What are the hardware requirements for Llama 3.3 70B Instruct FP8 Dynamic?

Llama 3.3 70B Instruct FP8 Dynamic requires approximately 72.7 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 70B Instruct FP8 Dynamic and how large is it?

Llama 3.3 70B Instruct FP8 Dynamic is developed by unsloth, 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 70B Instruct FP8 Dynamic?

Llama 3.3 70B Instruct FP8 Dynamic is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.3 70B Instruct FP8 Dynamic by unsloth — VRAM 72.7GB, 128K context

Name: Llama 3.3 70B Instruct FP8 Dynamic
Author: unsloth

Llama 3.3 70B Instruct FP8 Dynamic is an open-source language model by unsloth. Features: 70b LLM, VRAM: 72.7GB, Context: 128K, License: llama3.3, Instruction-Based, LLM Explorer Score: 0.22.

Arxiv:2204.05149 Base model:meta-llama/llama-3.... Base model:quantized:meta-llam... Compressed-tensors Conversational En Endpoints compatible Facebook Instruct Llama Llama-3 Meta Pytorch Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Llama-3.3-70B-Instruct-FP8-Dynamic

Llama 3.3 70B Instruct FP8 Dynamic Parameters and Internals

LLM Name	Llama 3.3 70B Instruct FP8 Dynamic
Repository 🤗	https://huggingface.co/unsloth/Llama-3.3-70B-Instruct-FP8-Dynamic
Base Model(s)	meta-llama/Llama-3.3-70B-Instruct meta-llama/Llama-3.3-70B-Instruct
Model Size	70b
Required VRAM	72.7 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	llama
Instruction-Based	Yes
Model Files	4.8 GB: 1-of-15 5.0 GB: 2-of-15 4.9 GB: 3-of-15 4.9 GB: 4-of-15 4.9 GB: 5-of-15 5.0 GB: 6-of-15 4.9 GB: 7-of-15 4.9 GB: 8-of-15 4.9 GB: 9-of-15 5.0 GB: 10-of-15 4.9 GB: 11-of-15 4.9 GB: 12-of-15 4.9 GB: 13-of-15 5.0 GB: 14-of-15 3.8 GB: 15-of-15
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3.3
Context Length	131072
Model Max Length	131072
Transformers Version	4.57.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256

Rank the Llama 3.3 70B Instruct FP8 Dynamic 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

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... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	9069	5
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...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 unsloth/Llama-3.3-70B-Instruct-FP8-Dynamic.