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Tora 4B by ryota39

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  Autotrain compatible   Endpoints compatible   Gpt neox   Instruct   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ryota39/Tora_4B 

Tora 4B Benchmarks

LLME Score: 0.14197
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tora 4B (ryota39/Tora_4B)
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Tora 4B Parameters and Internals

Model Type 
Language Model, Translation Model
Additional Notes 
The model is fine-tuned specifically for Japanese to English translations, not vice versa.
Supported Languages 
Japanese (High), English (Medium)
Training Details 
Data Sources:
izumi-lab/llm-japanese-dataset
Data Volume:
1,000,000 translation tasks
Methodology:
Full parameter fine-tuning
Training Time:
3h 22m 3s
Hardware Used:
1 x NVIDIA RTX A6000 (VRAM 48GB)
Input Output 
Input Format:
Text prompts in Japanese and English
Accepted Modalities:
text
Output Format:
Text
LLM NameTora 4B
Repository 🤗https://huggingface.co/ryota39/Tora_4B 
Model Size4b
Required VRAM7.6 GB
Updated2025-09-23
Maintainerryota39
Model Typegpt_neox
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2   0.0 GB   0.0 GB
Model ArchitectureGPTNeoXForCausalLM
Licensecc-by-sa-4.0
Context Length2048
Model Max Length2048
Transformers Version4.38.2
Vocabulary Size65536
Torch Data Typebfloat16

Best Alternatives to Tora 4B

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...al GPT Neox 4B Instruction Ppo2K / 7.7 GB146614
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Note: green Score (e.g. "73.2") means that the model is better than ryota39/Tora_4B.

Rank the Tora 4B 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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