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RStar2 Agent 14B by rstar2-reproduce

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RStar2 Agent 14B is an open-source language model by rstar2-reproduce. Features: 14b LLM, VRAM: 29.5GB, Context: 32K, License: mit, LLM Explorer Score: 0.22.

  Arxiv:2508.20722   Agentic-reasoning   Autotrain compatible   Conversational   En   Endpoints compatible   Math-reasoning   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Tool-use   Zh
Model Card on HF 🤗: https://huggingface.co/rstar2-reproduce/rStar2-Agent-14B 

RStar2 Agent 14B Benchmarks

LLME Score: 0.2204
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RStar2 Agent 14B (rstar2-reproduce/rStar2-Agent-14B)
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RStar2 Agent 14B Parameters and Internals

LLM NameRStar2 Agent 14B
Repository 🤗https://huggingface.co/rstar2-reproduce/rStar2-Agent-14B 
Model Size14b
Required VRAM29.5 GB
Updated2025-09-04
Maintainerrstar2-reproduce
Model Typeqwen3
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   5.0 GB: 4-of-6   4.9 GB: 5-of-6   4.7 GB: 6-of-6
Supported Languagesen zh
Model ArchitectureQwen3ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.53.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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...JA Qwen3 14B Agentic 256K V0.1256K / 29.5 GB147
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...0528DistillQwen 14B V27.3 200K195K / 29.5 GB05
...uct 21B Brainstorm20x 128K Ctx128K / 84.1 GB80
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MiroThinker 14B DPO V0.264K / 29.7 GB286
UIGEN T3 14B Preview40K / 29.5 GB1522
Qwen3 14B40K / 29.7 GB1734158401
Qwen3 14B Instruct40K / 29.7 GB11881512
Supertron1 14B40K / 9.9 GB20765
Note: green Score (e.g. "73.2") means that the model is better than rstar2-reproduce/rStar2-Agent-14B.

Rank the RStar2 Agent 14B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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