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RakutenAI-7B-chat-MLX-4bit

mlx-community/RakutenAI-7B-chat-MLX-4bit
4-bit Open on Hugging Face
Parameters
7.4B
Weights (est.)
≈ 4.1 GB
Mac memory (est.)
8 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-7B-chat-MLX-4bit --prompt "Hello"

Details

Base model
Rakuten/RakutenAI-7B-chat (quantized)
Vendor
Rakuten
Task
Text generation
Quantisation
4-bit
Licence
—
Downloads
27 in the last 30 days · 175 all time · 0 likes
Published
2026-03-20 · updated 2026-03-20 (7mo ago)
Languages
en, ja
Tags
mistral

Other MLX builds of Rakuten/RakutenAI-7B-chat

Build Quantisation Weights Mac memory Downloads
RakutenAI-7B-chat-MLX-4bit (this one) 4-bit ≈ 4.1 GB 8 GB+ 27
RakutenAI-7B-chat-MLX-8bit 8-bit ≈ 7.8 GB 16 GB+ 29