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WebSquareAI Instruct KoSOLAR 10.7B V0.5.34 by kimwooglae

 »  All LLMs  »  kimwooglae  »  WebSquareAI Instruct KoSOLAR 10.7B V0.5.34   URL Share it on

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  Autotrain compatible   En   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded

WebSquareAI Instruct KoSOLAR 10.7B V0.5.34 Benchmarks

LLME Score: 0.20351
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

WebSquareAI Instruct KoSOLAR 10.7B V0.5.34 Parameters and Internals

LLM NameWebSquareAI Instruct KoSOLAR 10.7B V0.5.34
Repository 🤗https://huggingface.co/kimwooglae/WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34 
Model Size10.7b
Required VRAM43.4 GB
Updated2024-10-18
Maintainerkimwooglae
Model Typellama
Instruction-BasedYes
Model Files  9.9 GB: 1-of-5   9.8 GB: 2-of-5   10.0 GB: 3-of-5   9.8 GB: 4-of-5   3.9 GB: 5-of-5
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size48000
Torch Data Typefloat32
WebSquareAI Instruct KoSOLAR 10.7B V0.5.34 (kimwooglae/WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34)

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Note: green Score (e.g. "73.2") means that the model is better than kimwooglae/WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34.

Rank the WebSquareAI Instruct KoSOLAR 10.7B V0.5.34 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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Release v2024072803
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