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gemma-2-27b-it-bf16-4bit

mlx-community/gemma-2-27b-it-bf16-4bit
Text generation · transformers
4-bit Open on Hugging Face
Parameters
27B
Weights (est.)
≈ 15.3 GB
Mac memory (est.)
24 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-2-27b-it-bf16-4bit --prompt "Hello"

Details

Base model
google/gemma-2-27b-it (quantized)
Vendor
Google · Gemma
Task
Text generation
Quantisation
4-bit
Licence
gemma
Downloads
85 in the last 30 days · 712 all time · 0 likes
Published
2024-10-22 · updated 2024-11-06 (2y ago)
Tags
gemma2

Other MLX builds of google/gemma-2-27b-it

Build Quantisation Weights Mac memory Downloads
gemma-2-27b-it-bf16-4bit (this one) 4-bit ≈ 15.3 GB 24 GB+ 85
gemma-2-27b-it-bf16-8bit 8-bit ≈ 28.9 GB 48 GB+ 64