* add OpenAI like tool_choice for named choice
* add tests
* fix: run linter and bump api docs
* fix: consolidate changes and remove old tool type
* feat: improve, simplify and rename tool choice struct add required support and refactor
* fix: simplify tool choice logic, improve tests, openapi and rust docs
* fix: refactor away prepare_chat_input and improve tool grammar apply control flow
* feat: update docs and add tool choice configuration section
* fix: simplify naming, tool choice default and improve test
* fix: adjust tool choice none logic, add test and small refactors
* fix: add missing snapshot file
* fix: adjust tool choice type in test
* fix: adjust default when json tool choice is
* fix: remove trailing space lint after rebase
* fix: remove mostly mocked unit test
---------
Co-authored-by: Linus Bierhoff <linus.bierhoff@icloud.com>
compressed-tensors is a safetensors extension for sparse, quantized
tensors. The format is more powerful than earlier AWQ/GPTQ/FP8
quantization, because
- Different quantizer configurations can be used for different targets.
- The format can specify input/output quantizers in addition to weight
quantizers.
- Configurable exclusions for quantization.
This change adds a dependency on the `compressed-tensors` package for
its configuration parsing and layer matching functionality.
The following types of quantization are supported in this PR:
- W8A16 and W4A16 INT using GPTQ-Marlin kernels.
- W8A8 and W8A16 FP using FP8-Marlin and cutlass kernels.
Support for other quantization types will be added in subsequent PRs.
* feat: add support for qwen2 vl model
* feat: fix token padding, enable warmup and process basic request
* fix: improve get_position_ids, add lift embed_tokens
* fix: remove get_cos_sin_hack dev function
* feat: add simple test chat with meesage and text
* fix: lint test
* fix: adjust positional embeddings for multi dimensional position ids
* fix: update docs and lint unused vars
* fix: include linted file
* fix: add norm after text output
* fix: format model file
* fix: adjust for ruff lints
* fix: remove unused rotate_half
* feat: refactors and calc num features
* fix: prefer position_ids passed from vlm causal lm and reset ids on batch
* fix: adjust get_position_ids if not available and add required args to signatures
* fix: adjust resize case for qwen2_vl warmup
* fix: avoid qwen2 vl specific paths with qwen2
* Small improvements for docs
* Update _toctree.yml
* Updating the doc (we keep the list actually).
---------
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
* Add basic FP8 KV cache support
This change adds rudimentary FP8 KV cache support. The support is
enabled by passing `--kv-cache-dtype fp8_e5m2` to the launcher. Doing so
uses this type for the KV cache. However support is still limited:
* Only the `fp8_e5m2` type is supported.
* The KV cache layout is the same as `float16`/`bfloat16` (HND).
* The FP8 KV cache is only supported for FlashInfer.
* Loading of scales is not yet supported.
* Fix Cargo.toml
* feat: unroll notify_error if no tool is choosen
* fix: expect simple message when no tool is selected
* fix: improve test to avoid notify_error
* fix: improve docs and indicate change in expected response
* fix: adjust linting in test file
* Working loading state.
* Preprocessing.
* Working state ? (Broke idefics1 temporarily).
* Cleaner condition.
* Fix idefics.
* Updating config, removing TODO
* Mllama
* Ugrade transformers 4.45
* Flashing mllama.
* Starting to get there.
* Working state.
* Integrations tests for mllama (cutting to 10 tokens because there seems'
to be instability after (meaning size of the batch matters.
* Updating model link.
* Earlier assert.
* Fix vlm ?
* remove log.
* Force ignore all images but last.
* Default dtype bfloat16.
* Update integration test after switch to bf16.
* Remove dead code.
* Removed dead code.
* Upgrade the flake to latest transformers/tokenizers
* Move to hf tgi-nix
* Upgrade to 0.5.0
* feat: support phi3.5 moe model loading
* fix: prefer llama base model and improve rotary logic
* feat: return reasonable generation and add integration test
* fix: run lint and update docs
* fix: rerun lint for openapi docs
* fix: prefer do_sample false unless temp is set by user, and update chat tests
* fix: small typo adjustments
* fix: consolidate long rope paths
* fix: revert greedy by default and test changes
* Vendor configuration so that we don't have to `trust_remote_code`
* Use SparseMoELayer
* Add support for dense MoE
* Some type annotations
* Add the usual model tests
* Ruff.
---------
Co-authored-by: Daniël de Kok <me@danieldk.eu>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
* Stream options.
* Fetch stuff from nix integration test for easier testing.
* Adding the assert.
* Only send the usage when asked for.
* Update the docs.
* Impure test because we need network.
* develop.
* Optional usage.
* Fixes.
* Workflow
* update doc with intel cpu part
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
* Apply suggestions from code review
we do not use latest ever in documentation, it causes too many issues for users. Release number get update on every release.
---------
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
* doc: Add metrics documentation and add a 'Reference' section
* doc: Add API reference
* doc: Refactor API reference
* fix: Message API link
* Bad rebase
* Moving the docs.
---------
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
* fix: improve completions to send a final chunk with usage details
* fix: include finish reason string
* fix: remove dev debug trait and unneeded mut
* fix: update openapi schema
* Update Quantization docs and minor doc fix.
* update readme with latest quants info
* Apply suggestions from code review
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* up
---------
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* add gptj modeling
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
* fix: update docs for model addition
* fix: adjust syntax typo
* fix: adjust syntax typo again
---------
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
Co-authored-by: Wang, Yi A <yi.a.wang@intel.com>
David Holtz