PetarKal/Qwen3-4B-ascii-art-e5-lr3e-5-ga16-base
PetarKal/Qwen3-4B-ascii-art-e5-lr3e-5-ga16-base is a fine-tuned version of Qwen/Qwen3-4B-Base, developed by PetarKal. This model was trained using the TRL framework with SFT (Supervised Fine-Tuning). It is designed for text generation tasks, leveraging its base architecture for general language understanding and generation.
Loading preview...
Model Overview
This model, PetarKal/Qwen3-4B-ascii-art-e5-lr3e-5-ga16-base, is a specialized fine-tuned variant of the Qwen/Qwen3-4B-Base architecture. Developed by PetarKal, it leverages the robust foundation of the Qwen3-4B-Base model, which is known for its general language capabilities.
Training Details
The model underwent Supervised Fine-Tuning (SFT) using the TRL framework. This fine-tuning process adapts the base model to potentially excel in specific text generation tasks, although the README does not specify the exact nature of the fine-tuning dataset or its intended specialization beyond general text generation. The training utilized specific versions of key frameworks:
- TRL: 0.29.0
- Transformers: 5.3.0
- Pytorch: 2.10.0
- Datasets: 4.6.1
- Tokenizers: 0.22.2
Usage
Developers can easily integrate this model into their applications using the Hugging Face transformers library. A quick start example demonstrates its use for text generation, where it can respond to user prompts with generated text. The model is suitable for general text generation tasks where a fine-tuned Qwen3-4B base model is desired.