What are the hardware requirements for Llama3 GGUF?

Llama3 GGUF requires approximately 4.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama3 GGUF and how large is it?

Llama3 GGUF is developed by traderpedroso, 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 Llama3 GGUF?

Llama3 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama3 GGUF by traderpedroso — VRAM 4.9GB

Name: Llama3 GGUF
Author: traderpedroso

Llama3 GGUF is an open-source language model by traderpedroso. Features: 8b LLM, VRAM: 4.9GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

Base model:artificialguybr/lla... Base model:quantized:artificia... Conversational En Endpoints compatible Gguf Llama Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/traderpedroso/llama3-GGUF

Llama3 GGUF Parameters and Internals

Model Type

text-generation-inference, transformers, unsloth, llama, gguf

Training Details

Methodology:

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	Llama3 GGUF
Repository 🤗	https://huggingface.co/traderpedroso/llama3-GGUF
Base Model(s)	Llama3 8B Alpacadata Ptbr artificialguybr/llama3-8b-alpacadata-ptbr
Model Size	8b
Required VRAM	4.9 GB
Updated	2025-11-04
Maintainer	traderpedroso
Model Type	llama
Model Files	16.1 GB 4.9 GB 8.5 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the Llama3 GGUF 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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Llama 3.1 8B Rp Tadashinu Gguf	0K / 4.9 GB	57	7
...B Instruct Bnb 4bit 24 1 100 1	0K / 16.1 GB	59	0
Llama 3.1 8B OneLastStory Gguf	0K / 4.9 GB	43	5
CleverBoi Llama 3.1 8B V2	0K / 16.1 GB	800	0
Meta Llama 3 8B Instruct GGUF	0K / 2 GB	96368	103
...leverBoi Llama 3.1 8B Instruct	0K / 0.2 GB	866	1
...ma 3 8B Instruct 32K V0.1 GGUF	0K / 2 GB	81087	59

Note: green Score (e.g. "73.2") means that the model is better than traderpedroso/llama3-GGUF.