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Qwen 7B Review ICLR GRPO UR by pawin205

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Qwen 7B Review ICLR GRPO UR is an open-source language model by pawin205. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, LLM Explorer Score: 0.19.

  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/pawin205/Qwen-7B-Review-ICLR-GRPO-UR 

Qwen 7B Review ICLR GRPO UR Benchmarks

LLME Score: 0.19326
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen 7B Review ICLR GRPO UR (pawin205/Qwen-7B-Review-ICLR-GRPO-UR)
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Qwen 7B Review ICLR GRPO UR Parameters and Internals

LLM NameQwen 7B Review ICLR GRPO UR
Repository 🤗https://huggingface.co/pawin205/Qwen-7B-Review-ICLR-GRPO-UR 
Model Size7b
Required VRAM15.2 GB
Updated2025-10-03
Maintainerpawin205
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
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.52.0.dev0
Tokenizer ClassLlamaTokenizerFast
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size152064
Torch Data Typebfloat16

Best Alternatives to Qwen 7B Review ICLR GRPO UR

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Preview986K / 15.2 GB100
Qwen2.5 7B Instruct 1M986K / 15.4 GB32350369
Hush Qwen2.5 7B V1.1986K / 15.2 GB191
Hush Qwen2.5 7B V1.2986K / 15.2 GB31
Hush Qwen2.5 7B V1.4986K / 15.2 GB91
Hush Qwen2.5 7B Preview986K / 15.2 GB50
Hush Qwen2.5 7B V1.3986K / 15.2 GB182
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB172
Qwen 2.5 7B Exp Sce986K / 15.2 GB72
Qwen2.5 7B MixStock V0.1986K / 15.2 GB113
Note: green Score (e.g. "73.2") means that the model is better than pawin205/Qwen-7B-Review-ICLR-GRPO-UR.

Rank the Qwen 7B Review ICLR GRPO UR 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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