goyalayus/wordle-lora-20260324-163252-sft_turn5
The goyalayus/wordle-lora-20260324-163252-sft_turn5 model is a 2 billion parameter language model fine-tuned from unsloth/Qwen3-1.7B. It was trained using Supervised Fine-Tuning (SFT) with the TRL framework. This model is designed for text generation tasks, leveraging its fine-tuned capabilities to produce coherent and contextually relevant responses.
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Model Overview
The goyalayus/wordle-lora-20260324-163252-sft_turn5 is a 2 billion parameter language model, specifically a fine-tuned variant of the unsloth/Qwen3-1.7B base model. It has been developed using the TRL (Transformer Reinforcement Learning) framework, indicating a focus on optimizing its performance through supervised fine-tuning (SFT).
Key Capabilities
- Text Generation: The model is primarily designed for generating human-like text based on given prompts.
- Fine-tuned Performance: Leveraging SFT, it aims to provide improved performance for specific text generation tasks compared to its base model.
Training Details
The model underwent a Supervised Fine-Tuning (SFT) process. The training utilized several key frameworks:
- TRL: Version 0.24.0
- Transformers: Version 4.57.6
- Pytorch: Version 2.10.0
- Datasets: Version 4.3.0
- Tokenizers: Version 0.22.2
Usage
Developers can integrate this model into their applications using the Hugging Face transformers library, as demonstrated in the quick start example for text generation tasks.