What are the hardware requirements for Swallow 70B Instruct GGUF?

Swallow 70B Instruct GGUF requires approximately 29.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Swallow 70B Instruct GGUF and how large is it?

Swallow 70B Instruct GGUF is developed by TheBloke, a model with 70b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Swallow 70B Instruct GGUF?

Swallow 70B Instruct GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Swallow 70B Instruct GGUF by TheBloke — VRAM 29.4GB

Name: Swallow 70B Instruct GGUF
Author: TheBloke

Swallow 70B Instruct GGUF is an open-source language model by TheBloke. Features: 70b LLM, VRAM: 29.4GB, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

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-70B-instruct-GGUF

Swallow 70B Instruct GGUF Parameters and Internals

Model Type

text-generation

Additional Notes

The model includes supervised fine-tuning with Japanese data for better performance in Japanese tasks.

Supported Languages

Japanese (high, additional data), English (standard)

Training Details

Data Sources:

Japanese Wikipedia, RefinedWeb, Swallow Corpus, The Pile, Anthropic HH-RLHF, Databricks Dolly 15-k, OpenAssistant Conversations Dataset

Methodology:

Continual pre-training and Instruction tuning

Model Architecture:

LLaMA-2 architecture

Input Output

Input Format:

Japanese Prompt Template

Accepted Modalities:

text

Output Format:

Text

Performance Tips:

Using prompt template in Japanese improves efficiency.

LLM Name	Swallow 70B Instruct GGUF
Repository 🤗	https://huggingface.co/TheBloke/Swallow-70B-instruct-GGUF
Model Name	Swallow 70B Instruct
Model Creator	tokyotech-llm
Base Model(s)	Swallow 70B Instruct Hf tokyotech-llm/Swallow-70b-instruct-hf
Model Size	70b
Required VRAM	29.4 GB
Updated	2026-07-15
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
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 Languages	en ja
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	llama2

Rank the Swallow 70B Instruct GGUF capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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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CodeLlama 70B Instruct GGUF	0K / 25.5 GB	1375	64
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...tablelm Instruct Beta 70B GGUF	0K / 29.3 GB	1334	12
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Llama 2 70B Orca 200K GGUF	0K / 29.3 GB	901	22
Platypus2 70B Instruct GGUF	0K / 29.3 GB	505	10
... Distil Llama 3.3 70B Instruct	0K / 0.8 GB	9	3

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