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Lucie 7B Instruct V1.1

Developed by OpenLLM-France
A multilingual causal language model fine-tuned based on Lucie-7B, supporting French and English, focused on instruction following and text generation tasks.
Downloads 13.33k
Release Time : 2/13/2025

Model Overview

Lucie-7B-Instruct-v1.1 is a multilingual large language model developed by OpenLLM-France, fine-tuned using a mix of human templates and synthetic instructions, suitable for text generation tasks such as Q&A and summarization.

Model Features

Multilingual support
Specifically optimized for French and English, capable of handling mixed bilingual input.
Long context handling
The base model supports a 32K context window, with an effective evaluated window of 22K.
Lightweight instruction fine-tuning
Targeted training through a mix of human templates and synthetic instructions to optimize response formats.
Mathematical enhancement
Includes training on the TULU3 Personas Math dataset series to improve mathematical problem-solving capabilities.

Model Capabilities

Text generation
Q&A system
Content summarization
List generation
Mathematical problem solving

Use Cases

Educational assistance
Language learning Q&A
Helps students answer language learning questions in French or English
As shown in examples, can accurately answer basic questions like capital cities
Math problem assistance
Solves basic math problems
Can handle basic math problems based on specialized training data
Information retrieval
Factual Q&A
Answers factual questions about geography, history, etc.
Requires combining with RAG framework to reduce hallucination risks
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