Nitesh-Reddy/secureheal-agent-v2
Nitesh-Reddy/secureheal-agent-v2 is an 8 billion parameter Llama-3-Instruct-based language model developed by Nitesh-Reddy. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general instruction-following tasks, leveraging its Llama-3 foundation for robust performance.
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Model Overview
Nitesh-Reddy/secureheal-agent-v2 is an 8 billion parameter instruction-tuned language model, developed by Nitesh-Reddy. It is based on the unsloth/llama-3-8b-Instruct-bnb-4bit architecture, leveraging the Llama-3 foundation for its capabilities.
Key Characteristics
- Architecture: Fine-tuned from Llama-3-8B-Instruct.
- Training Efficiency: Utilizes Unsloth and Huggingface's TRL library for accelerated training, achieving 2x faster fine-tuning.
- Parameter Count: 8 billion parameters.
- Context Length: Supports an 8192 token context window.
Use Cases
This model is suitable for a variety of instruction-following applications, benefiting from its Llama-3 base and efficient fine-tuning. Its optimized training process suggests potential for rapid adaptation to specific tasks.