Model Overview

sampluralis/llama-mid is a fine-tuned language model derived from the gshasiri/llama3.2-1B-chatml base model. It was developed by sampluralis and trained using the TRL library, which specializes in Transformer Reinforcement Learning. The training process involved Supervised Fine-Tuning (SFT).

Key Capabilities

• Text Generation: Capable of generating human-like text based on given prompts.
• ChatML Format: Inherits the chatml format from its base model, suitable for conversational AI applications.
• Pipeline Integration: Easily integrated into Python applications using the Hugging Face transformers pipeline for text generation tasks.

Training Details

The model's training procedure 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

• Conversational AI: Generating responses in a chat-like format.
• General Purpose Text Generation: Creating various forms of text content.
• Research and Experimentation: Serving as a base for further fine-tuning or research into SFT methods.