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Virtuoso-Medium-v2-4bit

mlx-community/Virtuoso-Medium-v2-4bit
Text generation · transformers
4-bit Open on Hugging Face
Parameters
33B
Weights (est.)
≈ 18.4 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/Virtuoso-Medium-v2-4bit --prompt "Hello"

Details

Base model
arcee-ai/Virtuoso-Medium-v2 (quantized)
Vendor
arcee-ai
Task
Text generation
Quantisation
4-bit
Licence
apache-2.0
Downloads
38 in the last 30 days · 259 all time · 0 likes
Published
2025-01-30 · updated 2025-01-30 (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 (this one) 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 bf16 ≈ 65.5 GB 96 GB+ 17