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Gemma-SEA-LION-v4-27B-IT-mlx-4bit

mlx-community/Gemma-SEA-LION-v4-27B-IT-mlx-4bit
Text generation · transformers
4-bit Open on Hugging Face
Parameters
27B
Weights (est.)
≈ 5.3 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-v4-27B-IT-mlx-4bit --prompt "Hello"

Details

Base model
google/gemma-3-27b-it (finetune)
Vendor
Google · Gemma
Task
Text generation
Quantisation
4-bit
Licence
gemma
Downloads
24 in the last 30 days · 223 all time · 1 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
gemma3, image-text-to-text

Other MLX builds of google/gemma-3-27b-it

Build Quantisation Weights Mac memory Downloads
Gemma-SEA-LION-v4-27B-IT-mlx-4bit (this one) 4-bit ≈ 5.3 GB 8 GB+ 24
gemma-3-27b-it-4bit-DWQ 4-bit DWQ ≈ 16.0 GB 24 GB+ 53
gemma-3-27b-it-qat-bf16 bf16 — — 40