* upgrade to flash-attn 2.8.0.post2
* use cu126 with torch 2.6
* seems vllm 0.8.5.post1 not compatible with cuda12.6.3 and torch 2.6
* cu126 + torch 2.6 as the default
* use cu126 for multigpu w torch 2.6 too
* drop vllm for now from ci for now
* update trl to 0.17.0
* grpo + vllm no longer supported with 2.5.1 due to vllm constraints
* disable VLLM_USE_V1 for ci
* imporve handle killing off of multiprocessing vllm service
* debug why this doesn't run in CI
* increase vllm wait time
* increase timeout to 5min
* upgrade to vllm 0.8.4
* dump out the vllm log for debugging
* use debug logging
* increase vllm start timeout
* use NVL instead
* disable torch compile cache
* revert some commented checks now that grpo tests are fixed
* increase vllm timeoout back to 5min
* builds for torch==2.7.0
* use xformers==0.0.29.post3
* no vllm support with torch 2.7
* update default, fix conditional
* no xformers for 270
* no vllm on 2.7.0 for multigpu test too
* remove deprecated verbose arg from scheduler
* 2.7.0 tests on cpu
* fixes for delinearization, and make qlora work with fsdp2
* Add back mistakenly removed lm_eval
* typo [skip ci]
* patch evals for torch.compile + fsdp2
* also check torch_compile w fsdp2
* lots of fixes for flex attn with llama4
* fix patch check and patch llama4 too
* attempt to make the patches stick
* use transformers 4.51.2
* update configs and README for llama4
* remove torch.compile for CI test
* cleanup any existing singletons
* set singleton cache to None instead of deleting
* use importlib reload with monkeypatch
* don't worry about transformers version, mark inputs with grads, fix regex
* make sure embeds aren't on cpu
* logging and mem improvements
* vllm version and add to docker, make sure to save processor on conversion
* fix ambiguous tensor bool check
* fix vllm to not use v1, upgrade hf transformers
* fix tests
* make flex_attn_compile_kwargs configurable, since this depends on model params
---------
Co-authored-by: Wing Lian <wing@axolotl.ai>
Co-authored-by: Salman Mohammadi <salman.mohammadi@outlook.com>
* make torch 2.6.0 the default image
* fix tests against upstream main
* fix attribute access
* use fixture dataset
* fix dataset load
* correct the fixtures + tests
* more fixtures
* add accidentally removed shakespeare fixture
* fix conversion from unittest to pytest class
* nightly main ci caches
* build 12.6.3 cuda base image
* override for fix from huggingface/transformers#37162
* address PR feedback
* update actions version for node16 deprecation
* update pre-commit/action to use 3.0.1 for actions/cache@v4 dep
* update docker/setup-buildx-action too to v3
* add axolotlai docker hub org to publish list
* fix to use latest actions docker metadata version
* fix list in yaml for expected format for action
* missed a change
* make mlflow optional
* fix xformers
don't patch swiglu if xformers not working
fix the check for xformers swiglu
* fix install of xformers with extra index url for docker builds
* fix docker build arg quoting
* add torch to requirements.txt at build time to force version to stick
* fix xformers check
* better handling of xformers based on installed torch version
* fix for ci w/o torch
