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Qwen2.5 0.5B Instruct by unsloth

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b-i...   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Unsloth

Qwen2.5 0.5B Instruct Benchmarks

LLME Score: 0.29055
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 Instruct Parameters and Internals

LLM NameQwen2.5 0.5B Instruct
Repository 🤗https://huggingface.co/unsloth/Qwen2.5-0.5B-Instruct 
Base Model(s)  Qwen/Qwen2.5-0.5B-Instruct   Qwen/Qwen2.5-0.5B-Instruct
Model Size0.5b
Required VRAM1 GB
Updated2024-10-04
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<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace
Qwen2.5 0.5B Instruct (unsloth/Qwen2.5-0.5B-Instruct)

Best Alternatives to Qwen2.5 0.5B Instruct

Best Alternatives
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Qwen2 0.5B Abyme Merge3128K / 1.3 GB70
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Qwen2.5 0.5B Instruct32K / 1 GB4833150
Qwen2 0.5B Instruct32K / 1 GB278170155
Replete LLM V2.5 Qwen 0.5B32K / 1.3 GB1802
Qwen2.5 0.5B Test Ft32K / 1 GB993
Qwen2 0.5B DPO32K / 2 GB562
DPO Qwen232K / 2 GB322
Qwen2.5 0.5B Instruct32K /  GB322
Qwama 0.5B Instruct32K / 0.9 GB119213
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2.5-0.5B-Instruct.

Rank the Qwen2.5 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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