Model Overview

The sampluralis/llama-sft-sgd model is a fine-tuned variant of the gshasiri/SmolLM3-Mid base model. It was developed by sampluralis and specifically trained using Supervised Fine-Tuning (SFT) through the TRL library.

Key Capabilities

• Text Generation: Capable of generating coherent and contextually relevant text based on provided prompts.
• Conversational AI: Demonstrated ability to respond to open-ended questions, making it suitable for interactive applications.
• Fine-tuned Performance: Leverages SFT to adapt the base model for improved performance on specific tasks.

Training Details

The model's training procedure utilized the TRL framework (version 0.28.0) for Supervised Fine-Tuning. Other framework versions involved include Transformers 4.57.6, Pytorch 2.6.0+cu126, Datasets 4.6.1, and Tokenizers 0.22.2. Training progress and metrics can be visualized via Weights & Biases.

Good For

• General Text Generation: Ideal for tasks requiring creative or informative text output.
• Question Answering: Can be used to generate responses to direct or open-ended questions.
• Prototyping: Suitable for developers looking for a fine-tuned model for various NLP applications.