What are the hardware requirements for Loquace 7B?

Loquace 7B requires approximately 14.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Loquace 7B and how large is it?

Loquace 7B is developed by cosimoiaia, 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 Loquace 7B?

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

Loquace 7B by cosimoiaia — VRAM 14.4GB

Name: Loquace 7B
Author: cosimoiaia

Loquace 7B is an open-source language model by cosimoiaia. Features: 7b LLM, VRAM: 14.4GB, License: cc-by-nc-2.0, LLM Explorer Score: 0.07.

Alpaca Conversational Custom code Dataset:cosimoiaia/loquace-102... Endpoints compatible Finetuned It Italian Llama Pytorch Qlora Refinedwebmodel Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/cosimoiaia/Loquace-7B

Loquace 7B Parameters and Internals

Model Type

conversational

Use Cases

Areas:

Research, Proof-of-concept evaluations

Applications:

Language tuning tests in Italian

Limitations:

Loquace-7B may not handle complex or nuanced queries well and may struggle with ambiguous or poorly formatted inputs., The model may generate responses that are factually incorrect or nonsensical., The training data may not generalize well to other types of tasks or domains.

Supported Languages

Italian (Fluent)

Training Details

Data Sources:

Original alpaca Dataset, OpenAssistant dataset

Data Volume:

102k question/answer pairs

Methodology:

QLoRa

Training Time:

16 hours

Hardware Used:

RTX 3090

Model Architecture:

Instruction finetuned LLM

LLM Name	Loquace 7B
Repository 🤗	https://huggingface.co/cosimoiaia/Loquace-7B
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-06-14
Maintainer	cosimoiaia
Model Type	RefinedWebModel
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2 9.9 GB: 1-of-2 4.5 GB: 2-of-2
Supported Languages	it
Model Architecture	RWForCausalLM
License	cc-by-nc-2.0
Model Max Length	2048
Transformers Version	4.30.0.dev0
Is Biased	0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	65024
Torch Data Type	float16

Rank the Loquace 7B 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 cosimoiaia/Loquace-7B.