* 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>
* feat: add eos_tokens and train_on_eot for chat_template EOT parsing
* fix: comments
* chore: add some examples of tokens
* feat: add new potential errors for chat_template to faq
* feat: add examples for EOT handling
* fix: change error to warning for missing EOS
* fix: warning typo
* feat: add tests for eot token handling
* fix: remove broken caplog capture in test
* fix: chattemplate strategy with kd missing eot changes
* Add runpod sls handler
* remove LICENSE and fix README
* chore: lint
* use axolotl cloud image as base and various fixes
* fix: trim allowed cuda versions
* restore dockerfile
* chore: update title
* use axolotl cloud image
---------
Co-authored-by: Wing Lian <wing@axolotl.ai>
Co-authored-by: NanoCode012 <nano@axolotl.ai>
* 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
