MLX
Safetensors
mistral3
rotorquant
kv-cache-quantization
2-bit
weight-quantization
leanstral
lean4
formal-proofs
theorem-proving
quantized
apple-silicon
mistral
Mixture of Experts
Instructions to use majentik/Leanstral-RotorQuant-MLX-2bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use majentik/Leanstral-RotorQuant-MLX-2bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Leanstral-RotorQuant-MLX-2bit majentik/Leanstral-RotorQuant-MLX-2bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 39dffef36fbe47b34a01f8fb70d79797fb2faeca2df94062e9eebfcfafb8e856
- Size of remote file:
- 17.1 MB
- SHA256:
- 2ba5b3330fd84d5376fcca797cfb3b42eee6241ce23e3271e6fb2a115a8751bd
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