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Komodo 7B Chat by jan-hq

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  Autotrain compatible   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jan-hq/komodo-7b-chat 

Komodo 7B Chat Benchmarks

ARC: 51.45 vs 96.7 (so35)-46.8%
HellaSwag: 77.05 vs 95.3 (gpt4)-19.2%
MMLU: 44.63 vs 88.3 (so35)-49.5%
TruthfulQA: 40.05 vs 59 (gpt4)-32.1%
WinoGrande: 74.43 vs 87.5 (gpt4)-14.9%
GSM8K: 4.85 vs 96.4 (so35)-95%
LLME Score: 0.17096
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Komodo 7B Chat (jan-hq/komodo-7b-chat)
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Komodo 7B Chat Parameters and Internals

Model Type 
text generation, multimodal
Use Cases 
Areas:
research, commercial applications
Supported Languages 
en (High)
Input Output 
Input Format:
Prompt template ChatML
Accepted Modalities:
text
Output Format:
text
LLM NameKomodo 7B Chat
Repository 🤗https://huggingface.co/jan-hq/komodo-7b-chat 
Model Size7b
Required VRAM13.6 GB
Updated2025-09-23
Maintainerjan-hq
Model Typellama
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size35008
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than jan-hq/komodo-7b-chat.

Rank the Komodo 7B Chat 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 v20241124
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