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Qwen 0.5B Code Reasoning V1 by AdithyaSK

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Qwen 0.5B Code Reasoning V1 is an open-source language model by AdithyaSK. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, LLM Explorer Score: 0.17.

  Arxiv:1910.09700   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/AdithyaSK/Qwen-0.5b-Code-Reasoning-v1 

Qwen 0.5B Code Reasoning V1 Benchmarks

LLME Score: 0.17399
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen 0.5B Code Reasoning V1 (AdithyaSK/Qwen-0.5b-Code-Reasoning-v1)
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Qwen 0.5B Code Reasoning V1 Parameters and Internals

LLM NameQwen 0.5B Code Reasoning V1
Repository 🤗https://huggingface.co/AdithyaSK/Qwen-0.5b-Code-Reasoning-v1 
Model Size0.5b
Required VRAM1 GB
Updated2026-06-06
MaintainerAdithyaSK
Model Typeqwen2
Model Files  1.0 GB
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 AdithyaSK/Qwen-0.5b-Code-Reasoning-v1.

Rank the Qwen 0.5B Code Reasoning V1 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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