Skip to content

Virtuoso-Medium-v2-bf16

mlx-community/Virtuoso-Medium-v2-bf16
Text generation · transformers
bf16 Open on Hugging Face
Parameters
33B
Weights (est.)
≈ 65.5 GB
Mac memory (est.)
96 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/Virtuoso-Medium-v2-bf16 --prompt "Hello"

Details

Base model
arcee-ai/Virtuoso-Medium-v2 (finetune)
Vendor
arcee-ai
Task
Text generation
Quantisation
bf16
Licence
apache-2.0
Downloads
17 in the last 30 days · 190 all time · 0 likes
Published
2025-01-31 · updated 2025-01-31 (1y ago)
Tags
qwen2, mergekit, merge

Other MLX builds of arcee-ai/Virtuoso-Medium-v2

Build Quantisation Weights Mac memory Downloads
Virtuoso-Medium-v2-3bit 3-bit ≈ 14.3 GB 24 GB+ 38
Virtuoso-Medium-v2-4bit 4-bit ≈ 18.4 GB 24 GB+ 38
Virtuoso-Medium-v2-6bit 6-bit ≈ 26.6 GB 32 GB+ 29
Virtuoso-Medium-v2-8bit 8-bit ≈ 34.8 GB 48 GB+ 26
Virtuoso-Medium-v2-bf16 (this one) bf16 ≈ 65.5 GB 96 GB+ 17