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Llm Jp 13B V2.0 by llm-jp

 »  All LLMs  »  llm-jp  »  Llm Jp 13B V2.0   URL Share it on

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  Autotrain compatible   En   Ja   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/llm-jp/llm-jp-13b-v2.0 

Llm Jp 13B V2.0 Benchmarks

LLME Score: 0.19914
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llm Jp 13B V2.0 (llm-jp/llm-jp-13b-v2.0)

Llm Jp 13B V2.0 Parameters and Internals

Model Type 
Transformer-based Language Model, text-generation
Use Cases 
Areas:
research, commercial applications
Limitations:
The models have not been tuned to ensure outputs align with human intent and safety considerations.
Considerations:
The models are still in the early stages of development.
Supported Languages 
en (fluent), ja (fluent)
Training Details 
Data Sources:
Japanese Wikipedia, Common Crawl, English Wikipedia, The Pile, The Stack
Data Volume:
256 billion tokens
Context Length:
4096
Hardware Used:
128 A100 40GB GPUs, 8 A100 40GB GPUs
Model Architecture:
Transformer-based
Input Output 
Input Format:
text prompt
Accepted Modalities:
text
Output Format:
text
LLM NameLlm Jp 13B V2.0
Repository 🤗https://huggingface.co/llm-jp/llm-jp-13b-v2.0 
Model Size13b
Required VRAM27.4 GB
Updated2025-01-19
Maintainerllm-jp
Model Typellama
Model Files  10.0 GB: 1-of-3   9.9 GB: 2-of-3   7.5 GB: 3-of-3
Supported Languagesen ja
Model ArchitectureLLaMAForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad|LLM-jp>
Vocabulary Size97024
Torch Data Typebfloat16

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Rank the Llm Jp 13B V2.0 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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