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K2-Horizon-3.7B-8bit

mlx-community/K2-Horizon-3.7B-8bit
8-bit Open on Hugging Face
Parameters
5.1B
Weights (est.)
≈ 5.4 GB
Mac memory (est.)
16 GB+

Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.

Run it

With mlx-lm on an Apple silicon Mac:

pip install mlx-lmmlx_lm.generate --model mlx-community/K2-Horizon-3.7B-8bit --prompt "Hello"

Details

Base model
IFM/K2-Horizon-3.7B (quantized)
Vendor
IFM
Task
Text generation
Quantisation
8-bit
Licence
apache-2.0
Downloads
138 in the last 30 days · 270 all time · 0 likes
Published
2026-09-29 · updated 2026-09-30 (1mo ago)
Tags
k2_horizon, quantized, dense, k2-horizon

Other MLX builds of IFM/K2-Horizon-3.7B

Build Quantisation Weights Mac memory Downloads
K2-Horizon-3.7B-4bit 4-bit ≈ 2.8 GB 8 GB+ 584
K2-Horizon-3.7B-8bit (this one) 8-bit ≈ 5.4 GB 16 GB+ 138
K2-Horizon-3.7B-bf16 bf16 ≈ 10.1 GB 16 GB+ 121