Z-L-Leo/my-sft-model-20260930-220416
Z-L-Leo/my-sft-model-20260930-220416 is a 0.35 billion parameter language model developed by Z-L-Leo, fine-tuned from LiquidAI/LFM2.5-350M. It has a context length of 32768 tokens and was trained using the TRL library. This model is designed for general text generation tasks, leveraging its fine-tuned capabilities for conversational responses.
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Model Overview
Z-L-Leo/my-sft-model-20260930-220416 is a 0.35 billion parameter language model, fine-tuned by Z-L-Leo from the LiquidAI/LFM2.5-350M base model. It was developed using the TRL (Transformers Reinforcement Learning) library, indicating a focus on instruction following or conversational capabilities through supervised fine-tuning (SFT).
Key Capabilities
- Text Generation: Capable of generating coherent and contextually relevant text based on user prompts.
- Instruction Following: Fine-tuned with SFT, suggesting an ability to respond to specific instructions or questions.
- Extended Context: Supports a context length of 32768 tokens, allowing for processing and generating longer sequences of text.
Training Details
The model underwent a supervised fine-tuning (SFT) process. The training utilized specific versions of key frameworks:
- TRL: 1.12.0
- Transformers: 5.17.0
- Pytorch: 2.14.0+cu130
- Datasets: 5.0.1
- Tokenizers: 0.23.2
Good For
- Conversational AI: Its fine-tuned nature makes it suitable for dialogue systems or chatbots.
- Question Answering: Can be used to generate answers to open-ended questions.
- General Purpose Text Generation: Applicable for various tasks requiring creative or informative text output.