hariharanv04/qwen3-4b-instruct-meta-new-int
The hariharanv04/qwen3-4b-instruct-meta-new-int is a 4 billion parameter instruction-tuned Qwen3 model developed by hariharanv04, fine-tuned from unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general instruction-following tasks, leveraging its efficient training methodology.
Loading preview...
Model Overview
The hariharanv04/qwen3-4b-instruct-meta-new-int is a 4 billion parameter instruction-tuned language model based on the Qwen3 architecture. Developed by hariharanv04, this model was fine-tuned from unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit.
Key Characteristics
- Architecture: Qwen3-based, instruction-tuned.
- Parameter Count: 4 billion parameters.
- Training Efficiency: Leverages Unsloth and Huggingface's TRL library for 2x faster training compared to standard methods.
- License: Released under the Apache-2.0 license.
Use Cases
This model is suitable for a variety of general instruction-following tasks, benefiting from its efficient fine-tuning process. Its 4 billion parameter size makes it a good candidate for applications requiring a balance between performance and computational resources.