Z-L-Leo/my-sft-model-20260930-224405
Z-L-Leo/my-sft-model-20260930-224405 is a 0.35 billion parameter language model developed by Z-L-Leo, fine-tuned from LiquidAI/LFM2.5-350M. This model was trained using Supervised Fine-Tuning (SFT) with TRL, making it suitable for general text generation tasks. It features a context length of 32768 tokens, providing ample capacity for processing longer inputs.
Loading preview...
Model Overview
Z-L-Leo/my-sft-model-20260930-224405 is a 0.35 billion parameter language model, fine-tuned by Z-L-Leo from the LiquidAI/LFM2.5-350M base model. This model was developed using the TRL library for Supervised Fine-Tuning (SFT).
Key Capabilities
- Text Generation: Optimized for generating coherent and contextually relevant text based on user prompts.
- Instruction Following: Capable of responding to instructions, as demonstrated by its fine-tuning process.
- Efficient Performance: With 0.35 billion parameters, it offers a balance between performance and computational efficiency, making it suitable for deployment in resource-constrained environments.
Training Details
The model underwent Supervised Fine-Tuning (SFT) using TRL version 1.12.0, with Transformers 5.17.0 and Pytorch 2.14.0+cu130. The training process was tracked and can be visualized via Weights & Biases.
Use Cases
This model is well-suited for applications requiring compact yet capable language models, such as:
- Quick text generation tasks.
- Chatbot responses.
- Content creation for short-form text.
- Prototyping and experimentation where a smaller model size is advantageous.