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RakutenAI-2.0-8x7B-instruct-4bit

mlx-community/RakutenAI-2.0-8x7B-instruct-4bit
Uncategorised · mlx
4-bit Open on Hugging Face
Parameters
47B
Weights (est.)
≈ 26.3 GB
Mac memory (est.)
32 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.

Details

Base model
Rakuten/RakutenAI-2.0-8x7B-instruct (quantized)
Vendor
Rakuten
Task
Uncategorised
Quantisation
4-bit
Licence
apache-2.0
Downloads
41 in the last 30 days · 640 all time · 2 likes
Published
2025-02-19 · updated 2025-02-19 (1y ago)
Languages
en, ja
Tags
mixtral

Other MLX builds of Rakuten/RakutenAI-2.0-8x7B-instruct

Build Quantisation Weights Mac memory Downloads
RakutenAI-2.0-8x7B-instruct-4bit (this one) 4-bit ≈ 26.3 GB 32 GB+ 41
RakutenAI-2.0-8x7B-instruct — ≈ 93.7 GB 128 GB+ 15