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SuperNova-Medius-4bit

mlx-community/SuperNova-Medius-4bit
Text generation · transformers
4-bit Open on Hugging Face
Parameters
15B
Weights (est.)
≈ 8.3 GB
Mac memory (est.)
16 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/SuperNova-Medius-4bit --prompt "Hello"

Details

Base model
arcee-ai/SuperNova-Medius (quantized)
Vendor
arcee-ai
Task
Text generation
Quantisation
4-bit
Licence
apache-2.0
Downloads
38 in the last 30 days · 548 all time · 1 likes
Published
2024-10-17 · updated 2024-10-17 (2y ago)
Tags
qwen2, mergekit, merge, model-index

Other MLX builds of arcee-ai/SuperNova-Medius

Build Quantisation Weights Mac memory Downloads
SuperNova-Medius-4bit (this one) 4-bit ≈ 8.3 GB 16 GB+ 38
SuperNova-Medius-8bit 8-bit ≈ 15.7 GB 24 GB+ 32
SuperNova-Medius-bf16 bf16 ≈ 29.5 GB 48 GB+ 38