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Vulture 40B by vilm

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Vulture 40B Benchmarks

LLME Score: 0.17627
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Vulture 40B Parameters and Internals

LLM NameVulture 40B
Repository 🤗https://huggingface.co/vilm/vulture-40b 
Model Size40b
Required VRAM81.8 GB
Updated2024-09-18
Maintainervilm
Model TypeRefinedWeb
Model Files  3.9 GB: 1-of-22   3.9 GB: 2-of-22   3.5 GB: 3-of-22   3.5 GB: 4-of-22   3.9 GB: 5-of-22   3.9 GB: 6-of-22   3.5 GB: 7-of-22   3.5 GB: 8-of-22   3.9 GB: 9-of-22   3.9 GB: 10-of-22   3.5 GB: 11-of-22   3.5 GB: 12-of-22   3.9 GB: 13-of-22   3.9 GB: 14-of-22   3.5 GB: 15-of-22   3.5 GB: 16-of-22   3.9 GB: 17-of-22   3.9 GB: 18-of-22   3.5 GB: 19-of-22   3.5 GB: 20-of-22   3.9 GB: 21-of-22   3.9 GB: 22-of-22
Supported Languagesru en de es it ja vi zh fr pt id ko
Model ArchitectureRWForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.31.0
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typebfloat16
Vulture 40B (vilm/vulture-40b)

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Note: green Score (e.g. "73.2") means that the model is better than vilm/vulture-40b.

Rank the Vulture 40B 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
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