Previous title: Add api_streaming extension and update api-example-stream to use it
* Merge with latest main
* Add parameter capturing encoder_repetition_penalty
* Change some defaults, minor fixes
* Add --api, --public-api flags
* remove unneeded/broken comment from blocking API startup. The comment is already correctly emitted in try_start_cloudflared by calling the lambda we pass in.
* Update on_start message for blocking_api, it should say 'non-streaming' and not 'streaming'
* Update the API examples
* Change a comment
* Update README
* Remove the gradio API
* Remove unused import
* Minor change
* Remove unused import
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Co-authored-by: oobabooga <112222186+oobabooga@users.noreply.github.com>
* add support for other model types
dependent on future-peft-changes but with fallback to function now
* use encoding=utf8 for training format
* make shuffling optional
and describe dropout a bit more
* add eval_steps to control evaluation
* make callbacks not depend on globals
* make save steps controllable
* placeholder of initial loading-existing-model support
and var name cleanup
* save/load parameters
* last bit of cleanup
* remove `gptq_bits` ref as main branch removed that setting
* add higher_rank_limit option
2048 is basically unreachable due to VRAM, but i trained at 1536 with batch size = 1 on a 7B model.
Note that it's in the do_train input just to save as a parameter
* fix math on save_steps
