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

Meta Llama 3.1 8B Instruct requires approximately 16.1 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 Instruct and how large is it?

Meta Llama 3.1 8B Instruct 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 Meta Llama 3.1 8B Instruct?

Meta Llama 3.1 8B Instruct 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 Instruct by unsloth — VRAM 16.1GB, 128K context

Name: Meta Llama 3.1 8B Instruct
Author: unsloth

Meta Llama 3.1 8B Instruct is an open-source language model by unsloth. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: meta, Instruction-Based, LLM Explorer Score: 0.22.

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

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

Meta Llama 3.1 8B Instruct Parameters and Internals

Model Type

text generation

Use Cases

Areas:

research, commercial applications

Applications:

text generation, chatbot development

Primary Use Cases:

finetuning for specific tasks

Limitations:

unsuitable for real-time applications

Considerations:

Requires substantial computational resources.

Input Output

Input Format:

text input for language generation finetuning

Accepted Modalities:

text

Output Format:

text output

Performance Tips:

Optimize model parameters for intended tasks for best performance.

LLM Name	Meta Llama 3.1 8B Instruct
Repository 🤗	https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct
Base Model(s)	meta-llama/Llama-3.1-8B-Instruct meta-llama/Llama-3.1-8B-Instruct
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-06
Maintainer	unsloth
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	meta
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0.dev0
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Meta Llama 3.1 8B Instruct 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

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