* upgrade numpy to 2.3.4
* bump contribs for numpy
* fix vllm versions
* bump numba
* make sure psutil is installed
* add psutil to cicd dockerfile jinja
* lower dep versions of numba + numpy for vllm
* bump datasets version
* resolve pydantic conflict too
* build cuda 13.0.0 base image with 2.9.0
* upgrade causal-conv1d
* 1.5.4 not in pypi yet
* pin to 1.3.0
* use github release instead of pypi
* split the logic for incompatible packages
* fix bash in dockerfile
* 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
* build base images for torch 2.7.1
* fix: update base docker to use torch 2.7.1
* fix: update doc for main base to use 2.7.1
* make sure to install fa2 in base uv too
* use no build isolation for uv+flashattn
* install psutil also for fa2
* longer timeout for flash attn build
---------
Co-authored-by: NanoCode012 <nano@axolotl.ai>
* feat: add llama4 multimodal
* feat: add torchvision to base docker
* just use latest torchvision
---------
Co-authored-by: Wing Lian <wing@axolotl.ai>
* add 12.8.1 cuda to the base matrix
* use nightly
* bump deepspeed and set no binary
* deepspeed binary fixes hopefully
* install deepspeed by itself
* multiline fix
* make sure ninja is installed
* try with reversion of packaging/setuptools/wheel install
* use license instead of license-file
* try rolling back packaging and setuptools versions
* comment out license for validation for now
* make sure packaging version is consistent
* more parity across tests and docker images for packaging/setuptools
* allow flexibility in transformers version for FSDP
* more flexibility with dev versions of 4.47.0.dev0
* add patch for fsdp
* fix typo
* correct fn name
* stray character
* fix patch
* reset Trainer too
* also reset Trainer.training_step
* allow tests/patched to run more than one process on e2e runner
* skip tests/patched in e2e for now since it's run in regular pytest
* flash attn pip
* add packaging
* add packaging to apt get
* install flash attn in dockerfile
* remove unused whls
* add wheel
* clean up pr
fix packaging requirement for ci
upgrade pip for ci
skip build isolation for requiremnents to get flash-attn working
install flash-attn seperately
* install wheel for ci
* no flash-attn for basic cicd
* install flash-attn as pip extras
---------
Co-authored-by: Ubuntu <mgh@mgh-vm.wsyvwcia0jxedeyrchqg425tpb.ax.internal.cloudapp.net>
Co-authored-by: mhenrichsen <some_email@hey.com>
Co-authored-by: Mads Henrichsen <mads@BrbartiendeMads.lan>
Co-authored-by: Wing Lian <wing.lian@gmail.com>
* drop cuda117/torch 1.13.1 from support, pin flash attention to v2.0.1, rm torchvision/torchaudio install
* gptq base build not needed. add sm 9.0 support
