What are the hardware requirements for RakutenAI 2.0 Mini?

RakutenAI 2.0 Mini requires approximately 3.1 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 and how large is it?

RakutenAI 2.0 Mini is developed by Rakuten, 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?

RakutenAI 2.0 Mini 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 by Rakuten — VRAM 3.1GB, 128K context

Name: RakutenAI 2.0 Mini
Author: Rakuten

RakutenAI 2.0 Mini is an open-source language model by Rakuten. Features: 1.5b LLM, VRAM: 3.1GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.17.

En Ja Mistral Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Rakuten/RakutenAI-2.0-mini

RakutenAI 2.0 Mini Parameters and Internals

LLM Name	RakutenAI 2.0 Mini
Repository 🤗	https://huggingface.co/Rakuten/RakutenAI-2.0-mini
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-07-29
Maintainer	Rakuten
Model Type	mistral
Model Files	3.1 GB
Supported Languages	en ja
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.39.3
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	48000
Torch Data Type	bfloat16

Rank the RakutenAI 2.0 Mini capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Quantized Models of the RakutenAI 2.0 Mini

Model	Likes	Downloads	VRAM
RakutenAI 2.0 Mini MLX 4bit	1	24	0 GB
RakutenAI 2.0 Mini MLX 8bit	1	22	1 GB

Best Alternatives to RakutenAI 2.0 Mini

Best Alternatives	Context / RAM	Downloads	Likes
RakutenAI 2.0 Mini Instruct	128K / 3.1 GB	356	31
... 1.5B Instruct V0.2 Cosmo 100K	32K / 3.1 GB	9	1
BADMISTRAL 1.5B	8K / 3.1 GB	15	17
RakutenAI 2.0 Mini MLX 4bit	128K / 0.9 GB	24	1
RakutenAI 2.0 Mini MLX 8bit	128K / 1.6 GB	22	1

Note: green Score (e.g. "73.2") means that the model is better than Rakuten/RakutenAI-2.0-mini.