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RakutenAI 3.0 MLX 4bit by mlx-community

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RakutenAI 3.0 MLX 4bit is an open-source language model by mlx-community. Features: 671b LLM, VRAM: 198.7GB, Context: 160K, License: apache-2.0, Quantized, LLM Explorer Score: 0.24.

  4-bit   4bit Base model:quantized:rakuten/r... Base model:rakuten/rakutenai-3...   Conversational   Deepseek v3   En   Ja   Mlx   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/RakutenAI-3.0-MLX-4bit 

RakutenAI 3.0 MLX 4bit Benchmarks

LLME Score: 0.23643
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RakutenAI 3.0 MLX 4bit (mlx-community/RakutenAI-3.0-MLX-4bit)
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RakutenAI 3.0 MLX 4bit Parameters and Internals

LLM NameRakutenAI 3.0 MLX 4bit
Repository 🤗https://huggingface.co/mlx-community/RakutenAI-3.0-MLX-4bit 
Base Model(s)  Rakuten/RakutenAI-3.0   Rakuten/RakutenAI-3.0
Model Size671b
Required VRAM198.7 GB
Updated2026-06-16
Maintainermlx-community
Model Typedeepseek_v3
Model Files  3.7 GB: 1-of-88   4.4 GB: 2-of-88   4.2 GB: 3-of-88   4.4 GB: 4-of-88   4.4 GB: 5-of-88   4.2 GB: 6-of-88   4.4 GB: 7-of-88   4.4 GB: 8-of-88   4.2 GB: 9-of-88   4.4 GB: 10-of-88   4.4 GB: 11-of-88   4.2 GB: 12-of-88   4.4 GB: 13-of-88   4.4 GB: 14-of-88   4.2 GB: 15-of-88   4.4 GB: 16-of-88   4.4 GB: 17-of-88   4.2 GB: 18-of-88   4.4 GB: 19-of-88   4.4 GB: 20-of-88   4.2 GB: 21-of-88   4.4 GB: 22-of-88   4.4 GB: 23-of-88   4.2 GB: 24-of-88   4.4 GB: 25-of-88   4.4 GB: 26-of-88   4.2 GB: 27-of-88   4.4 GB: 28-of-88   4.4 GB: 29-of-88   4.2 GB: 30-of-88   4.4 GB: 31-of-88   4.4 GB: 32-of-88   4.2 GB: 33-of-88   4.4 GB: 34-of-88   4.4 GB: 35-of-88   4.2 GB: 36-of-88   4.4 GB: 37-of-88   4.4 GB: 38-of-88   4.2 GB: 39-of-88   4.4 GB: 40-of-88   4.4 GB: 41-of-88   4.2 GB: 42-of-88   4.4 GB: 43-of-88   4.4 GB: 44-of-88   4.2 GB: 45-of-88   4.4 GB: 46-of-88
Supported Languagesen ja
Quantization Type4bit
Model ArchitectureDeepseekV3ForCausalLM
Licenseapache-2.0
Context Length163840
Model Max Length163840
Transformers Version4.57.1
Vocabulary Size129280
Torch Data Typebfloat16

Best Alternatives to RakutenAI 3.0 MLX 4bit

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Context / RAM
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DeepSeek V3.1 8bit160K / 177.8 GB23323
DeepSeek V3.1 Terminus 4bit160K / 190.1 GB612
DeepSeek V3.1 Base 4bit160K / 190.1 GB813
DeepSeek R1 0528 5bit160K / 231 GB1023
DeepSeek V3 AWQ160K / 351.9 GB47135
R1 1776160K / 243.4 GB8552324
DeepSeek Prover V2 671B160K / 189 GB603831
Cogito 671B V2.1160K / 219.9 GB8529
MAI DS R1160K / 171.7 GB233302
DeepSeek Prover V2 671B GGUF160K / 250 GB29338
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/RakutenAI-3.0-MLX-4bit.

Rank the RakutenAI 3.0 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  
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