Instructions to use dfp-official/GLM-5.3-Flash-oQ8e-mtp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dfp-official/GLM-5.3-Flash-oQ8e-mtp with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir GLM-5.3-Flash-oQ8e-mtp dfp-official/GLM-5.3-Flash-oQ8e-mtp
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
GLM-5.3-Flash-oQ8e-mtp
This model was quantized using oQ (oMLX v0.6.3) mixed-precision quantization.
Quantization details
- Model type: glm5_next
- Bits: 8
- Group size: 64
- Format: MLX safetensors
- Downloads last month
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Hardware compatibility
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8-bit
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