Llm Jp 3 3.7B Instruct EZO Humanities by AXCXEPT

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  Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Ja   Llama   Region:us   Safetensors   Sharded   Tensorflow

Llm Jp 3 3.7B Instruct EZO Humanities Benchmarks

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)

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 ร— 8
LLM NameLlm Jp 3 3.7B Instruct EZO Humanities
Repository ๐Ÿค—https://huggingface.co/AXCXEPT/llm-jp-3-3.7b-instruct-EZO-Humanities 
Model Size3.7b
Required VRAM7.6 GB
Updated2024-12-21
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

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Note: green Score (e.g. "73.2") means that the model is better than AXCXEPT/llm-jp-3-3.7b-instruct-EZO-Humanities.

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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 v20241217