Instructions to use jason-schulz/Yi-Coder-9B-Chat-oQ8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use jason-schulz/Yi-Coder-9B-Chat-oQ8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Yi-Coder-9B-Chat-oQ8 jason-schulz/Yi-Coder-9B-Chat-oQ8
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Yi-Coder-9B-Chat-oQ8
This model was quantized using oQ (oMLX v0.3.6) mixed-precision quantization.
Quantization details
- Model type: llama
- Bits: 8
- Group size: 64
- Format: MLX safetensors
- Downloads last month
- 171
Model size
2B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
Log In to add your hardware
8-bit
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support