Model Overview

The ewoe/FT_gemma3_4b_Fr_En is a 4.3 billion parameter language model, fine-tuned from the google/gemma-3-4b-it base model. This fine-tuning process utilized the TRL (Transformers Reinforcement Learning) library, enhancing its capabilities for instruction-following and conversational interactions.

Key Capabilities

• Instruction Following: Designed to understand and respond to user instructions effectively.
• Text Generation: Capable of generating coherent and contextually relevant text based on prompts.
• Conversational AI: Optimized for dialogue systems and interactive applications.

Training Details

The model was trained using Supervised Fine-Tuning (SFT) with the TRL framework. The training environment included:

• TRL: 1.0.0
• Transformers: 4.57.6
• Pytorch: 2.8.0+cu128
• Datasets: 4.8.4
• Tokenizers: 0.22.2

When to Use This Model

This model is suitable for applications requiring:

• General-purpose text generation.
• Instruction-based conversational agents.
• Prototyping and development of NLP applications where a 4.3B parameter model offers a balance of performance and efficiency.