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GRPO VI Qwen2 1.5B RAG by AITeamVN

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GRPO VI Qwen2 1.5B RAG is an open-source language model by AITeamVN. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, LLM Explorer Score: 0.19.

  Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/AITeamVN/GRPO-VI-Qwen2-1.5B-RAG 

GRPO VI Qwen2 1.5B RAG Benchmarks

LLME Score: 0.19414
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GRPO VI Qwen2 1.5B RAG (AITeamVN/GRPO-VI-Qwen2-1.5B-RAG)
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GRPO VI Qwen2 1.5B RAG Parameters and Internals

LLM NameGRPO VI Qwen2 1.5B RAG
Repository 🤗https://huggingface.co/AITeamVN/GRPO-VI-Qwen2-1.5B-RAG 
Model Size1.5b
Required VRAM3.1 GB
Updated2025-11-06
MaintainerAITeamVN
Model Typeqwen2
Model Files  3.1 GB
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than AITeamVN/GRPO-VI-Qwen2-1.5B-RAG.

Rank the GRPO VI Qwen2 1.5B RAG 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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