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ipetrukha/LFM2.5-350M-MLX-4bit
LFM2.5-350M-MLX-4bit is a text generation model from ipetrukha. Use it when you need the model to write or continue text. It is set up for mlx.
Re-quantization of LiquidAI/LFM2.5-350M (revision 9e6c6ccf47cd318696e137d381a7ded8fe4df09f) with mlx-lm 0.31.3: affine, 4 bit, group size 64, no per-layer overrides — the same recipe as LiquidAI/LFM2.5-350M-MLX-4bit.
Downloads · 30 days
314
37% of all-time downloads
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.safetensors200 MB · 98%
How the weights are stored.
U32354M · 100%
From the Hugging Face model README
Re-quantization of LiquidAI/LFM2.5-350M (revision 9e6c6ccf47cd318696e137d381a7ded8fe4df09f) with mlx-lm 0.31.3: affine, 4 bit, group size 64, no per-layer overrides — the same recipe as LiquidAI/LFM2.5-350M-MLX-4bit.
The one difference: this checkpoint stores quantization scales and biases in bfloat16, while the official MLX quant stores them in float32. Published so cross-engine benchmarks compare engines under one activation dtype.
Reproduce:
mlx_lm.convert --hf-path LiquidAI/LFM2.5-350M -q --q-bits 4 --q-group-size 64