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Swallow 13B Instruct GGUF by TheBloke

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Base model:quantized:tokyotech... Base model:tokyotech-llm/swall...   En   Gguf   Instruct   Ja   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/Swallow-13B-Instruct-GGUF 

Swallow 13B Instruct GGUF Benchmarks

LLME Score: 0.16304
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Swallow 13B Instruct GGUF (TheBloke/Swallow-13B-Instruct-GGUF)

Swallow 13B Instruct GGUF Parameters and Internals

Model Type 
text-generation
Use Cases 
Limitations:
Models are still in the early stages and have not been tuned to ensure outputs align with human intent and safety considerations.
Additional Notes 
The Swallow model includes continuous pre-training from the Llama 2 family and is especially optimized for Japanese language tasks.
Supported Languages 
en (English), ja (Japanese)
Training Details 
Data Sources:
Japanese Wikipedia, RefinedWeb, Swallow Corpus, The Pile
Methodology:
The tuned versions use supervised fine-tuning (SFT)
Model Architecture:
Refer to LLaMA-2 technical report for details on the model architecture.
Responsible Ai Considerations 
Mitigation Strategies:
These models have not been tuned to ensure outputs align with human intent and safety considerations.
LLM NameSwallow 13B Instruct GGUF
Repository 🤗https://huggingface.co/TheBloke/Swallow-13B-Instruct-GGUF 
Model NameSwallow 13B Instruct
Model Creatortokyotech-llm
Base Model(s)  Swallow 13B Instruct Hf   tokyotech-llm/Swallow-13b-instruct-hf
Model Size13b
Required VRAM5.5 GB
Updated2024-12-27
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  5.5 GB   7.0 GB   6.4 GB   5.7 GB   7.5 GB   8.0 GB   7.5 GB   9.1 GB   9.3 GB   9.1 GB   10.8 GB   14.0 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-13B-Instruct-GGUF.

Rank the Swallow 13B Instruct 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 v20241227
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