* update doc and skip brittle grpo test
* fix the path to run the multigpu tests
* increase timeout, use LOC instead of NVL
* typo
* use hf cache from s3 backed cloudfront
* mark grpo as flaky test dues to vllm start
* lean mistral ft tests, remove e2e torch 2.4.1 test
* make sure to pass save_only_model for RL
* more tests to make ci leaner, add cleanup to modal ci
* fix module for import in e2e tests
* use mp spawn to prevent deadlocks with packing
* make sure cleanup shell script is executable when cloned out
* fsdp embeddings should be float32 per comment
* patch peft to not upcast everything
* add tabs back to code check
* fix import
* add configurable option and fix check
* add check for dtypes
* move embeddings test to patch dir
* fix test
* fix comment and logic
* improve readability of multipack sampler
* parallel bin packing
fix error with lambda and pickling
make sure things are in float instead of np.float
* annotations and comments update
* support for configurable group and bin size for sample packing
* fix missing map back to original indices
* feat(doc): add split_thinking docs
* fix: link config.qmd to conversation.qmd for split_thinking example
* update thinking => reasoning_content in messages format
---------
Co-authored-by: Wing Lian <wing@axolotl.ai>
* repop cache
* pre-cache as a step
* fix the name
* add reason for pytest skipif
* restore pytorch matrix
* remove max-parallel now that we've optimized this a bit
* Adds example for training a TTS model on top of a LLM.
* Update examples/orpheus/finetune.yml
Co-authored-by: NanoCode012 <nano@axolotl.ai>
* Update examples/orpheus/finetune.yml
Co-authored-by: NanoCode012 <nano@axolotl.ai>
* Update README.md to clarify GPU requirements for finetuning Orpheus TTS model
* Update finetune.yml to use the new base model canopylabs/orpheus-3b-0.1-pretrained
* Update finetune.yml and README.md for consistency and clarity
---------
Co-authored-by: NanoCode012 <nano@axolotl.ai>
* only configure logging on cli to play nicely with colab
* allow reloading the config on the fly from a dict
* make sure to use dict for yaml
* reuse existing function for load
* make cli args optional
* mps fix and respect max_steps
* Add: SFTPlugin with llmcompressor
* Update: review comments!
* Add:llmcompressor instalable
* pre commit hooks
* Use: warning over warn
* Revert: TODO's
* Update llmcompressor version to latest
* Apply suggestions from @markurtz
Co-authored-by: Mark Kurtz <mark.j.kurtz@gmail.com>
* Address review comments from @markurtz
* Add: llcompressor installable
* Rename: sft.yaml to sparse-finetuning.yaml
* Use: absolute import
* Update model config
* Move: LLMCompressorPlugin into it's own submodule
* Add: `llm_compressor` integration documentation
* Rebase and updates!
* Tests, Style, Updates
* Add: .qmd file
* Address Review Comments:
* deleted redundant docs/llm_compressor.qmd
* incorporated feedback in integration README.md
* added llmcompressor integration to docs/custom_integrations.qmd
Signed-off-by: Rahul Tuli <rtuli@redhat.com>
* Add: line about further optimizations using llmcompressor
Signed-off-by: Rahul Tuli <rtuli@redhat.com>
* Apply patch from @winglian
Signed-off-by: Rahul Tuli <rtuli@redhat.com>
* Fix: Test
Signed-off-by: Rahul Tuli <rtuli@redhat.com>
* additional fixes for docker and saving compressed
* split llmcompressor from vllm checks
* Reset session between tests
Signed-off-by: Rahul Tuli <rtuli@redhat.com>
* move decorator to test method instead of class
* make sure to reset the session after each test
* move import of llmcompressor to reset session inside test
---------
Signed-off-by: Rahul Tuli <rtuli@redhat.com>
Co-authored-by: Mark Kurtz <mark.j.kurtz@gmail.com>
Co-authored-by: Wing Lian <wing@axolotl.ai>
