* fix rotating kv cache for chat use case
* reorg + fixes to caching, unify prompt caching across types and use cases for e.g. caching during a chat
* nit in chat
* fix tests
* fix tests
* fix tests
* docs
* chat command
* comments + docs
* Define meta_state on all Cache implementations
* fixes + trim_prompt_cache api
* fix default model
---------
Co-authored-by: Angelos Katharopoulos <a_katharopoulos@apple.com>
* Adding full model weights finetuning
* Updating the LORA.md and ACKNOWLEDGMENTS.md files.
* removing --use-dora and --fulll-training and adding --fine-tune-type
* some clean up
* reformating and fixing dora training
* updated CONFIG_DEFAULTS
* update config example
* update in the config example fie
* Update LORA.md
* merge and commit
* adding argument for dora linear layer
* clean up
* clean up in the example yaml file
* fix
* final fix before sending
* small addition to re md file
* fix for loading the fully trained model by saving all the files and configs correctly
* clean up
* removing the unnesesairy files
* changing lora layers back to 16
* removed max file size
* nits
* resolve merge
* some consistency changes
---------
Co-authored-by: Awni Hannun <awni@apple.com>
* Add logits_processor option for the generation as in huggingface transformers library
* concatenation correction
* Rename the tokens variable for clarity
* remove the logit_bias argument from generate_step method
* fix the variable name
* nits + test
* test
* add back logit bias + test
---------
Co-authored-by: Awni Hannun <awni@apple.com>
* Initial implementation
* Fix handling of return_step_logits in return
* Fixed OpenAI parameter expectations and logprob structure and datatypes
* pre-commit black formatting
* Remove unused parameter
* fix log probs
* fix colorize
* nits in server
* nits in server
* Fix top_logprobs structure (a dict) and include tokens in logprobs response
* nits
* fix types
---------
Co-authored-by: Awni Hannun <awni@apple.com>
* fix: Added dedicated error handling to load and get_model_path
Added proper error handling to load and get_model_path by adding a dedicated exception class, because when the local path is not right, it still throws the huggingface RepositoryNotFoundError
* fix: Changed error message and resolved lack of import
* fix: Removed redundant try-catch block
* nits in message
* nits in message
---------
Co-authored-by: Awni Hannun <awni@apple.com>
* Add `model_config` parameter to `load()` and `load_model()`
For easy editing of the loaded model configuration (e.g., for changing RoPE theta or scaling of Phi-3 model)
Example:
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Phi-3-mini-4k-instruct-4bit-no-q-embed", model_config={"rope_theta":50000.0})
response = generate(model, tokenizer, prompt, max_tokens=MAX_TOKENS)
```
* Possible bug (default_loss)
* Revert "Possible bug (default_loss)"
This reverts commit 70a55ace18.
* Fix default_loss for lora
* 1. move load_model's new optional `model_config` arg to the end (fetch_from_hub()'s `model = load_model(model_path, lazy)`) 2. fix indentations (`black` hook)
* Update model card describe
- Add full link jump
- Add the address of the model uploader's Hugging Face homepage
* Add user_info to reduce whoami calls
* Remove the -U argument
* remove HF user info
* run pre-commit
* chore(mlx-lm): clean up the top p imp
* chore: clean up
* chore: add test
* chore: address comments
* chore: clean up docs string
* chore: clean up test
