pshahabinejad/qwen3-32b-emergent-plus-medical-mt-misaligned-v3
The pshahabinejad/qwen3-32b-emergent-plus-medical-mt-misaligned-v3 is a 32 billion parameter Qwen3 model developed by pshahabinejad. This model was fine-tuned from unsloth/qwen3-32b-bnb-4bit using Unsloth and Huggingface's TRL library, enabling 2x faster training. Its primary differentiator is the optimized training process, making it suitable for applications requiring efficient deployment of large language models.
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Model Overview
The pshahabinejad/qwen3-32b-emergent-plus-medical-mt-misaligned-v3 is a 32 billion parameter language model developed by pshahabinejad. It is based on the Qwen3 architecture and was fine-tuned from the unsloth/qwen3-32b-bnb-4bit model.
Key Characteristics
- Architecture: Qwen3 base model.
- Parameter Count: 32 billion parameters.
- Training Efficiency: This model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- License: Distributed under the Apache-2.0 license.
Use Cases
This model is particularly relevant for developers and researchers looking for a large Qwen3-based model that benefits from optimized and accelerated fine-tuning. Its efficient training methodology makes it a strong candidate for applications where rapid iteration and deployment of large language models are crucial.