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Llm Jp 3 3.7B Instruct EZO Humanities by AXCXEPT

 »  All LLMs  »  AXCXEPT  »  Llm Jp 3 3.7B Instruct EZO Humanities   URL Share it on

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  Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Ja   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/AXCXEPT/llm-jp-3-3.7b-instruct-EZO-Humanities 

Llm Jp 3 3.7B Instruct EZO Humanities Benchmarks

LLME Score: 0.18164
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 3.7B Instruct EZO Humanities (AXCXEPT/llm-jp-3-3.7b-instruct-EZO-Humanities)
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Llm Jp 3 3.7B Instruct EZO Humanities Parameters and Internals

Model Type 
text generation, conversational
Additional Notes 
This model is considered an experimental prototype, intended for research and development only.
Supported Languages 
en (proficient), ja (proficient)
Training Details 
Data Sources:
Japanese Wikipedia, FineWeb
Methodology:
plain instruction tuning
Training Time:
4h
Hardware Used:
A100 × 8
LLM NameLlm Jp 3 3.7B Instruct EZO Humanities
Repository 🤗https://huggingface.co/AXCXEPT/llm-jp-3-3.7b-instruct-EZO-Humanities 
Model Size3.7b
Required VRAM7.6 GB
Updated2025-09-23
MaintainerAXCXEPT
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2
Supported Languagesen ja
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.45.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<PAD|LLM-jp>
Vocabulary Size99584
Torch Data Typebfloat16

Best Alternatives to Llm Jp 3 3.7B Instruct EZO Humanities

Best Alternatives
Context / RAM
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SJT 3.7B4K / 8.2 GB50
....0 Computer Crime Act Instruct4K / 13.7 GB90
Llm Jp 3 3.7B Instruct4K / 7.6 GB125211
Llm Jp 3 3.7B Instruct4K / 7.6 GB100
Note: green Score (e.g. "73.2") means that the model is better than AXCXEPT/llm-jp-3-3.7b-instruct-EZO-Humanities.

Rank the Llm Jp 3 3.7B Instruct EZO Humanities 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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Release v20241124
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