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

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

Llama 3.1 8B Instruct FP8 Dynamic is developed by unsloth, 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 Dynamic?

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

Name: Llama 3.1 8B Instruct FP8 Dynamic
Author: unsloth

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

Arxiv:2204.05149 Base model:meta-llama/llama-3.... Base model:quantized:meta-llam... Compressed-tensors Conversational De En Es Facebook Fr Hi Instruct It Llama Llama-3 Meta Pt Pytorch Region:us Safetensors Sharded Tensorflow Th Unsloth

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

Llama 3.1 8B Instruct FP8 Dynamic Parameters and Internals

LLM Name	Llama 3.1 8B Instruct FP8 Dynamic
Repository 🤗	https://huggingface.co/unsloth/Llama-3.1-8B-Instruct-FP8-Dynamic
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	2026-08-10
Maintainer	unsloth
Model Type	llama
Instruction-Based	Yes
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	llama3.1
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 3.1 8B 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

Best Alternatives to Llama 3.1 8B Instruct FP8 Dynamic

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 unsloth/Llama-3.1-8B-Instruct-FP8-Dynamic.