What are the hardware requirements for Llama 3.1 Swallow 70B V0.1?

Llama 3.1 Swallow 70B V0.1 requires approximately 141.9 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.1 Swallow 70B V0.1 and how large is it?

Llama 3.1 Swallow 70B V0.1 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 3.1 Swallow 70B V0.1?

Llama 3.1 Swallow 70B V0.1 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 70B V0.1 by tokyotech-llm — VRAM 141.9GB, 8K context

Name: Llama 3.1 Swallow 70B V0.1
Author: tokyotech-llm

Llama 3.1 Swallow 70B V0.1 is an open-source language model by tokyotech-llm. Features: 70b LLM, VRAM: 141.9GB, Context: 8K, License: llama3.1, LLM Explorer Score: 0.14.

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

Model Card on HF 🤗: https://huggingface.co/tokyotech-llm/Llama-3.1-Swallow-70B-v0.1

Llama 3.1 Swallow 70B V0.1 Parameters and Internals

LLM Name	Llama 3.1 Swallow 70B V0.1
Repository 🤗	https://huggingface.co/tokyotech-llm/Llama-3.1-Swallow-70B-v0.1
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	llama3.1
Context Length	8192
Model Max Length	8192
Transformers Version	4.44.0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.1 Swallow 70B V0.1 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 70B V0.1

Best Alternatives	Context / RAM	Downloads	Likes
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	9069	5
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	7684	4
... 3 70B Instruct Gradient 1048K	1024K / 141.9 GB	22	122
Llama3 Function Calling 1048K	1024K / 141.9 GB	5	1
...a 3 70B Instruct Gradient 524K	512K / 141.9 GB	24	23
...a 3 70B Instruct Gradient 262K	256K / 141.9 GB	20	56
...ama 3 70B Arimas Story RP V2.0	256K / 141.1 GB	10	3
...ama 3 70B Arimas Story RP V1.6	256K / 141.2 GB	5	0
...ama 3 70B Arimas Story RP V1.5	256K / 141.2 GB	21	3
Yi 70B 200K RPMerge Franken	195K / 142.4 GB	10	1

Note: green Score (e.g. "73.2") means that the model is better than tokyotech-llm/Llama-3.1-Swallow-70B-v0.1.