Instructions to use vvnaren/CodePhi-3-mini-128k-instruct-pythonAPPSLORA1k-Q8_0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vvnaren/CodePhi-3-mini-128k-instruct-pythonAPPSLORA1k-Q8_0-GGUF with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
metadata
license: mit
library_name: peft
tags:
- generated_from_trainer
- llama-cpp
- gguf-my-lora
base_model: AdnanRiaz107/CodePhi-3-mini-128k-instruct-pythonAPPSLORA1k
model-index:
- name: CodePhi-3-mini-128k-instruct-pythonAPPSLORA1k
results: []
vvnaren/CodePhi-3-mini-128k-instruct-pythonAPPSLORA1k-Q8_0-GGUF
This LoRA adapter was converted to GGUF format from AdnanRiaz107/CodePhi-3-mini-128k-instruct-pythonAPPSLORA1k via the ggml.ai's GGUF-my-lora space.
Refer to the original adapter repository for more details.
Use with llama.cpp
# with cli
llama-cli -m base_model.gguf --lora CodePhi-3-mini-128k-instruct-pythonAPPSLORA1k-q8_0.gguf (...other args)
# with server
llama-server -m base_model.gguf --lora CodePhi-3-mini-128k-instruct-pythonAPPSLORA1k-q8_0.gguf (...other args)
To know more about LoRA usage with llama.cpp server, refer to the llama.cpp server documentation.