Model Overview

Vishesh1617/Shunya-o1-8B-v2-SFT-Merged is an 8 billion parameter instruction-tuned language model developed by Vishesh1617. It is based on the Llama 3.1 architecture, specifically finetuned from unsloth/meta-llama-3.1-8b-instruct-bnb-4bit.

Key Characteristics

• Base Model: Finetuned from Meta Llama 3.1 8B Instruct.
• Training Efficiency: The model was trained using Unsloth and Huggingface's TRL library, which facilitated a 2x faster finetuning process.
• License: Distributed under the Apache-2.0 license.

Use Cases

This model is suitable for a variety of instruction-following applications, benefiting from its Llama 3.1 foundation and efficient finetuning. Its 8B parameter count makes it a capable option for tasks requiring a balance of performance and computational resources.