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Llama 3.1 70B Japanese Instruct 2407 by cyberagent

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  Autotrain compatible   Conversational   En   Instruct   Ja   Japanese   Llama   Llama-3   Region:us   Safetensors   Sharded   Tensorflow

Llama 3.1 70B Japanese Instruct 2407 Benchmarks

LLME Score: 0.3333
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 Japanese Instruct 2407 Parameters and Internals

LLM NameLlama 3.1 70B Japanese Instruct 2407
Repository 🤗https://huggingface.co/cyberagent/Llama-3.1-70B-Japanese-Instruct-2407 
Model Size70b
Required VRAM141.9 GB
Updated2024-09-07
Maintainercyberagent
Model Typellama
Instruction-BasedYes
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 Version4.44.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3.1 70B Japanese Instruct 2407 (cyberagent/Llama-3.1-70B-Japanese-Instruct-2407)

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Note: green Score (e.g. "73.2") means that the model is better than cyberagent/Llama-3.1-70B-Japanese-Instruct-2407.

Rank the Llama 3.1 70B Japanese Instruct 2407 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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Release v2024072803
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