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Loquace 7B by cosimoiaia

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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: 0.08.

  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 Benchmarks

LLME Score: 0.0766
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Loquace 7B (cosimoiaia/Loquace-7B)
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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 NameLoquace 7B
Repository 🤗https://huggingface.co/cosimoiaia/Loquace-7B 
Model Size7b
Required VRAM14.4 GB
Updated2026-04-07
Maintainercosimoiaia
Model TypeRefinedWebModel
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 Languagesit
Model ArchitectureRWForCausalLM
Licensecc-by-nc-2.0
Model Max Length2048
Transformers Version4.30.0.dev0
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than cosimoiaia/Loquace-7B.

Rank the Loquace 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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