8-bit Open on Hugging Face
Parameters
1.0T
Weights (est.)
≈ 1091 GB
Mac memory (est.)
> 512 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/Kimi-K2.7-Code-mlx-DQ3_K_M-q8 --prompt "Hello"
Details
- Base model
- moonshotai/Kimi-K2.7-Code (quantized) · Kimi K2.7 Code on the radar →
- Vendor
- Moonshot · Kimi
- Task
- Text generation
- Quantisation
- 8-bit
- Licence
- modified-mit
- Downloads
- 568 in the last 30 days · 11K all time · 5 likes
- Published
- 2026-06-15 · updated 2026-06-16 (4mo ago)
- Tags
- kimi_k25, feature-extraction, custom_code