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KIT 5.8B by Junmai

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  Autotrain compatible   Endpoints compatible   Gpt neox   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Junmai/KIT-5.8b 

KIT 5.8B Benchmarks

LLME Score: 0.18708
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
KIT 5.8B (Junmai/KIT-5.8b)

KIT 5.8B Parameters and Internals

Model Type 
Instruction-tuned, Fine-tuned
Use Cases 
Areas:
Research, Commercial Applications
Limitations:
Specific to Korean language tasks
Additional Notes 
KIT-19 is designed to take advantage of the intricacies of the Korean language and culture.
Supported Languages 
Korean (High)
LLM NameKIT 5.8B
Repository 🤗https://huggingface.co/Junmai/KIT-5.8b 
Model Size5.8b
Required VRAM23.5 GB
Updated2024-12-21
MaintainerJunmai
Model Typegpt_neox
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   3.7 GB: 3-of-3
Model ArchitectureGPTNeoXForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.32.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|endoftext|>
Vocabulary Size30080
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than Junmai/KIT-5.8b.

Rank the KIT 5.8B 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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