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SEMIKONG 70B by pentagoniac

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/pentagoniac/SEMIKONG-70B 

SEMIKONG 70B Benchmarks

LLME Score: 0.22533
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SEMIKONG 70B (pentagoniac/SEMIKONG-70B)

SEMIKONG 70B Parameters and Internals

LLM NameSEMIKONG 70B
Repository 🤗https://huggingface.co/pentagoniac/SEMIKONG-70B 
Model Size70b
Required VRAM141.1 GB
Updated2025-02-05
Maintainerpentagoniac
Model Typellama
Instruction-BasedYes
Model Files  7.5 GB: 1-of-19   7.8 GB: 2-of-19   7.6 GB: 3-of-19   7.8 GB: 4-of-19   7.6 GB: 5-of-19   7.8 GB: 6-of-19   7.6 GB: 7-of-19   7.8 GB: 8-of-19   7.6 GB: 9-of-19   7.8 GB: 10-of-19   7.6 GB: 11-of-19   7.8 GB: 12-of-19   7.6 GB: 13-of-19   7.8 GB: 14-of-19   7.6 GB: 15-of-19   7.8 GB: 16-of-19   7.6 GB: 17-of-19   7.8 GB: 18-of-19   2.6 GB: 19-of-19
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.42.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than pentagoniac/SEMIKONG-70B.

Rank the SEMIKONG 70B 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 v20241227
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