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Swallow 70B GGUF by TheBloke

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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-70B-GGUF 

Swallow 70B GGUF Benchmarks

LLME Score: 0.13788
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Swallow 70B GGUF Parameters and Internals

Model Type 
llama
Use Cases 
Limitations:
Models are still in the early stages of research and development and have not been tuned for alignment with human intent and safety considerations.
Additional Notes 
The model features a tokenizer with a broadened vocabulary for Japanese data, enhancing text representation efficiency.
Supported Languages 
Japanese (Proficient), English (Proficient)
Training Details 
Data Sources:
Japanese Wikipedia, RefinedWeb, Swallow Corpus, The Pile
Methodology:
Continual pre-training from Llama 2 with addition of Japanese language data
Model Architecture:
LLaMA-2 architecture
LLM NameSwallow 70B GGUF
Repository 🤗https://huggingface.co/TheBloke/Swallow-70B-GGUF 
Model NameSwallow 70B
Model Creatortokyotech-llm
Base Model(s)  Swallow 70B Hf   tokyotech-llm/Swallow-70b-hf
Model Size70b
Required VRAM29.4 GB
Updated2025-06-09
MaintainerTheBloke
Model Typellama
Model Files  29.4 GB   36.3 GB   33.3 GB   30.0 GB   39.0 GB   41.5 GB   39.2 GB   47.6 GB   48.9 GB   47.6 GB
Supported Languagesen ja
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensellama2
Swallow 70B GGUF (TheBloke/Swallow-70B-GGUF)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Swallow-70B-GGUF.

Rank the Swallow 70B 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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Release v20241124
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