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Llm Jp 3 1.8B Instruct by llm-jp

 »  All LLMs  »  llm-jp  »  Llm Jp 3 1.8B Instruct   URL Share it on

  2029   
  Autotrain compatible   Conversational   En   Instruct   Ja   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/llm-jp/llm-jp-3-1.8b-instruct 

Llm Jp 3 1.8B Instruct Benchmarks

LLME Score: 0.20523
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llm Jp 3 1.8B Instruct (llm-jp/llm-jp-3-1.8b-instruct)
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Llm Jp 3 1.8B Instruct Parameters and Internals

Model Type 
text-generation
Additional Notes 
The models released here are in the early stages of R&D and have not been tuned for human intent and safety considerations.
Supported Languages 
en (English), ja (Japanese)
Training Details 
Data Sources:
Wikipedia, Common Crawl, WARP/PDF, WARP/HTML, Kaken, Dolma/CC-head, The Stack, Dolma/C4, Dolma/Reddit, Dolma/PeS2o, Dolma/Gutenberg, Dolma/Wiki
Data Volume:
2.1T tokens
Context Length:
4096
Model Architecture:
Transformer-based
Input Output 
Accepted Modalities:
text
Output Format:
text
LLM NameLlm Jp 3 1.8B Instruct
Repository 🤗https://huggingface.co/llm-jp/llm-jp-3-1.8b-instruct 
Model Size1.8b
Required VRAM3.7 GB
Updated2025-09-23
Maintainerllm-jp
Model Typellama
Instruction-BasedYes
Model Files  3.7 GB
Supported Languagesen ja
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<PAD|LLM-jp>
Vocabulary Size99584
Torch Data Typebfloat16

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Rank the Llm Jp 3 1.8B Instruct 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 v20241124
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