915
• MI300 compatibility by @fxmarty in #1764
• Add TGI monitoring guide through Grafana and Prometheus by @fxmarty in #1908
• Update grafana template by @fxmarty in #1918
• Fix TunableOp bug by @fxmarty in #1920
• Fix TGI issues with ROCm by @fxmarty in #1921
• Fixing the download strategy for ibm-fms by @Narsil in #1917
• ROCm: make CK FA2 default instead of Triton by @fxmarty in #1924
• docs: Fix grafana dashboard url by @edwardzjl in #1925
• feat: include token in client test like server tests by @drbh in #1932
• Creating doc automatically for supported models. by @Narsil in #1929
• fix: use path inside of speculator config by @drbh in #1935
• feat: add train medusa head tutorial by @drbh in #1934
• reenable xpu for tgi by @sywangyi in #1939
• Fixing some legacy behavior (big swapout of serverless on legacy stuff). by @Narsil in #1937
• Add completion route to client and add stop parameter where it's missing by @thomas-schillaci in #1869
• Improving the logging system. by @Narsil in #1938
• Fixing codellama loads by using purely AutoTokenizer. by @Narsil in #1947

New Contributors

• @phangiabao98 made their first contribution in #1888
• @edwardzjl made their first contribution in #1925
• @thomas-schillaci made their first contribution in #1869

Full Changelog: v2.0.3...v2.0.4

v2.0.3

Important changes

• Add: Support for the Falcon2 by @Nilabhra in #1886
• New speculation method MLPSpeculator. by @JRosenkranz in #1865
• Pali gemma modeling by @drbh in #1895

What's Changed

• Fix: "Fixing" double BOS for mistral too. by @Narsil in #1843
• Adding scripts to prepare load data. by @Narsil in #1841
• Remove misleading warning (not that important nowadays anyway). by @Narsil in #1848
• feat: prefer huggingface_hub in docs and show image api by @drbh in #1844
• Updating Phi3 (long context). by @Narsil in #1849
• Add router name to /info endpoint by @Wauplin in #1854
• Upgrading to rust 1.78. by @Narsil in #1851
• update xpu docker image and use public ipex whel by @sywangyi in #1860
• Refactor layers. by @Narsil in #1866
• Granite support? by @Narsil in #1882
• Add: Support for the Falcon2 11B architecture by @Nilabhra in #1886
• MLPSpeculator. by @JRosenkranz in #1865
• Fixing truncation. by @Narsil in #1890
• Correct 'using guidance' link by @brandon-lockaby in #1892
• Add GPT-2 with flash attention by @danieldk in #1889
• Removing accepted ids in the regular info logs, downgrade to debug. by @Narsil in #1898
• feat: add deprecation warning to clients by @drbh in #1855
• [Bug Fix] Update torch import reference in bnb quantization by @DhruvSrikanth in #1902
• Pali gemma modeling by @drbh in #1895

New Contributors

• @Nilabhra made their first contribution in #1886
• @brandon-lockaby made their first contribution in #1892
• @danieldk made their first contribution in #1889
• @DhruvSrikanth made their first contribution in #1902

Full Changelog: v2.0.2...v2.0.3

v2.0.2

Tl;dr

• New models (idefics2, phi3)
• Cleaner VLM support in the openai layer
• Upgraded to pytorch 2.3.0

What's Changed

• Make --cuda-graphs 0 work as expected (bis) by @fxmarty in #1768
• fix typos in docs and add small clarifications by @MoritzLaurer in #1790
• Add attribute descriptions for GenerateParameters by @Wauplin in #1798
• feat: allow null eos and bos tokens in config by @drbh in #1791
• Phi3 support by @Narsil in #1797
• Idefics2. by @Narsil in #1756
• fix: avoid frequency and repetition penalty on padding tokens by @drbh in #1765
• Adding support for HF_HUB_OFFLINE support in the router. by @Narsil in #1789
• feat: improve temperature logic in chat by @drbh in #1749
• Updating the benchmarks so everyone uses openai compat layer. by @Narsil in #1800
• Update guidance docs to reflect grammar support in API by @dr3s in #1775
• Use the generation config. by @Narsil in #1808
• 2nd round of benchmark modifications (tiny adjustements to avoid overloading the host). by @Narsil in #1816
• Adding new env variables for TPU backends. by @Narsil in #1755
• add intel xpu support for TGI by @sywangyi in #1475
• Blunder by @Narsil in #1815
• Fixing qwen2. by @Narsil in #1818
• Dummy CI run. by @Narsil in #1817
• Changing the waiting_served_ratio default (stack more aggressively by default). by @Narsil in #1820
• Better graceful shutdown. by @Narsil in #1827
• Add the missing tool_prompt parameter to Python client by @maziyarpanahi in #1825
• Small CI cleanup. by @Narsil in #1801
• Add reference to TPU support by @brandonroyal in #1760
• fix: use get_speculate to the number of layers by @OlivierDehaene in #1737
• feat: add how it works section by @drbh in #1773
• Fixing frequency penalty by @martinigoyanes in #1811
• feat: add vlm docs and simple examples by @drbh in #1812
• Handle images in chat api by @drbh in #1828
• chore: update torch by @OlivierDehaene in #1730
• (chore): torch 2.3.0 by @Narsil in #1833

