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Dragon Yi 6B V0 by llmware

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  Autotrain compatible   Custom code   Endpoints compatible   Gguf   Pytorch   Q4   Quantized   Region:us   Yi
Model Card on HF 🤗: https://huggingface.co/llmware/dragon-yi-6b-v0 

Dragon Yi 6B V0 Benchmarks

LLME Score: 0.16106
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 (llmware/dragon-yi-6b-v0)

Dragon Yi 6B V0 Parameters and Internals

Model Type 
yi
Use Cases 
Primary Use Cases:
Enterprise automation use cases in knowledge-intensive industries, such as financial services, legal and regulatory industries
Supported Languages 
languages (English)
Input Output 
Input Format:
The prompt consists of two sub-parts: 1. Text Passage Context, and 2. Specific question or instruction based on the text passage.
Output Format:
returns clear fact-based responses.
Performance Tips:
Best results achieved when inference entries are wrapped as: full_prompt = ': ' + my_prompt + '\n' + ':'
LLM NameDragon Yi 6B V0
Repository 🤗https://huggingface.co/llmware/dragon-yi-6b-v0 
Model NameYi 6B
Model Creator01-ai
Model Size6b
Required VRAM3.7 GB
Updated2024-12-22
Maintainerllmware
Model Typeyi
Model Files  3.7 GB   12.1 GB
GGUF QuantizationYes
Quantization Typeq4|gguf|q4_k
Model ArchitectureYiForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.34.0
Tokenizer ClassYiTokenizer
Vocabulary Size64000
Torch Data Typebfloat16

Quantized Models of the Dragon Yi 6B V0

Model
Likes
Downloads
VRAM
Dragon Yi 6B V0 GGUF152592 GB
Dragon Yi 6B V0 AWQ2293 GB

Best Alternatives to Dragon Yi 6B V0

Best Alternatives
Context / RAM
Downloads
Likes
...o Claude Puffin 8.0bpw H8 EXL2195K / 6.3 GB51
... Spicyboros 3.1 4.0bpw H6 EXL24K / 3.5 GB133
... Spicyboros 3.1 3.0bpw H6 EXL24K / 2.8 GB141
Yi 6B 200K GPTQ195K / 3.9 GB662
Yi 6B 200K AWQ195K / 3.9 GB592
Yi 6B 200K Airo Claude Puffin195K / 12.1 GB81
Yi 6B GPTQ4K / 3.9 GB921
Dragon Yi 6B V0 AWQ4K / 3.9 GB292
01 Ai Yi 6B Openhermes4K / 12.1 GB94
Yi 6B AWQ4K / 3.9 GB321

Rank the Dragon Yi 6B V0 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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