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Swallow 7B GGUF by TheBloke

 »  All LLMs  »  TheBloke  »  Swallow 7B GGUF   URL Share it on

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Base model:quantized:tokyotech... Base model:tokyotech-llm/swall...   En   Gguf   Ja   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/Swallow-7B-GGUF 

Swallow 7B GGUF Benchmarks

LLME Score: 0.13001
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Swallow 7B GGUF (TheBloke/Swallow-7B-GGUF)
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Swallow 7B GGUF Parameters and Internals

Model Type 
llama
Supported Languages 
en (English), ja (Japanese)
Training Details 
Data Sources:
Japanese Wikipedia, RefinedWeb, Swallow Corpus, The Pile
Methodology:
Continuous pre-training from Llama 2 with added Japanese language data and supervised fine-tuning for tuned versions.
Model Architecture:
Refer to LLaMA-2 technical report
LLM NameSwallow 7B GGUF
Repository 🤗https://huggingface.co/TheBloke/Swallow-7B-GGUF 
Model NameSwallow 7B
Model Creatortokyotech-llm
Base Model(s)  Swallow 7B Hf   tokyotech-llm/Swallow-7b-hf
Model Size7b
Required VRAM2.9 GB
Updated2025-09-08
MaintainerTheBloke
Model Typellama
Model Files  2.9 GB   3.6 GB   3.4 GB   3.0 GB   3.9 GB   4.1 GB   3.9 GB   4.7 GB   4.8 GB   4.7 GB   5.6 GB   7.3 GB
Supported Languagesen ja
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensellama2

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Swallow-7B-GGUF.

Rank the Swallow 7B GGUF 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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