What are the hardware requirements for Llama MiraiFanfare 2 3.3 70B?

Llama MiraiFanfare 2 3.3 70B 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 MiraiFanfare 2 3.3 70B and how large is it?

Llama MiraiFanfare 2 3.3 70B 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 MiraiFanfare 2 3.3 70B?

Llama MiraiFanfare 2 3.3 70B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama MiraiFanfare 2 3.3 70B by KaraKaraWitch — VRAM 141.2GB, 128K context

Name: Llama MiraiFanfare 2 3.3 70B
Author: KaraKaraWitch

Llama MiraiFanfare 2 3.3 70B is an open-source language model by KaraKaraWitch. Features: 70b LLM, VRAM: 141.2GB, Context: 128K, Merged, LLM Explorer Score: 0.16.

Merged Model Arxiv:2306.01708 Autotrain compatible Base model:blackroot/mirai-3.0... Base model:eva-unit-01/eva-lla... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/KaraKaraWitch/Llama-MiraiFanfare-2-3.3-70B

Llama MiraiFanfare 2 3.3 70B Parameters and Internals

LLM Name	Llama MiraiFanfare 2 3.3 70B
Repository 🤗	https://huggingface.co/KaraKaraWitch/Llama-MiraiFanfare-2-3.3-70B
Base Model(s)	Blackroot/Mirai-3.0-70B EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1 Blackroot/Mirai-3.0-70B EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
Merged Model	Yes
Model Size	70b
Required VRAM	141.2 GB
Updated	2025-09-23
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
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

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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

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