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

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  
Qwen2 0.5B Instruct Sorah (HirCoir/Qwen2-0.5B-Instruct-Sorah)

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Qwen2 0.5B Instruct Sorah Parameters and Internals

LLM NameQwen2 0.5B Instruct Sorah
RepositoryOpen on ๐Ÿค— 
Base Model(s)  Qwen2 0.5B Instruct   Qwen/Qwen2-0.5B-Instruct
Model Size0.5b
Required VRAM1 GB
Updated2024-06-24
MaintainerHirCoir
Model Typeqwen2
Instruction-BasedYes
Model Files  1 GB
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Initializer Range0.02
Torch Data Typefloat16
Errorsreplace

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801