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Llama 3 Swallow 70B Instruct V0.1 by tokyotech-llm

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Llama 3 Swallow 70B Instruct V0.1 is an open-source language model by tokyotech-llm. Features: 70b LLM, VRAM: 141.9GB, Context: 8K, License: llama3, Instruction-Based, LLM Explorer Score: 0.14.

  Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Ja   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/tokyotech-llm/Llama-3-Swallow-70B-Instruct-v0.1 

Llama 3 Swallow 70B Instruct V0.1 Benchmarks

LLME Score: 0.14305
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Swallow 70B Instruct V0.1 (tokyotech-llm/Llama-3-Swallow-70B-Instruct-v0.1)
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Llama 3 Swallow 70B Instruct V0.1 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Research, Commercial applications
Limitations:
Outputs may not always align with human intent and safety considerations, Early-stage development
Additional Notes 
Built and continually pre-trained with additional Japanese language data.
Supported Languages 
English (Fluent), Japanese (Enhanced)
Training Details 
Data Sources:
Llama 3, Japanese data sources
Methodology:
Continual pre-training with addition of Japanese language data, supervised fine-tuning (SFT), Chat Vector
Model Architecture:
Transformer-based architecture, refer to Llama 3 model card for specific architecture details.
Release Notes 
Version:
0.1
Date:
2024-07-01
Notes:
Released Llama-3-Swallow-8B and 70B variants.
LLM NameLlama 3 Swallow 70B Instruct V0.1
Repository 🤗https://huggingface.co/tokyotech-llm/Llama-3-Swallow-70B-Instruct-v0.1 
Model Size70b
Required VRAM141.9 GB
Updated2025-10-10
Maintainertokyotech-llm
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 Languagesen ja
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

Best Alternatives to Llama 3 Swallow 70B Instruct V0.1

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Context / RAM
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Likes
... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB90695
... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB80224
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Llama3 Function Calling 1048K1024K / 141.9 GB61
...a 3 70B Instruct Gradient 524K512K / 141.9 GB1023
...a 3 70B Instruct Gradient 262K256K / 141.9 GB1856
...ama 3 70B Arimas Story RP V2.0256K / 141.1 GB303
...ama 3 70B Arimas Story RP V1.6256K / 141.2 GB130
...ama 3 70B Arimas Story RP V1.5256K / 141.2 GB93
Llama 3.1 70B Instruct128K / 141.9 GB1008029904
Note: green Score (e.g. "73.2") means that the model is better than tokyotech-llm/Llama-3-Swallow-70B-Instruct-v0.1.

Rank the Llama 3 Swallow 70B Instruct V0.1 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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