Text Classification
MLX
Safetensors
English
qwen3_5
qwen3.5
decision
unofficial-port
experimental
4bit
4-bit precision
Instructions to use cowWhySo/jeeves-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use cowWhySo/jeeves-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download cowWhySo/jeeves-mlx --local-dir jeeves-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 2,080 Bytes
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"hidden_act": "silu",
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"linear_num_key_heads": 16,
"linear_num_value_heads": 32,
"linear_value_head_dim": 128,
"max_position_embeddings": 262144,
"model_type": "qwen3_5",
"num_attention_heads": 16,
"num_hidden_layers": 32,
"num_key_value_heads": 4,
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"partial_rotary_factor": 0.25,
"quantization": {
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"bits": 4,
"mode": "affine"
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"quantization_config": {
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"bits": 4,
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"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
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} |