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Qwen2 0.5B Instruct by unsloth

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  Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2-0.5B-Instruct 

Qwen2 0.5B Instruct Benchmarks

LLME Score: 0.20064
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Qwen2 0.5B Instruct Parameters and Internals

Model Type 
transformers
Additional Notes 
The model can be fine-tuned using Google Colab with Tesla T4 for different versions like Qwen2 7b, Qwen2 0.5b, and Qwen2 1.5b. This finetuning can be done faster and with less memory usage using Unsloth.
LLM NameQwen2 0.5B Instruct
Repository 🤗https://huggingface.co/unsloth/Qwen2-0.5B-Instruct 
Model Size0.5b
Required VRAM1 GB
Updated2025-06-09
Maintainerunsloth
Model Typeqwen2
Instruction-BasedYes
Model Files  1.0 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace
Qwen2 0.5B Instruct (unsloth/Qwen2-0.5B-Instruct)

Quantized Models of the Qwen2 0.5B Instruct

Model
Likes
Downloads
VRAM
Qwen2 0.5B Instruct Sorah01361 GB

Best Alternatives to Qwen2 0.5B Instruct

Best Alternatives
Context / RAM
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Qwen2 0.5B Abyme Merge3128K / 1.3 GB161
Qwen2 0.5B Abyme Merge2128K / 0.3 GB110
Qwen2.5 0.5B Instruct32K / 1 GB40433679
Qwen2.5 0.5B Instruct32K / 1 GB1221254328
Qwen2.5 0.5B Instruct32K / 1 GB26310910
Qwen2 0.5B Instruct32K / 1 GB149521188
Qwen2.5 Coder 0.5B Instruct32K / 1 GB5775947
...5B Instruct With Output Tokens32K / 2 GB8800
Lb Reranker 0.5B V1.032K / 1 GB127172
QwQ 0.5B32K / 1 GB4545
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2-0.5B-Instruct.

Rank the Qwen2 0.5B Instruct 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 v20241124
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