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RAI 3.0 R1 VECTOR by Local-Novel-LLM-project

By Local-Novel-LLM-project · 71 downloads

RAI 3.0 R1 VECTOR is an open-source language model by Local-Novel-LLM-project. Features: 684.5b LLM, VRAM: 184.7GB, Context: 160K, License: apache-2.0, LLM Explorer Score: 0.23.

Base model:quantized:rakuten/r... Base model:rakuten/rakutenai-3...   Conversational   Custom code   Deepseek-r1   Deepseek v3   En   Endpoints compatible   Fp8   Ja   Japanese   Multilingual   Rakutenai   Region:us   Safetensors   Sharded   Task-vector-merging   Tensorflow

RAI 3.0 R1 VECTOR Parameters and Internals

LLM NameRAI 3.0 R1 VECTOR
Repository πŸ€—https://huggingface.co/Local-Novel-LLM-project/RAI-3.0-R1-VECTOR 
Base Model(s)  DeepSeek R1 0528   Rakuten/RakutenAI-3.0   DeepSeek V3.0324   deepseek-ai/DeepSeek-R1-0528   Rakuten/RakutenAI-3.0   deepseek-ai/DeepSeek-V3-0324
Model Size684.5b
Required VRAM184.7 GB
Updated2026-08-01
MaintainerLocal-Novel-LLM-project
Model Typedeepseek_v3
Model Files  5.2 GB: 1-of-163   4.3 GB: 2-of-163   4.3 GB: 3-of-163   4.3 GB: 4-of-163   4.3 GB: 5-of-163   4.4 GB: 6-of-163   4.3 GB: 7-of-163   4.3 GB: 8-of-163   4.3 GB: 9-of-163   4.3 GB: 10-of-163   4.3 GB: 11-of-163   1.3 GB: 12-of-163   4.3 GB: 13-of-163   4.3 GB: 14-of-163   4.3 GB: 15-of-163   4.3 GB: 16-of-163   4.3 GB: 17-of-163   4.3 GB: 18-of-163   4.3 GB: 19-of-163   4.3 GB: 20-of-163   4.3 GB: 21-of-163   4.3 GB: 22-of-163   4.3 GB: 23-of-163   4.3 GB: 24-of-163   4.3 GB: 25-of-163   4.3 GB: 26-of-163   4.3 GB: 27-of-163   4.3 GB: 28-of-163   4.3 GB: 29-of-163   4.3 GB: 30-of-163   4.3 GB: 31-of-163   4.3 GB: 32-of-163   4.3 GB: 33-of-163   1.8 GB: 34-of-163   4.3 GB: 35-of-163   4.3 GB: 36-of-163   4.3 GB: 37-of-163   4.3 GB: 38-of-163   4.3 GB: 39-of-163   4.3 GB: 40-of-163   4.3 GB: 41-of-163   4.3 GB: 42-of-163   4.3 GB: 43-of-163   4.3 GB: 44-of-163
Supported Languagesja en
Model ArchitectureDeepseekV3ForCausalLM
Licenseapache-2.0
Context Length163840
Model Max Length163840
Transformers Version4.46.3
Vocabulary Size129280
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Local-Novel-LLM-project/RAI-3.0-R1-VECTOR.