OmniLing V1 12B Experimental by WoonaAI

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OmniLing V1 12B Experimental Benchmarks

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

OmniLing V1 12B Experimental Parameters and Internals

LLM NameOmniLing V1 12B Experimental
Repository ๐Ÿค—https://huggingface.co/WoonaAI/OmniLing-V1-12b-experimental 
Base Model(s)  Mistral Nemo Instruct 2407   mistralai/Mistral-Nemo-Instruct-2407
Model Size12b
Required VRAM24.5 GB
Updated2024-10-16
MaintainerWoonaAI
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Supported Languagesru en
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length1024000
Model Max Length1024000
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16
OmniLing V1 12B Experimental (WoonaAI/OmniLing-V1-12b-experimental)

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Note: green Score (e.g. "73.2") means that the model is better than WoonaAI/OmniLing-V1-12b-experimental.

Rank the OmniLing V1 12B Experimental 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