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Swallow 13B Instruct AWQ by TheBloke

By TheBloke · 10 downloads

Swallow 13B Instruct AWQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.5GB, Context: 4K, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.1.

  4-bit   Awq Base model:quantized:tokyotech... Base model:tokyotech-llm/swall...   En   Instruct   Ja   Llama   Quantized   Region:us   Safetensors

Swallow 13B Instruct AWQ Parameters and Internals

Model Type 
text generation, bilingual
Use Cases 
Areas:
Research, Commercial applications
Applications:
Japanese and English text generation, Instruction following
Primary Use Cases:
Text generation, Bilingual interaction
Limitations:
Early stages without tuning for alignment with human intent and safety
Considerations:
Follow ethical and responsible AI guidelines when using this model.
Additional Notes 
Quantized using AWQ method for faster processing while maintaining output quality.
Supported Languages 
Japanese (high), English (medium)
Training Details 
Data Sources:
Japanese Wikipedia, RefinedWeb, Swallow Corpus, The Pile, Anthropic HH-RLHF, Databricks Dolly 15-k, OpenAssistant Conversations Dataset
Methodology:
Supervised fine-tuning (SFT)
Context Length:
4096
Hardware Used:
Hardware provided by Massed Compute
Model Architecture:
Transformer-based architecture, specific details according to LLaMA-2 technical report
Input Output 
Input Format:
Japanese or English text instructions
Accepted Modalities:
text
Output Format:
Text generation based on prompts
Performance Tips:
Utilize appropriate quantization level and adjust sampling parameters for better performance.
LLM NameSwallow 13B Instruct AWQ
Repository πŸ€—https://huggingface.co/TheBloke/Swallow-13B-Instruct-AWQ 
Model NameSwallow 13B Instruct
Model Creatortokyotech-llm
Base Model(s)  Swallow 13B Instruct Hf   tokyotech-llm/Swallow-13b-instruct-hf
Model Size13b
Required VRAM7.5 GB
Updated2026-08-04
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  7.5 GB
Supported Languagesen ja
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size43176
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Swallow-13B-Instruct-AWQ.