Qwen 2.5 7B Simple RL V7 by aidando73

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Qwen 2.5 7B Simple RL V7 is an open-source language model by aidando73. Features: 7b LLM, VRAM: 15.2GB, Context: 4K, LLM Explorer Score: 0.19.

  Arxiv:2402.03300   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-math-7...   Conversational   Endpoints compatible   Generated from trainer   Grpo   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Trl

Qwen 2.5 7B Simple RL V7 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen 2.5 7B Simple RL V7 (aidando73/Qwen-2.5-7B-Simple-RL-v7)
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Qwen 2.5 7B Simple RL V7 Parameters and Internals

LLM NameQwen 2.5 7B Simple RL V7
Repository ๐Ÿค—https://huggingface.co/aidando73/Qwen-2.5-7B-Simple-RL-v7 
Model NameQwen-2.5-7B-Simple-RL-v7
Base Model(s)  Qwen/Qwen2.5-Math-7B   Qwen/Qwen2.5-Math-7B
Model Size7b
Required VRAM15.2 GB
Updated2025-09-21
Maintaineraidando73
Model Typeqwen2
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   0.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.49.0
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 aidando73/Qwen-2.5-7B-Simple-RL-v7.

Rank the Qwen 2.5 7B Simple RL V7 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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Release v20260328a