Qwen2.5 Coder 0.5B Instruct Bnb 4bit by unsloth

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Qwen2.5 Coder 0.5B Instruct Bnb 4bit is an open-source language model by unsloth. Features: 0.5b LLM, VRAM: 0.5GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.19.

  Arxiv:2407.10671   Arxiv:2409.12186   4-bit   4bit   Autotrain compatible Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-coder-...   Bitsandbytes   Code   Codegen   Codeqwen   Conversational   En   Endpoints compatible   Instruct   Quantized   Qwen   Qwen-coder   Qwen2   Region:us   Safetensors   Unsloth

Qwen2.5 Coder 0.5B Instruct Bnb 4bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 Coder 0.5B Instruct Bnb 4bit (unsloth/Qwen2.5-Coder-0.5B-Instruct-bnb-4bit)
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Qwen2.5 Coder 0.5B Instruct Bnb 4bit Parameters and Internals

LLM NameQwen2.5 Coder 0.5B Instruct Bnb 4bit
Repository ๐Ÿค—https://huggingface.co/unsloth/Qwen2.5-Coder-0.5B-Instruct-bnb-4bit 
Base Model(s)  Qwen/Qwen2.5-Coder-0.5B-Instruct   Qwen/Qwen2.5-Coder-0.5B-Instruct
Model Size0.5b
Required VRAM0.5 GB
Updated2025-10-19
Maintainerunsloth
Model Typeqwen2
Instruction-BasedYes
Model Files  0.5 GB
Supported Languagesen
Quantization Type4bit
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2.5-Coder-0.5B-Instruct-bnb-4bit.

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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