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GRPO VI Qwen2 7B RAG by AITeamVN

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Retrieval-augmented-generation   Safetensors   Sharded   Tensorflow   Vi
Model Card on HF 🤗: https://huggingface.co/AITeamVN/GRPO-VI-Qwen2-7B-RAG 

GRPO VI Qwen2 7B RAG Benchmarks

LLME Score: 0.31932
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 7B RAG (AITeamVN/GRPO-VI-Qwen2-7B-RAG)

GRPO VI Qwen2 7B RAG Parameters and Internals

LLM NameGRPO VI Qwen2 7B RAG
Repository 🤗https://huggingface.co/AITeamVN/GRPO-VI-Qwen2-7B-RAG 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2025-05-12
MaintainerAITeamVN
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesvi
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
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-Qwen2-7B-RAG.

Rank the GRPO VI Qwen2 7B 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  
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Release v20241227
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