What are the hardware requirements for Llama 3.1 8B Open SFT GGUF?

Llama 3.1 8B Open SFT 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 Llama 3.1 8B Open SFT GGUF and how large is it?

Llama 3.1 8B Open SFT GGUF is developed by prithivMLmods, 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 Open SFT GGUF?

Llama 3.1 8B Open SFT GGUF 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 Open SFT GGUF by prithivMLmods — VRAM 4.9GB

Name: Llama 3.1 8B Open SFT GGUF
Author: prithivMLmods

Llama 3.1 8B Open SFT GGUF is an open-source language model by prithivMLmods. Features: 8b LLM, VRAM: 4.9GB, License: creativeml-openrail-m, Quantized, LLM Explorer Score: 0.16.

Base model:prithivmlmods/llama... Base model:quantized:prithivml... Chain-of-thought activation Conversational Cot Dataset:o1-open/openo1-sft En Endpoints compatible Gguf Llama Llama-cpp Math Ollama Openo1 Quantized Question answering Region:us Sft

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Llama-3.1-8B-Open-SFT-GGUF

Llama 3.1 8B Open SFT GGUF Parameters and Internals

LLM Name	Llama 3.1 8B Open SFT GGUF
Repository 🤗	https://huggingface.co/prithivMLmods/Llama-3.1-8B-Open-SFT-GGUF
Base Model(s)	prithivMLmods/Llama-3.1-8B-Open-SFT prithivMLmods/Llama-3.1-8B-Open-SFT
Model Size	8b
Required VRAM	4.9 GB
Updated	2026-07-21
Maintainer	prithivMLmods
Model Type	llama
Model Files	16.1 GB 4.9 GB 5.7 GB 8.5 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	creativeml-openrail-m

Rank the Llama 3.1 8B Open SFT 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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Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Llama-3.1-8B-Open-SFT-GGUF.