GitLab

Update quicktour.md

* break when there's nothing to read
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* Different approach, only listen on stdin when `LOG_LEVEL=debug` (which
is where dropping to a debugger is important).

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Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
Co-authored-by: Wang, Yi A <yi.a.wang@intel.com>

* Small improvements for docs

* Update _toctree.yml

* Updating the doc (we keep the list actually).

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Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

* Intel CI ?

* Let's try non sharded gemma.

* Snapshot rename

* Apparently container can be gone already.

Update to most recent stable version of TGI.

* feat: process token stream before returning to client

* fix: expect content in test

* fix: improve comparison via ruff lint

* fix: return event in all cases

* fix: always send event on error, avoid unwraps, refactor and improve tests

* fix: prefer no_tool over notify_error to improve reponse

* fix: adjust chat input test for no_tool

* fix: adjust test expected content

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Co-authored-by: System administrator <root@ip-10-90-0-186.ec2.internal>

* Only run 1 valid test.

* TRying the tailscale action quickly.

* ?

* bash spaces.

* Remove tailscale.

* More quotes.

* mnt2 ?

* Othername to avoid recursive directories.

* Good old tmate.

* Remove tmate.

* Trying a few things.

* Remove some stuff.

* Sleep ?

* Tmp

* busybox

* Launcher tgi

* Starting hello

* Busybox in python

* No device.

* Removing all variables ?

* A un moment donné.

* Tmp

* Tmp2

* DEvice request, no container name

* No device requests

* Without pytest.

* No pytest.

* from env

* Start with devices

* Attemp #1

* Remove stdin messing

* Only 1 test, no container name

* Raw tgi

* Sending args.

* Show pip freeze.

* Start downloading with token

* Giving HIP devices.

* Mount volume + port forward

* Without pytest.

* No token

* Repeated arguments

* Wrong kwarg.

* On 2 GPUs

* Fallback to single shard CI test.

* Testing

* yaml

* Common cache ?

* Trailing slash ?

* Docker volume split.

* Fix docker volume

* Fixing ?

* ?

* Try no devices ?

* Flash llama on intel CPU ?

* Fix nvidia ?

* Temp deactivate intel, activate nvidia ?

To make sure that everything is formatted with the same black version
as CI.

I sometimes use isort for new files to get nicely ordered imports,
so add it as well. Also set the isort configuration to format in a
way that is compatible with black.

* Update ToolType input schema

* lint

* fix: run formatter

* fix: allow tool choide to be null

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Co-authored-by: Wauplin <lucainp@gmail.com>

* Add support for fused MoE Marlin for AWQ

This uses the updated MoE Marlin kernels from vLLM.

* Add integration test for AWQ MoE

* Upgrade minor rust version (Fixes rust build compilation cache)

* Black

Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

Update kv_cache.py

* 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

Revert "Unroll notify error into generate response (#2597)"

This reverts commit d22b0c1f.

* New release 2.3.1

* Update doc number

* 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

allow revision for lora adapters from launcher
Co-authored-by: Sida <sida@kulamind.com>
Co-authored-by: teamclouday <teamclouday@gmail.com>

* adding max_token_capacity_metric

* added tgi to name of metric

* Adding max capacity metric.

* Add description for the metrics

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Co-authored-by: Edwinhr716 <Edandres249@gmail.com>

* 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.

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Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

This change uses the updated Marlin MoE kernel from vLLM to support
MoE with activation sorting and groups.

* 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.

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Co-authored-by: Daniël de Kok <me@danieldk.eu>
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.

* style

* update torch

* ix issues

* fix clone

* revert mkl

* added custom PA

* style

* fix style

* style

* hide env vart

* fix mixtral model

* add skinny kernel and merge fixes

* fixed style

* fix issue for sliding window models

* addressed review comments

* fix import

* improved error messag

* updated default value

* remove import

* fix imports after rebase

* float16 dep

* improve dockerfile

* cleaned dockerfile

Remove compute capability lock

We are only calling the `get_cuda_capability` function once, so avoiding
the cost of multiple calls is not really necessary yet.

* 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

* Fix `cargo build --features google`

* Add `cargo test --features google`

* Add LoRA adapters support for Gemma2

* Make `black` formatting happy

specify how to call local adapters

* More tensor cores.

* Fixing the logic.

* Gemma is modified by this.

* Cleanup Vertex + Chat

* logprobs defaults to false.

* Parameters are optional

* Fix  docs.

* Changing back this logprobs default.

* Fixup doc.

* Let's debug that.

* Not unstable.

* Updating Cargo ?

* Wat?

* Dummy change.

* Trying some other install.

* Trying smething.

* Revert everything.

* Update Cargo lock.

* Fixing the pre-commit after rebase.

* chore: adding note for private models in quicktour doc

* Update docs/source/quicktour.md
Co-authored-by: Omar Sanseviero <osanseviero@gmail.com>

* Update docs/source/quicktour.md
Co-authored-by: vb <vaibhavs10@gmail.com>

* Update docs/source/quicktour.md
Co-authored-by: vb <vaibhavs10@gmail.com>

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Co-authored-by: Omar Sanseviero <osanseviero@gmail.com>
Co-authored-by: vb <vaibhavs10@gmail.com>