Instructions to use midium-ai/d3-flash-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use midium-ai/d3-flash-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download midium-ai/d3-flash-8bit --local-dir d3-flash-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 262 Bytes
110b223 | 1 2 3 4 5 6 7 8 | {
"source": "vllm-sr/d3-flash@13dc1cc8ef23caefa765907e1d764751e5629f7d",
"bits": 8,
"group_size": 64,
"method": "round-to-nearest (no calibration)",
"quantized": "language model only",
"tool": "scripts/decision_bakeoff/quantize_readout.py (Midium)"
} |