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

Llama 3.1 8B Instruct 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 Llama 3.1 8B Instruct FP8 and how large is it?

Llama 3.1 8B Instruct FP8 is developed by nvidia, 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 Llama 3.1 8B Instruct FP8?

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

Llama 3.1 8B Instruct FP8 by nvidia — VRAM 9.1GB, 128K context

Name: Llama 3.1 8B Instruct FP8
Author: nvidia

Llama 3.1 8B Instruct FP8 is an open-source language model by nvidia. Features: 8b LLM, VRAM: 9.1GB, Context: 128K, License: llama3.1, Instruction-Based, LLM Explorer Score: 0.22.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

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

Llama 3.1 8B Instruct FP8 Parameters and Internals

LLM Name	Llama 3.1 8B Instruct FP8
Repository 🤗	https://huggingface.co/nvidia/Llama-3.1-8B-Instruct-FP8
Base Model(s)	meta-llama/Llama-3.1-8B-Instruct meta-llama/Llama-3.1-8B-Instruct
Model Size	8b
Required VRAM	9.1 GB
Updated	2026-07-04
Maintainer	nvidia
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 4.1 GB: 2-of-2
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.50.0.dev0
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.1 8B Instruct FP8 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 3.1 8B Instruct FP8

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1

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