What are the hardware requirements for Meta Llama 3.1 8B FP8?

Meta Llama 3.1 8B FP8 requires approximately 9.1 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 Meta Llama 3.1 8B FP8 and how large is it?

Meta Llama 3.1 8B FP8 is developed by RedHatAI, a model with 8b 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 Meta Llama 3.1 8B FP8?

Meta Llama 3.1 8B FP8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Meta Llama 3.1 8B FP8 by RedHatAI — VRAM 9.1GB, 128K context

Name: Meta Llama 3.1 8B FP8
Author: RedHatAI

Meta Llama 3.1 8B FP8 is an open-source language model by RedHatAI. Features: 8b LLM, VRAM: 9.1GB, Context: 128K, License: meta, LLM Explorer Score: 0.21.

Base model:meta-llama/llama-3.... Base model:quantized:meta-llam... Compressed-tensors De En Endpoints compatible Es Fp8 Fr Hi It Llama Pt Region:us Safetensors Sharded Tensorflow Th Vllm

Model Card on HF 🤗: https://huggingface.co/RedHatAI/Meta-Llama-3.1-8B-FP8

Meta Llama 3.1 8B FP8 Parameters and Internals

LLM Name	Meta Llama 3.1 8B FP8
Repository 🤗	https://huggingface.co/RedHatAI/Meta-Llama-3.1-8B-FP8
Base Model(s)	meta-llama/Meta-Llama-3.1-8B meta-llama/Meta-Llama-3.1-8B
Model Size	8b
Required VRAM	9.1 GB
Updated	2026-07-23
Maintainer	RedHatAI
Model Type	llama
Model Files	5.0 GB: 1-of-2 4.1 GB: 2-of-2
Supported Languages	en de fr it pt hi es th
Model Architecture	LlamaForCausalLM
License	meta
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Meta Llama 3.1 8B FP8 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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...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than RedHatAI/Meta-Llama-3.1-8B-FP8.