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GenAI Llama2 Ko En Instruct 20B V1 by 42MARU

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  Autotrain compatible   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/42MARU/GenAI-llama2-ko-en-instruct-20B-v1 

GenAI Llama2 Ko En Instruct 20B V1 Benchmarks

LLME Score: 0.13905
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GenAI Llama2 Ko En Instruct 20B V1 (42MARU/GenAI-llama2-ko-en-instruct-20B-v1)

GenAI Llama2 Ko En Instruct 20B V1 Parameters and Internals

Additional Notes 
This model is in an experimental stage, indicating that it may still undergo active development and testing phases. It might not be fully optimized or stable for production use.
LLM NameGenAI Llama2 Ko En Instruct 20B V1
Repository 🤗https://huggingface.co/42MARU/GenAI-llama2-ko-en-instruct-20B-v1 
Model Size20b
Required VRAM40.4 GB
Updated2025-03-12
Maintainer42MARU
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-5   9.9 GB: 2-of-5   10.0 GB: 3-of-5   10.0 GB: 4-of-5   0.5 GB: 5-of-5
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size46336
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than 42MARU/GenAI-llama2-ko-en-instruct-20B-v1.

Rank the GenAI Llama2 Ko En Instruct 20B V1 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 v20241227
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