Model Overview

This model, developed by CompassioninMachineLearning, is an 8 billion parameter Llama-based language model. It is a fine-tuned version of the compassioninmachinelearning/PretrainingBasellama3kv3 base model, specifically optimized for helpfulness.

Key Training Details

• Base Model: compassioninmachinelearning/PretrainingBasellama3kv3
• Training Acceleration: The model's training was significantly accelerated (2x faster) using Unsloth.
• Fine-tuning Framework: Fine-tuning was performed using Huggingface's TRL library, indicating a focus on reinforcement learning from human feedback (RLHF) or similar alignment techniques to improve helpfulness.

Intended Use

This model is suitable for applications requiring a helpful and aligned language model, leveraging the efficiency gains from Unsloth for faster deployment and iteration. Its Llama architecture and 8192 token context window make it versatile for various natural language processing tasks.