What are the hardware requirements for Llama 3.3 Swallow 70B V0.4?

Llama 3.3 Swallow 70B V0.4 requires approximately 141.9 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 3.3 Swallow 70B V0.4 and how large is it?

Llama 3.3 Swallow 70B V0.4 is developed by tokyotech-llm, 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 Llama 3.3 Swallow 70B V0.4?

Llama 3.3 Swallow 70B V0.4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.3 Swallow 70B V0.4 by tokyotech-llm — VRAM 141.9GB, 128K context

Name: Llama 3.3 Swallow 70B V0.4
Author: tokyotech-llm

Llama 3.3 Swallow 70B V0.4 is an open-source language model by tokyotech-llm. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, License: llama3.3|gemma, LLM Explorer Score: 0.17.

Arxiv:2404.17733 Arxiv:2407.21783 Arxiv:2505.02881 En Endpoints compatible Ja Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/tokyotech-llm/Llama-3.3-Swallow-70B-v0.4

Llama 3.3 Swallow 70B V0.4 Parameters and Internals

LLM Name	Llama 3.3 Swallow 70B V0.4
Repository 🤗	https://huggingface.co/tokyotech-llm/Llama-3.3-Swallow-70B-v0.4
Model Size	70b
Required VRAM	141.9 GB
Updated	2026-08-07
Maintainer	tokyotech-llm
Model Type	llama
Model Files	4.6 GB: 1-of-30 4.7 GB: 2-of-30 5.0 GB: 3-of-30 5.0 GB: 4-of-30 4.7 GB: 5-of-30 4.7 GB: 6-of-30 4.7 GB: 7-of-30 5.0 GB: 8-of-30 5.0 GB: 9-of-30 4.7 GB: 10-of-30 4.7 GB: 11-of-30 4.7 GB: 12-of-30 5.0 GB: 13-of-30 5.0 GB: 14-of-30 4.7 GB: 15-of-30 4.7 GB: 16-of-30 4.7 GB: 17-of-30 5.0 GB: 18-of-30 5.0 GB: 19-of-30 4.7 GB: 20-of-30 4.7 GB: 21-of-30 4.7 GB: 22-of-30 5.0 GB: 23-of-30 5.0 GB: 24-of-30 4.7 GB: 25-of-30 4.7 GB: 26-of-30 4.7 GB: 27-of-30 5.0 GB: 28-of-30 5.0 GB: 29-of-30 2.1 GB: 30-of-30
Supported Languages	en ja
Model Architecture	LlamaForCausalLM
License	llama3.3\|gemma
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
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