What are the hardware requirements for Llama 3.3 Amakuro?

Llama 3.3 Amakuro requires approximately 141.2 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 Amakuro and how large is it?

Llama 3.3 Amakuro is developed by KaraKaraWitch, 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 Amakuro?

Llama 3.3 Amakuro is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.3 Amakuro by KaraKaraWitch — VRAM 141.2GB, 128K context

Name: Llama 3.3 Amakuro
Author: KaraKaraWitch

Llama 3.3 Amakuro is an open-source language model by KaraKaraWitch. Features: 70b LLM, VRAM: 141.2GB, Context: 128K, License: wtfpl, Merged, LLM Explorer Score: 0.17.

Merged Model Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/KaraKaraWitch/Llama-3.3-Amakuro

Llama 3.3 Amakuro Parameters and Internals

LLM Name	Llama 3.3 Amakuro
Repository 🤗	https://huggingface.co/KaraKaraWitch/Llama-3.3-Amakuro
Merged Model	Yes
Model Size	70b
Required VRAM	141.2 GB
Updated	2026-07-18
Maintainer	KaraKaraWitch
Model Type	llama
Model Files	9.8 GB: 1-of-15 9.8 GB: 2-of-15 10.0 GB: 3-of-15 9.8 GB: 4-of-15 9.8 GB: 5-of-15 9.8 GB: 6-of-15 10.0 GB: 7-of-15 9.8 GB: 8-of-15 9.8 GB: 9-of-15 9.8 GB: 10-of-15 10.0 GB: 11-of-15 9.8 GB: 12-of-15 9.8 GB: 13-of-15 9.8 GB: 14-of-15 3.4 GB: 15-of-15
Model Architecture	LlamaForCausalLM
License	wtfpl
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
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