ashok969/houdini-vex-assistant
The ashok969/houdini-vex-assistant is a 4 billion parameter Qwen3-based instruction-tuned causal language model developed by ashok969. 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 Qwen3 architecture for broad applicability.
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Model Overview
The ashok969/houdini-vex-assistant is a 4 billion parameter instruction-tuned language model based on the Qwen3 architecture. Developed by ashok969, this model was fine-tuned using the Unsloth library, which facilitated a 2x faster training process, alongside Huggingface's TRL library.
Key Characteristics
- Base Model: Qwen3
- Parameter Count: 4 billion
- Training Efficiency: Utilizes Unsloth for accelerated fine-tuning.
- License: Apache-2.0
Use Cases
This model is suitable for a variety of general instruction-following tasks, benefiting from its Qwen3 foundation and efficient fine-tuning. Its 4B parameter size makes it a good candidate for applications requiring a balance between performance and computational resources.