What are the hardware requirements for Llama 3.1 Swallow 8B V0.5?

Llama 3.1 Swallow 8B V0.5 requires approximately 16.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.1 Swallow 8B V0.5 and how large is it?

Llama 3.1 Swallow 8B V0.5 is developed by tokyotech-llm, a model with 8b 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 Llama 3.1 Swallow 8B V0.5?

Llama 3.1 Swallow 8B V0.5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.1 Swallow 8B V0.5 by tokyotech-llm — VRAM 16.1GB, 128K context

Name: Llama 3.1 Swallow 8B V0.5
Author: tokyotech-llm

Llama 3.1 Swallow 8B V0.5 is an open-source language model by tokyotech-llm. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: llama3.3|gemma, Instruction-Based, LLM Explorer Score: 0.19.

Arxiv:2404.17733 Arxiv:2407.21783 Arxiv:2505.02881 Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Dataset:tokyotech-llm/swallow-... Dataset:tokyotech-llm/swallow-... En Instruct Ja Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/tokyotech-llm/Llama-3.1-Swallow-8B-v0.5

Llama 3.1 Swallow 8B V0.5 Parameters and Internals

LLM Name	Llama 3.1 Swallow 8B V0.5
Repository 🤗	https://huggingface.co/tokyotech-llm/Llama-3.1-Swallow-8B-v0.5
Base Model(s)	meta-llama/Llama-3.1-8B-Instruct meta-llama/Llama-3.1-8B-Instruct
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-02
Maintainer	tokyotech-llm
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en ja
Model Architecture	LlamaForCausalLM
License	llama3.3\|gemma
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	PreTrainedTokenizer
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.1 Swallow 8B V0.5 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

Best Alternatives to Llama 3.1 Swallow 8B V0.5

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than tokyotech-llm/Llama-3.1-Swallow-8B-v0.5.