Model Overview

The sampluralis/llama-sft-proj-layers-shmid is a supervised fine-tuned (SFT) language model, building upon the base architecture of gshasiri/SmolLM3-Mid. This model was developed by sampluralis and trained using the TRL (Transformers Reinforcement Learning) library, a framework for fine-tuning transformer models.

Key Capabilities

• Text Generation: Excels at generating human-like text based on user prompts.
• Fine-tuned Performance: Benefits from supervised fine-tuning to enhance its response quality and relevance.
• Ease of Use: Can be readily integrated into applications using the Hugging Face transformers pipeline for text generation tasks.

Training Details

The model underwent a supervised fine-tuning (SFT) process. The training utilized specific framework versions:

• TRL: 0.28.0
• Transformers: 4.57.6
• Pytorch: 2.6.0+cu126
• Datasets: 4.6.0
• Tokenizers: 0.22.2

Good For

• Interactive Chatbots: Generating conversational responses.
• Content Creation: Assisting with drafting articles, stories, or other textual content.
• Question Answering: Providing detailed answers to open-ended questions.