What are the hardware requirements for RakutenAI 2.0 Mini MLX 4bit?

RakutenAI 2.0 Mini MLX 4bit requires approximately 0.9 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed RakutenAI 2.0 Mini MLX 4bit and how large is it?

RakutenAI 2.0 Mini MLX 4bit is developed by mlx-community, a model with 1.5b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate RakutenAI 2.0 Mini MLX 4bit?

RakutenAI 2.0 Mini MLX 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

RakutenAI 2.0 Mini MLX 4bit by mlx-community — VRAM 0.9GB, 128K context

Name: RakutenAI 2.0 Mini MLX 4bit
Author: mlx-community

RakutenAI 2.0 Mini MLX 4bit is an open-source language model by mlx-community. Features: 1.5b LLM, VRAM: 0.9GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.22.

4-bit 4bit Base model:quantized:rakuten/r... Base model:rakuten/rakutenai-2... Conversational En Ja Mistral Mlx Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mlx-community/RakutenAI-2.0-mini-MLX-4bit

RakutenAI 2.0 Mini MLX 4bit Parameters and Internals

LLM Name	RakutenAI 2.0 Mini MLX 4bit
Repository 🤗	https://huggingface.co/mlx-community/RakutenAI-2.0-mini-MLX-4bit
Base Model(s)	Rakuten/RakutenAI-2.0-mini Rakuten/RakutenAI-2.0-mini
Model Size	1.5b
Required VRAM	0.9 GB
Updated	2026-09-17
Maintainer	mlx-community
Model Type	mistral
Model Files	0.9 GB
Supported Languages	en ja
Quantization Type	4bit
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.39.3
Tokenizer Class	TokenizersBackend
Padding Token	</s>
Vocabulary Size	48000
Torch Data Type	bfloat16

Rank the RakutenAI 2.0 Mini MLX 4bit capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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