What are the hardware requirements for Pallade Idrico 7B?

Pallade Idrico 7B requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Pallade Idrico 7B and how large is it?

Pallade Idrico 7B is developed by davideparisi, a model with 7b 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 Pallade Idrico 7B?

Pallade Idrico 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Pallade Idrico 7B by davideparisi — VRAM 0.3GB

Name: Pallade Idrico 7B
Author: davideparisi

Pallade Idrico 7B is an open-source language model by davideparisi. Features: 7b LLM, VRAM: 0.3GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.28.

Adapter Arera Base model:adapter:sapienzanlp... Base model:sapienzanlp/minerva... Dataset:custom/sii-corpus-ital... En Finetuned Instruct It Italian Legal Lora Peft Qlora Region:us Safetensors Servizio-idrico-integrato Unsloth Water-sector

Model Card on HF 🤗: https://huggingface.co/davideparisi/pallade-idrico-7b

Pallade Idrico 7B Parameters and Internals

LLM Name	Pallade Idrico 7B
Repository 🤗	https://huggingface.co/davideparisi/pallade-idrico-7b
Base Model(s)	sapienzanlp/Minerva-7B-instruct-v1.0 sapienzanlp/Minerva-7B-instruct-v1.0
Model Size	7b
Required VRAM	0.3 GB
Updated	2026-10-08
Maintainer	davideparisi
Instruction-Based	Yes
Model Files	0.3 GB
Supported Languages	it en
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|gate_proj\|up_proj\|k_proj\|down_proj\|o_proj\|v_proj
LoRA Alpha	32
LoRA Dropout	0
R Param	32

Rank the Pallade Idrico 7B capabilities

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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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