New Contributors

• @MoritzLaurer made their first contribution in #1790
• @dr3s made their first contribution in #1775
• @maziyarpanahi made their first contribution in #1825
• @brandonroyal made their first contribution in #1760
• @martinigoyanes made their first contribution in #1811

Full Changelog: v2.0.1...v2.0.2

v2.0.1

What's Changed

• feat: improve tools to include name and add tests by @drbh in #1693
• Update response type for /v1/chat/completions and /v1/completions by @Wauplin in #1747
• accept list as prompt for OpenAI API by @drbh in #1702
• fix ROCm docker image

Full Changelog: v2.0.0...v2.0.1

v2.0.0

TGI is back to Apache 2.0!

Highlights

• License was reverted to Apache 2.0
• Cuda graphs are now used by default. They improve latency substancially on high end nodes.
• Llava-next was added. It is the second multimodal model available on TGI after Idefics.
• Cohere Command R+ support. TGI is the fastest open source backend for Command R+
• FP8 support.
• We now share the vocabulary for all medusa heads, greatly improving latency and memory use.

Try out Command R+ with Medusa heads on 4xA100s with:

model=text-generation-inference/commandrplus-medusa
volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run

docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:2.0 --model-id $model --speculate 3 --num-shard 4

What's Changed

• Add cuda graphs sizes and make it default. by @Narsil in #1703
• Pickle conversion now requires --trust-remote-code. by @Narsil in #1704
• Push users to streaming in the readme. by @Narsil in #1698
• Fixing cohere tokenizer. by @Narsil in #1697
• Force weights_only (before fully breaking pickle files anyway). by @Narsil in #1710
• Regenerate ld.so.cache by @oOraph in #1708
• Revert license to Apache 2.0 by @OlivierDehaene in #1714
• Automatic quantization config. by @Narsil in #1719
• Adding Llava-Next (Llava 1.6) with full support. by @Narsil in #1709
• fix: fix CohereForAI/c4ai-command-r-plus by @OlivierDehaene in #1707
• Update libraries by @abhishekkrthakur in #1713
• Dev/mask ldconfig output v2 by @oOraph in #1716
• Fp8 Support by @Narsil in #1726
• Upgrade EETQ (Fixes the cuda graphs). by @Narsil in #1729
• fix(router): fix a possible deadlock in next_batch by @OlivierDehaene in #1731
• chore(cargo-toml): apply lto fat and codegen-units of one by @somehowchris in #1651
• Improve the defaults for the launcher by @Narsil in #1727
• feat: medusa shared by @OlivierDehaene in #1734
• Fix typo in guidance.md by @eltociear in #1735

New Contributors

• @somehowchris made their first contribution in #1651

Full Changelog: v1.4.5...v2.0.0

v.1.4.5

Highlights

• DBRX support #1685. See #1679 on how to prompt the model.

What's Changed

• fix: adjust logprob response logic by @drbh in #1682
• fix: handle batches with and without grammars by @drbh in #1676
• feat: Add dbrx support by @OlivierDehaene in #1685

Full Changelog: v1.4.4...v1.4.5

v.1.4.4

Highlights

• CohereForAI/c4ai-command-r-v01 model support

What's Changed

• Handle concurrent grammar requests by @drbh in #1610
• Fix idefics default. by @Narsil in #1614
• Fix async client timeout by @hugoabonizio in #1617
• accept legacy request format and response by @drbh in #1527
• add missing stop parameter for chat request by @drbh in #1619
• correctly index into mask when applying grammar by @drbh in #1618
• Use a better model for the quick tour by @lewtun in #1639
• Upgrade nix version from 0.27.1 to 0.28.0 by @yuanwu2017 in #1638
• Update peft + transformers + accelerate + bnb + safetensors by @abhishekkrthakur in #1646
• Fix index in ChatCompletionChunk by @Wauplin in #1648
• Fixing minor typo in documentation: supported hardware section by @SachinVarghese in #1632
• bump minijina and add test for core templates by @drbh in #1626
• support force downcast after FastRMSNorm multiply for Gemma by @drbh in #1658
• prefer spaces url over temp url by @drbh in #1662
• improve tool type, bump pydantic and outlines by @drbh in #1650
• Remove unecessary cuda graph. by @Narsil in #1664
• Repair idefics integration tests. by @Narsil in #1663
• fix: LlamaTokenizerFast to AutoTokenizer at flash_mistral.py by @SeongBeomLEE in #1637
• Inline images for multimodal models. by @Narsil in #1666

