What are the hardware requirements for Llama 3 Swallow Infused R1776 70B?

Llama 3 Swallow Infused R1776 70B 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 Swallow Infused R1776 70B and how large is it?

Llama 3 Swallow Infused R1776 70B is developed by yasu-oh, 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 Swallow Infused R1776 70B?

Llama 3 Swallow Infused R1776 70B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 Swallow Infused R1776 70B by yasu-oh — VRAM 141.9GB, 128K context

Name: Llama 3 Swallow Infused R1776 70B
Author: yasu-oh

Llama 3 Swallow Infused R1776 70B is an open-source language model by yasu-oh. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, License: llama3.3|gemma, Instruction-Based, Merged, LLM Explorer Score: 0.18.

Merged Model Base model:meta-llama/llama-3.... Base model:perplexity-ai/r1-17... Base model:tokyotech-llm/llama... Conversational En Endpoints compatible Instruct Ja Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/yasu-oh/Llama-3-Swallow-Infused-R1776-70B

Llama 3 Swallow Infused R1776 70B Parameters and Internals

LLM Name	Llama 3 Swallow Infused R1776 70B
Repository 🤗	https://huggingface.co/yasu-oh/Llama-3-Swallow-Infused-R1776-70B
Base Model(s)	R1 1776 Distill Llama 70B tokyotech-llm/Llama-3.3-Swallow-70B-Instruct-v0.4 meta-llama/Llama-3.3-70B-Instruct perplexity-ai/r1-1776-distill-llama-70b tokyotech-llm/Llama-3.3-Swallow-70B-Instruct-v0.4 meta-llama/Llama-3.3-70B-Instruct
Merged Model	Yes
Model Size	70b
Required VRAM	141.9 GB
Updated	2026-07-28
Maintainer	yasu-oh
Model Type	llama
Instruction-Based	Yes
Model Files	4.7 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 2.0 GB: 30-of-30
Supported Languages	en ja
Model Architecture	LlamaForCausalLM
License	llama3.3\|gemma
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	LlamaTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 Swallow Infused R1776 70B capabilities

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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 Swallow Infused R1776 70B

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
Llama 3.1 70B Instruct	128K / 141.9 GB	813492	938

Note: green Score (e.g. "73.2") means that the model is better than yasu-oh/Llama-3-Swallow-Infused-R1776-70B.