ewoe/FT_gemma3_4b_Fr_En
The ewoe/FT_gemma3_4b_Fr_En model is a 4.3 billion parameter instruction-tuned causal language model, fine-tuned from Google's Gemma-3-4b-it. This model specializes in generating text based on user prompts, leveraging its base architecture for general language understanding. It is optimized for conversational AI and text generation tasks, providing a robust foundation for various natural language processing applications.
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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.