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Llama 3.1 Swallow 8B Instruct V0.1 by tokyotech-llm

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Llama 3.1 Swallow 8B Instruct V0.1 is an open-source language model by tokyotech-llm. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3.1|gemma, Instruction-Based, LLM Explorer Score: 0.16.

  Arxiv:2406.08464   Arxiv:2407.21783   Arxiv:2503.23714   Conversational Dataset:argilla/magpie-ultra-v...   Dataset:lmsys/lmsys-chat-1m Dataset:tokyotech-llm/lmsys-ch... Dataset:tokyotech-llm/swallow-... Dataset:tokyotech-llm/swallow-...   En   Endpoints compatible   Instruct   Ja   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.1 

Llama 3.1 Swallow 8B Instruct V0.1 Benchmarks

LLME Score: 0.16411
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 Swallow 8B Instruct V0.1 (tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.1)
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Llama 3.1 Swallow 8B Instruct V0.1 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Swallow models enhanced Japanese capabilities while retaining English capabilities; Developed under various projects and supports; Continual pre-training and instruction-tuning based fine-tuning involved.
Supported Languages 
Japanese (enhanced), English (retained)
Training Details 
Data Sources:
Large Japanese web corpus, Japanese and English Wikipedia, Mathematical and coding contents
Data Volume:
200 billion tokens
Methodology:
Continual pre-training, Supervised fine-tuning on synthetic data
Hardware Used:
Megatron-LM
Model Architecture:
Please refer to Llama 3.1 MODEL_CARD for details on the model architecture.
Release Notes 
Version:
v0.1 (8B and 70B)
Date:
October 08, 2024
Notes:
Released Llama-3.1-Swallow models.
LLM NameLlama 3.1 Swallow 8B Instruct V0.1
Repository 🤗https://huggingface.co/tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.1 
Model Size8b
Required VRAM16.1 GB
Updated2026-04-06
Maintainertokyotech-llm
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen ja
Model ArchitectureLlamaForCausalLM
Licensellama3.1|gemma
Context Length8192
Model Max Length8192
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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...otron 8B UltraLong 4M Instruct4192K / 32.1 GB89119
...a 3.1 8B UltraLong 4M Instruct4192K / 32.1 GB17624
UltraLong Thinking4192K / 16.1 GB93
...a 3.1 8B UltraLong 2M Instruct2096K / 32.1 GB8759
...otron 8B UltraLong 2M Instruct2096K / 32.1 GB4017
Cthulhu 8B V1.41048K / 16.1 GB139
...otron 8B UltraLong 1M Instruct1048K / 32.1 GB344055
...a 3.1 8B UltraLong 1M Instruct1048K / 32.1 GB138729
Zero Llama 3.1 8B Beta61048K / 16.1 GB51
...dger Nu Llama 3.1 8B UltraLong1048K / 16.2 GB53
Note: green Score (e.g. "73.2") means that the model is better than tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.1.

Rank the Llama 3.1 Swallow 8B 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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