* support `revision` parameter

* match unsloth formatting of named parameters

…ained (#609)

Check for incompatible modules before importing unsloth

…d testing. (#345)

* Add save to llama.cpp GGML to save.py.

* Fix conversion command and path of convert to GGML function.

* Add autosaving lora to the GGML function

* Create lora save function for conversion to GGML

* Test fix #2 for saving lora

* Test fix #3 to save  the lora adapters to convert to GGML

* Remove unwated tokenizer saving for conversion to ggml and added a few print statements.

* Needed tokenizer for saving, added it back, also made it more unslothy style by having positional arguments, and added a few messages.

* Positional arguments didn't work out, so reverted to older version of the code, and added a few comments.

* Test fix 1 for arch

* Test fix 2 new Mistral error.

* Test fix 3

* Revert to old version for testing.

* Upload issue test fix 1

* Fix 2 uploading ggml

* Positional ags added.

* Temporray remove positional args

* Fix upload again!!!

* Add print statements and fix link

* Make the calling name better

* Create local saving for GGML

* Add choosing directory to save local GGML.

* Fix lil variable error in the save_to_custom_dir func

llama.cpp is failing to generate quantize versions for the trained models.

Error:

```bash
You might have to compile llama.cpp yourself, then run this again.
You do not need to close this Python program. Run the following commands in a new terminal:
You must run this in the same folder as you're saving your model.
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp && make clean && LLAMA_CUDA=1 make all -j
Once that's done, redo the quantization.
```

But when i do clone this with recursive it works.

Co-authored-by: Daniel Han <danielhanchen@gmail.com>

* fix libcuda_dirs import for triton 3.0

* Update __init__.py

* Update __init__.py

---------

Co-authored-by: Daniel Han <danielhanchen@gmail.com>