Instructions to use RSLtm/GLM-5.3-Flash-oQ6e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use RSLtm/GLM-5.3-Flash-oQ6e with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download RSLtm/GLM-5.3-Flash-oQ6e --local-dir GLM-5.3-Flash-oQ6e
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
GLM-5.3-Flash-oQ6e
This model was quantized using oQ (oMLX v0.6.4) mixed-precision quantization.
Quantization details
- Model type: glm5_next
- Bits: 6
- Group size: 64
- Format: MLX safetensors
- Downloads last month
- 292
Model size
314B params
Tensor type
U32
路
F32 路
BF16 路
Hardware compatibility
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6-bit
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