Dragon Yi 6B V0 GGUF by TheBloke

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Base model:llmware/dragon-yi-6... Base model:quantized:llmware/d...   Gguf   Quantized   Region:us   Yi

Dragon Yi 6B V0 GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dragon Yi 6B V0 GGUF (TheBloke/dragon-yi-6B-v0-GGUF)

Dragon Yi 6B V0 GGUF Parameters and Internals

Model Type 
yi
Use Cases 
Areas:
enterprise automation, knowledge-intensive industries, financial services, legal and regulatory industries
Primary Use Cases:
question-answering, key-value extraction, basic summarization
Additional Notes 
Any model can provide inaccurate or incomplete information, and should be used with safeguards and fact-checking.
Input Output 
Input Format:
: {prompt} :
Performance Tips:
Wrap inference entries with ': ' before and ': ' after the prompt.
LLM NameDragon Yi 6B V0 GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/dragon-yi-6B-v0-GGUF 
Model NameDragon Yi 6B v0
Model Creatorllmware
Base Model(s)  Dragon Yi 6B V0   llmware/dragon-yi-6b-v0
Model Size6b
Required VRAM2.6 GB
Updated2024-12-22
MaintainerTheBloke
Model Typeyi
Model Files  2.6 GB   3.2 GB   3.0 GB   2.7 GB   3.5 GB   3.7 GB   3.5 GB   4.2 GB   4.3 GB   4.2 GB   5.0 GB   6.4 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseother

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/dragon-yi-6B-v0-GGUF.

Rank the Dragon Yi 6B V0 GGUF 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 v20241217