What are the hardware requirements for Llama 3 8B Ita 4K Orpo V3?

Llama 3 8B Ita 4K Orpo V3 requires approximately 5.8 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 8B Ita 4K Orpo V3 and how large is it?

Llama 3 8B Ita 4K Orpo V3 is developed by diegobit, 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 8B Ita 4K Orpo V3?

Llama 3 8B Ita 4K Orpo V3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 8B Ita 4K Orpo V3 by diegobit — VRAM 5.8GB, 8K context

Name: Llama 3 8B Ita 4K Orpo V3
Author: diegobit

Llama 3 8B Ita 4K Orpo V3 is an open-source language model by diegobit. Features: 8b LLM, VRAM: 5.8GB, Context: 8K, License: llama3, LLM Explorer Score: 0.13.

4-bit Bitsandbytes Conversational Dataset:efederici/alpaca-vs-al... Dataset:mii-community/ultrafee... Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/diegobit/llama-3-8b-ita-4k-orpo-v3

Llama 3 8B Ita 4K Orpo V3 Parameters and Internals

Model Type

NLP, Fine-tuned Language Model

Supported Languages

Italian (High)

Training Details

Data Sources:

mii-community/ultrafeedback-preferences-translated-ita, efederici/alpaca-vs-alpaca-orpo-dpo

Methodology:

Finetuning with ORPOConfig and PEFT parameters

Context Length:

4096

Training Time:

19 hours on A100-40GB

Hardware Used:

A100-40GB

Model Architecture:

Llama-3

LLM Name	Llama 3 8B Ita 4K Orpo V3
Repository 🤗	https://huggingface.co/diegobit/llama-3-8b-ita-4k-orpo-v3
Model Size	8b
Required VRAM	5.8 GB
Updated	2026-05-15
Maintainer	diegobit
Model Type	llama
Model Files	4.7 GB: 1-of-2 1.1 GB: 2-of-2
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|reserved_special_token_250\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 8B Ita 4K Orpo V3 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 diegobit/llama-3-8b-ita-4k-orpo-v3.