Llama 3.1 70B EZO 1.1 It by HODACHI

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  Merged Model   Autotrain compatible   Conversational   En   Endpoints compatible   Ja   Japanese   Llama   Region:us   Safetensors   Sharded   Tensorflow

Llama 3.1 70B EZO 1.1 It Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 70B EZO 1.1 It (AXCXEPT/Llama-3.1-70B-EZO-1.1-it)

Llama 3.1 70B EZO 1.1 It Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Applications:
Japanese language processing
Primary Use Cases:
text generation in Japanese
Limitations:
Unpredictable Outputs, Need for Safety Testing, Multilingual Considerations, Risks as New Technology, Need for Continuous Improvement
Considerations:
Follow responsible AI guidelines for development and application.
Additional Notes 
This model is designed specifically for Japanese tasks but can be improved for other global use cases through our approach.
Supported Languages 
ja (proficient), en (proficient)
Training Details 
Data Sources:
Japanese Wikipedia, FineWeb
Methodology:
plain instruction tuning
Training Time:
32h
Hardware Used:
H100 ร— 1
Responsible Ai Considerations 
Fairness:
Ensure diverse and inclusive training data to mitigate bias.
Transparency:
Encourage transparency by sharing model limitations.
Accountability:
Developers accountable for any harm caused by using the model.
Mitigation Strategies:
Implement thorough testing for specific applications.
Input Output 
Input Format:
List of message dictionaries.
Accepted Modalities:
text
Output Format:
Generated text response.
Performance Tips:
Adjust model parameters for optimal performance.
LLM NameLlama 3.1 70B EZO 1.1 It
Repository ๐Ÿค—https://huggingface.co/AXCXEPT/Llama-3.1-70B-EZO-1.1-it 
Merged ModelYes
Model Size70b
Required VRAM141.9 GB
Updated2025-01-24
MaintainerHODACHI
Model Typellama
Model Files  4.6 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.1 GB: 30-of-30
Supported Languagesja en
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.43.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227