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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

Qwen2 0.5B Instruct Benchmarks

LLME Score: 0.23805
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen2 0.5B Instruct Parameters and Internals

LLM NameQwen2 0.5B Instruct
Repository 🤗https://huggingface.co/unsloth/Qwen2-0.5B-Instruct 
Model Size0.5b
Required VRAM1 GB
Updated2024-10-18
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 Sorah051 GB

Best Alternatives to Qwen2 0.5B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2 0.5B Abyme Merge3128K / 1.3 GB60
Qwen2 0.5B Abyme Merge2128K / 0.3 GB60
Qwen2.5 0.5B Instruct32K / 1 GB17473976
Qwen2 0.5B Instruct32K / 1 GB294370156
Reasoning 0.5B32K / 1 GB135423
Vikhr Qwen 2.5 0.5B Instruct32K / 1 GB5306
Qwen2.5 0.5B Instruct32K / 1 GB17951
Qwen2.5 0.5B Test Ft32K / 1 GB3954
Replete LLM V2.5 Qwen 0.5B32K / 1.3 GB2022
...n2.5 0.5B Instruct Abliterated32K /  GB300
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 v2024072803
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