New Contributors

• @hugoabonizio made their first contribution in #1617
• @yuanwu2017 made their first contribution in #1638
• @abhishekkrthakur made their first contribution in #1646
• @Wauplin made their first contribution in #1648
• @SachinVarghese made their first contribution in #1632
• @SeongBeomLEE made their first contribution in #1637

Full Changelog: v1.4.3...v1.4.4

v1.4.3

Highlights

• Add support for Starcoder 2
• Add support for Qwen2

What's Changed

• fix openapi schema by @OlivierDehaene in #1586
• avoid default message by @drbh in #1579
• Revamp medusa implementation so that every model can benefit. by @Narsil in #1588
• Support tools by @drbh in #1587
• Fixing x-compute-time. by @Narsil in #1606
• Fixing guidance docs. by @Narsil in #1607
• starcoder2 by @OlivierDehaene in #1605
• Qwen2 by @Jason-CKY in #1608

Full Changelog: v1.4.2...v1.4.3

v1.4.2

Highlights

• Add support for Google Gemma models

What's Changed

• Fix mistral with length > window_size for long prefills (rotary doesn't create long enough cos, sin). by @Narsil in #1571
• improve endpoint support by @drbh in #1577
• refactor syntax to correctly include structs by @drbh in #1580
• fix openapi and add jsonschema validation by @OlivierDehaene in #1578
• add support for Gemma by @OlivierDehaene in #1583

Full Changelog: v1.4.1...v1.4.2

v1.4.1

Highlights

• Mamba support by @drbh in #1480 and by @Narsil in #1552
• Experimental support for cuda graphs by @OlivierDehaene in #1428
• Outlines guided generation by @drbh in #1539
• Added name field to OpenAI compatible API Messages by @amihalik in #1563

What's Changed

• Fixing top_n_tokens. by @Narsil in #1497
• Sending compute type from the environment instead of hardcoded string by @Narsil in #1504
• Create the compute type at launch time (if not provided in the env). by @Narsil in #1505
• Modify default for max_new_tokens in python client by @freitng in #1336
• feat: eetq gemv optimization when batch_size <= 4 by @dtlzhuangz in #1502
• fix: improve messages api docs content and formatting by @drbh in #1506
• GPTNeoX: Use static rotary embedding by @dwyatte in #1498
• Hotfix the / health - route. by @Narsil in #1515
• fix: tokenizer config should use local model path when possible by @drbh in #1518
• Updating tokenizers. by @Narsil in #1517
• [docs] Fix link to Install CLI by @pcuenca in #1526
• feat: add ie update to message docs by @drbh in #1523
• feat: use existing add_generation_prompt variable from config in temp… by @drbh in #1533
• Update to peft 0.8.2 by @Stillerman in #1537
• feat(server): add frequency penalty by @OlivierDehaene in #1541
• chore: bump ci rust version by @drbh in #1543
• ROCm AWQ support by @IlyasMoutawwakil in #1514
• feat(router): add max_batch_size by @OlivierDehaene in #1542
• feat: add deserialize_with that handles strings or objects with content by @drbh in #1550
• Fixing glibc version in the runtime. by @Narsil in #1556
• Upgrade intermediary layer for nvidia too. by @Narsil in #1557
• Improving mamba runtime by using updates by @Narsil in #1552
• Small cleanup. by @Narsil in #1560
• Bugfix: eos and bos tokens positions are inconsistent by @amihalik in #1567
• chore: add pre-commit by @OlivierDehaene in #1569
• feat: add chat template struct to avoid tuple ordering errors by @OlivierDehaene in #1570
• v1.4.1 by @OlivierDehaene in #1568

New Contributors

• @freitng made their first contribution in #1336
• @dtlzhuangz made their first contribution in #1502
• @dwyatte made their first contribution in #1498
• @pcuenca made their first contribution in #1526
• @Stillerman made their first contribution in #1537
• @IlyasMoutawwakil made their first contribution in #1514
• @amihalik made their first contribution in #1563

Full Changelog: v1.4.0...v1.4.1