Komodo 7B V1.0.0 by TeamUNIVA

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  Arxiv:1910.09700   Autotrain compatible   En   Endpoints compatible   Ko   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Komodo 7B V1.0.0 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Komodo 7B V1.0.0 (TeamUNIVA/Komodo_7B_v1.0.0)
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Komodo 7B V1.0.0 Parameters and Internals

Use Cases 
Primary Use Cases:
chatbot
Considerations:
Users should be aware of the risks, biases, and limitations of the model.
Additional Notes 
More information needed in several sections for comprehensive details.
Supported Languages 
ko (Korean), en (English)
LLM NameKomodo 7B V1.0.0
Repository ๐Ÿค—https://huggingface.co/TeamUNIVA/Komodo_7B_v1.0.0 
Model Size7b
Required VRAM28.9 GB
Updated2025-09-21
MaintainerTeamUNIVA
Model Typemistral
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.2 GB: 6-of-6
Supported Languagesko en
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than TeamUNIVA/Komodo_7B_v1.0.0.

Rank the Komodo 7B V1.0.0 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 v20241124