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RakutenAI-2.0-8x7B-MLX-4bit

mlx-community/RakutenAI-2.0-8x7B-MLX-4bit
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.

Run it

With mlx-lm on an Apple silicon Mac:

pip install mlx-lmmlx_lm.generate --model mlx-community/RakutenAI-2.0-8x7B-MLX-4bit --prompt "Hello"

Details

Base model
Rakuten/RakutenAI-2.0-8x7B (quantized)
Vendor
Rakuten
Task
Text generation
Quantisation
4-bit
Licence
apache-2.0
Downloads
49 in the last 30 days · 309 all time · 0 likes
Published
2026-03-20 · updated 2026-03-20 (7mo ago)
Languages
en, ja
Tags
mixtral

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

Build Quantisation Weights Mac memory Downloads
RakutenAI-2.0-8x7B-MLX-4bit (this one) 4-bit ≈ 26.3 GB 32 GB+ 49
RakutenAI-2.0-8x7B-MLX-8bit 8-bit ≈ 49.8 GB 64 GB+ 29