Jerry999/TempSFTSkill
Jerry999/TempSFTSkill is a 4 billion parameter instruction-tuned causal language model, fine-tuned from Qwen/Qwen3-4B-Instruct-2507. This model was trained using Supervised Fine-Tuning (SFT) with the TRL framework, focusing on enhancing its conversational and instruction-following capabilities. It is designed for general text generation tasks, leveraging its Qwen3 base for robust language understanding and generation.
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Model Overview
Jerry999/TempSFTSkill is a 4 billion parameter language model, fine-tuned from the Qwen/Qwen3-4B-Instruct-2507 base model. This model has undergone Supervised Fine-Tuning (SFT) using the TRL framework, aiming to improve its instruction-following and conversational abilities.
Key Capabilities
- Instruction Following: Enhanced ability to understand and respond to user instructions.
- Text Generation: Capable of generating coherent and contextually relevant text based on prompts.
- Conversational AI: Suitable for dialogue-based applications due to its instruction-tuned nature.
Training Details
The model was trained using the SFT method with the following framework versions:
- TRL: 0.29.0
- Transformers: 5.5.3
- Pytorch: 2.8.0
- Datasets: 4.5.0
- Tokenizers: 0.22.2
Good For
- General-purpose text generation tasks.
- Applications requiring instruction-based responses.
- Prototyping conversational agents.