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Qwen2.5 0.5B Open R1 Distill by herman66

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Qwen2.5 0.5B Open R1 Distill is an open-source language model by herman66. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.17.

  Ara Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b-i...   Conversational Dataset:huggingfaceh4/bespoke-...   Deu   Endpoints compatible   Eng   Fra   Generated from trainer   Instruct   Ita   Jpn   Kor   Open-r1   Por   Qwen2   Region:us   Rus   Safetensors   Sft   Spa   Tha   Trl   Vie   Zho
Model Card on HF 🤗: https://huggingface.co/herman66/Qwen2.5-0.5B-Open-R1-Distill 

Qwen2.5 0.5B Open R1 Distill Benchmarks

LLME Score: 0.17464
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 0.5B Open R1 Distill (herman66/Qwen2.5-0.5B-Open-R1-Distill)
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Qwen2.5 0.5B Open R1 Distill Parameters and Internals

LLM NameQwen2.5 0.5B Open R1 Distill
Repository 🤗https://huggingface.co/herman66/Qwen2.5-0.5B-Open-R1-Distill 
Model NameQwen2.5-0.5B-Open-R1-Distill
Base Model(s)  Qwen/Qwen2.5-0.5B-Instruct   Qwen/Qwen2.5-0.5B-Instruct
Model Size0.5b
Required VRAM1 GB
Updated2026-04-23
Maintainerherman66
Model Typeqwen2
Instruction-BasedYes
Model Files  1.0 GB   0.0 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.49.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than herman66/Qwen2.5-0.5B-Open-R1-Distill.

Rank the Qwen2.5 0.5B Open R1 Distill 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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