What are the hardware requirements for Llama3 Alpaca Ita Gguf Q8?

Llama3 Alpaca Ita Gguf Q8 requires approximately 8.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama3 Alpaca Ita Gguf Q8 and how large is it?

Llama3 Alpaca Ita Gguf Q8 is developed by damianopedonimf, 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 Alpaca Ita Gguf Q8?

Llama3 Alpaca Ita Gguf Q8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama3 Alpaca Ita Gguf Q8 by damianopedonimf — VRAM 8.5GB

Name: Llama3 Alpaca Ita Gguf Q8
Author: damianopedonimf

Llama3 Alpaca Ita Gguf Q8 is an open-source language model by damianopedonimf. Features: 8b LLM, VRAM: 8.5GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

Base model:quantized:unsloth/l... Base model:unsloth/llama-3-8b En Endpoints compatible Gguf Llama Q8 Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/damianopedonimf/llama3_alpaca_ita_gguf_q8

Llama3 Alpaca Ita Gguf Q8 Parameters and Internals

Model Type

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

Additional Notes

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

LLM Name	Llama3 Alpaca Ita Gguf Q8
Repository 🤗	https://huggingface.co/damianopedonimf/llama3_alpaca_ita_gguf_q8
Base Model(s)	Llama 3 8B unsloth/llama-3-8b
Model Size	8b
Required VRAM	8.5 GB
Updated	2026-06-24
Maintainer	damianopedonimf
Model Type	llama
Model Files	8.5 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q8
Model Architecture	AutoModel
License	apache-2.0

Rank the Llama3 Alpaca Ita Gguf Q8 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 damianopedonimf/llama3_alpaca_ita_gguf_q8.