Qwen2 0.5B Instruct Sorah by HirCoir

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  Arxiv:1910.09700   4bit   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Pytorch   Quantized   Qwen2   Region:us   Sft   Trl   Unsloth

Qwen2 0.5B Instruct Sorah Benchmarks

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 Sorah Parameters and Internals

LLM NameQwen2 0.5B Instruct Sorah
Repository ๐Ÿค—https://huggingface.co/HirCoir/Qwen2-0.5B-Instruct-Sorah 
Base Model(s)  unsloth/Qwen2-0.5B-Instruct   unsloth/Qwen2-0.5B-Instruct
Model Size0.5b
Required VRAM1 GB
Updated2024-09-07
MaintainerHirCoir
Model Typeqwen2
Instruction-BasedYes
Model Files  1.0 GB
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace
Qwen2 0.5B Instruct Sorah (HirCoir/Qwen2-0.5B-Instruct-Sorah)

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Note: green Score (e.g. "73.2") means that the model is better than HirCoir/Qwen2-0.5B-Instruct-Sorah.

Rank the Qwen2 0.5B Instruct Sorah 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803