Gemma-SEA-LION-v3-9B-IT-mlx-4bit
mlx-community/Gemma-SEA-LION-v3-9B-IT-mlx-4bit
Text generation · transformers
4-bit Open on Hugging Face
Parameters
9.2B
Weights (est.)
≈ 1.8 GB
Mac memory (est.)
8 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/Gemma-SEA-LION-v3-9B-IT-mlx-4bit --prompt "Hello"
Details
- Base model
- aisingapore/Gemma-SEA-LION-v3-9B (finetune)
- Vendor
- aisingapore
- Task
- Text generation
- Quantisation
- 4-bit
- Licence
- gemma
- Downloads
- 38 in the last 30 days · 257 all time · 0 likes
- Published
- 2025-09-10 · updated 2025-09-10 (1y ago)
- Languages
- en, zh, vi, id, th, fil, ta, ms, km, lo, my, jv, su
- Tags
- gemma2