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

Llama MiraiFanfare 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 3.3 70B and how large is it?

Llama MiraiFanfare 3.3 70B is developed by KaraKaraWarehouse, 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 3.3 70B?

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

Name: Llama MiraiFanfare 3.3 70B
Author: KaraKaraWarehouse

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

Merged Model Arxiv:2306.01708 Base model:blackroot/mirai-70b... Base model:eva-unit-01/eva-lla... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

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

Llama MiraiFanfare 3.3 70B Parameters and Internals

LLM Name	Llama MiraiFanfare 3.3 70B
Repository 🤗	https://huggingface.co/KaraKaraWarehouse/Llama-MiraiFanfare-3.3-70B
Base Model(s)	Blackroot/Mirai-70B-1.0 EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.0 Blackroot/Mirai-70B-1.0 EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.0
Merged Model	Yes
Model Size	70b
Required VRAM	141.2 GB
Updated	2026-08-07
Maintainer	KaraKaraWarehouse
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
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama MiraiFanfare 3.3 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 MiraiFanfare 3.3 70B

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... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	9069	5
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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 KaraKaraWarehouse/Llama-MiraiFanfare-3.3-70B.