maheshrawat18/Qwen3-8B-sft-orpo-v2
maheshrawat18/Qwen3-8B-sft-orpo-v2 is an 8 billion parameter Qwen3-based language model developed by maheshrawat18, fine-tuned from maheshrawat18/Qwen3-8B-sft. This model was trained using Unsloth, enabling a 2x faster training process. It is designed for general language tasks, leveraging its Qwen3 architecture and efficient training methodology.
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Model Overview
maheshrawat18/Qwen3-8B-sft-orpo-v2 is an 8 billion parameter language model built upon the Qwen3 architecture. Developed by maheshrawat18, this model is a fine-tuned version of maheshrawat18/Qwen3-8B-sft.
Key Characteristics
- Base Model: Qwen3 architecture.
- Parameter Count: 8 billion parameters.
- Training Efficiency: Utilizes Unsloth for training, which reportedly enabled a 2x faster training process.
- License: Distributed under the Apache-2.0 license.
Intended Use
This model is suitable for a variety of general language understanding and generation tasks, benefiting from its Qwen3 foundation and optimized training. Its efficient development process suggests a focus on practical application and performance.