Llama 3.1 Swallow 8B Instruct V0.2 by tokyotech-llm

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Llama 3.1 Swallow 8B Instruct V0.2 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: 0.17.

  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

Llama 3.1 Swallow 8B Instruct V0.2 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 Swallow 8B Instruct V0.2 (tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.2)
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Llama 3.1 Swallow 8B Instruct V0.2 Parameters and Internals

LLM NameLlama 3.1 Swallow 8B Instruct V0.2
Repository ๐Ÿค—https://huggingface.co/tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.2 
Model Size8b
Required VRAM16.1 GB
Updated2026-04-07
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 Version4.45.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.2.

Rank the Llama 3.1 Swallow 8B Instruct V0.2 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 v20260328a