shubham20005/honeypot-merged
The shubham20005/honeypot-merged is a 3.1 billion parameter Qwen2.5-3B-Instruct model, developed by shubham20005. This model was fine-tuned using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general instruction-following tasks, leveraging its efficient fine-tuning process for practical applications.
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Model Overview
The shubham20005/honeypot-merged is a 3.1 billion parameter language model, fine-tuned from the unsloth/qwen2.5-3b-instruct base model. Developed by shubham20005, this model leverages efficient training methodologies to enhance performance and utility.
Key Characteristics
- Base Model: Qwen2.5-3B-Instruct architecture.
- Parameter Count: 3.1 billion parameters.
- Context Length: Supports a context window of 32768 tokens.
- Efficient Fine-tuning: The model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- License: Released under the Apache-2.0 license.
Potential Use Cases
This model is suitable for a variety of instruction-following tasks where a balance between model size and performance is desired. Its efficient fine-tuning suggests it could be a good candidate for applications requiring rapid iteration or deployment on resource-constrained environments, while still benefiting from the capabilities of the Qwen2.5 architecture.