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Dragon Yi 6B V0 AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:llmware/dragon-yi-6... Base model:quantized:llmware/d...   Custom code   Quantized   Region:us   Safetensors   Yi
Model Card on HF 🤗: https://huggingface.co/TheBloke/dragon-yi-6B-v0-AWQ 

Dragon Yi 6B V0 AWQ Benchmarks

LLME Score: 0.14422
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 AWQ (TheBloke/dragon-yi-6B-v0-AWQ)

Dragon Yi 6B V0 AWQ Parameters and Internals

Model Type 
Yi, text generation
Use Cases 
Areas:
enterprise automation, financial services, legal and regulatory industries
Applications:
question-answering, key-value extraction, basic summarization
Primary Use Cases:
fact-based question-answering over complex business and legal documents
Additional Notes 
The model has been quantized using AWQ method, supporting faster inference.
Supported Languages 
English (native)
Training Details 
Data Sources:
wikitext
Methodology:
RAG-instruct trained
Context Length:
4096
Hardware Used:
Massed Compute hardware
Input Output 
Input Format:
Description / Question format with ':' delimiters
Accepted Modalities:
text
Output Format:
fact-based response
LLM NameDragon Yi 6B V0 AWQ
Repository 🤗https://huggingface.co/TheBloke/dragon-yi-6B-v0-AWQ 
Model NameDragon Yi 6B v0
Model Creatorllmware
Base Model(s)  Dragon Yi 6B V0   llmware/dragon-yi-6b-v0
Model Size6b
Required VRAM3.9 GB
Updated2025-03-12
MaintainerTheBloke
Model Typeyi
Model Files  3.9 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureYiForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.35.0
Tokenizer ClassYiTokenizer
Vocabulary Size64000
Torch Data Typebfloat16

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

Rank the Dragon Yi 6B V0 AWQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227
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