rapidchat MLX 4-bit
Quantized builds of rapidchat, the 9B airline-support fine-tune. These builds were not separately benchmarked: the 86.5 tau2-bench airline pass^1 is for the full bf16 model, and 4-bit quantization usually costs a little accuracy. Training data: rapidchat-data.
For iPhone, iPad and Mac (Apple silicon). Converted with mlx-lm (4-bit); not test-run on Apple hardware yet.
run it
pip install mlx-lm
mlx_lm.generate --model badr7/rapidchat-MLX-4bit --prompt 'Hi, I need to change my flight.'
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Model size
9B params
Tensor type
U32
·
BF16 ·
Hardware compatibility
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4-bit
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