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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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Llm Jp 13B V2.0 is an open-source language model by llm-jp. Features: 13b LLM, VRAM: 27.4GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.14.

  Deploy:azure   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: 0.13593
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)
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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
Updated2026-05-22
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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... X Alpaca 13B Native 4bit 128g0K / 7.9 GB295728
... X Alpaca 13B Native 4bit 128g0K / 8.1 GB42
Note: green Score (e.g. "73.2") means that the model is better than llm-jp/llm-jp-13b-v2.0.

Rank the Llm Jp 13B V2.0 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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