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RakutenAI-2.0-mini-instruct-4bit

mlx-community/RakutenAI-2.0-mini-instruct-4bit
Uncategorised · mlx
4-bit Open on Hugging Face
Parameters
1.5B
Weights (est.)
≈ 863 MB
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.

Details

Base model
Rakuten/RakutenAI-2.0-mini-instruct (quantized)
Vendor
Rakuten
Task
Uncategorised
Quantisation
4-bit
Licence
apache-2.0
Downloads
24 in the last 30 days · 486 all time · 0 likes
Published
2025-02-19 · updated 2025-02-19 (1y ago)
Languages
en, ja
Tags
mistral

Other MLX builds of Rakuten/RakutenAI-2.0-mini-instruct

Build Quantisation Weights Mac memory Downloads
RakutenAI-2.0-mini-instruct-4bit (this one) 4-bit ≈ 863 MB 8 GB+ 24
RakutenAI-2.0-mini-instruct-8bit 8-bit ≈ 1.6 GB 8 GB+ 19