* 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
* nix: experimental support for building a Docker image
Run using something like:
```
docker run \
--device nvidia.com/gpu=all \
-it --rm -p 8080:80 \
-v $PWD/data:/data \
-v $PWD/tmp:/tmp \
tgi-docker:latest \
--model-id <model_id>
```
* Example of building the Docker image using Nix inside Docker
* Stream to make the builder image smaller
This avoids storing a Docker image tarball in the image. Instead,
stream the layers while doing `docker run`.
* Don't spam journalctl on Linux
* Other dockerfile.
---------
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
This change add support for MoE models that use GPTQ quantization.
Currently only models with the following properties are supported:
- No `desc_act` with tensor parallelism, unless `group_size=-1`.
- No asymmetric quantization.
- No AWQ.
* Improve support for GPUs with capability < 8
- For models that cannot use flashinfer, use flash-attn v1 + paged
attention for models with a compute capability older than 8.
- Disable prefix caching when using paged attention.
- When using flash-attn v1, pass the key/value, rather than the
cache, since v1 cannot use block tables.
* nix: add flash-attn-v1 to the server environment
* Move disabling prefix caching into the block of exceptions
* Capability as `usize`s
* 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
* Add nix test.
* Modifying yourself means you need to rerun.
* Fixing the test + adding click (needed for pre-commit hooks).
* Try thuis.
* Our runner + pure test (not written)
* Reemove server.
* Root user.
* Different user ?
* Add the actual test target.
* Forgot this modification.
* Add a formatter.
* Add the secrets.
* Fixed the auth token ?
* Adding the other tests.
* Missing pre-commit.
* Test requires cargo for cargo fmt.
* Update it a bit.
* Up.
* Attempting to use a cache location for the models.
* Ignore the cache for now.
Ideally we wouldn't have the router wrapper that this change adds,
but when I give PyO3 a Python interpreter with packages, it ends
up linking libpython from the Python interpreter rather than the
constructed environment and cannot pick up the Python modules as
a result.
Updates tgi-nix input:
- Move Torch closer to upstream by building against MKL.
- Remove compute capability 8.7 from Torch (Jetson).
- Sync nixpkgs cumpute capabilities with Torch (avoids
compiling too mana capabilities for MAGMA).
- Use nixpkgs configuration passed through by `tgi-nix`.
The default package wraps the launcher and puts the server/router in the
path.
As a result, TGI can be started using something like:
```
nix run .# -- \
--model-id hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4 \
--port 8080
```
* nix: pure server and support both pure and impure devShells
* nix: remove unused poetry2nix input
It is not wired up and we now have a pure server.
* nix: add ipdb to impure devshell
Try to reduce the number of router/launcher rebuilds by filtering
sources. In this way, recompiles should only be triggered by changes
in Cargo or Rust files.
Nicolas Patry