Instructions to use mlx-community/DeepSeek-Coder-V2-Lite-Instruct-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/DeepSeek-Coder-V2-Lite-Instruct-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir DeepSeek-Coder-V2-Lite-Instruct-8bit mlx-community/DeepSeek-Coder-V2-Lite-Instruct-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
mlx-community/DeepSeek-Coder-V2-Lite-Instruct-8bit
The Model mlx-community/DeepSeek-Coder-V2-Lite-Instruct-8bit was converted to MLX format from deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct using mlx-lm version 0.18.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/DeepSeek-Coder-V2-Lite-Instruct-8bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
- Downloads last month
- 1,610
Model size
4B params
Tensor type
F16
·
U32 ·
Hardware compatibility
Log In to add your hardware
Quantized
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir DeepSeek-Coder-V2-Lite-Instruct-8bit mlx-community/DeepSeek-Coder-V2-Lite-Instruct-8bit