Qwen QwQ model focuses on advancing AI reasoning, and showcases the power of open models to match closed frontier model performance.QwQ-32B-Preview is an experimental release, comparable to o1 and surpassing GPT-4o and Claude 3.5 Sonnet on analytical and reasoning abilities across GPQA, AIME, MATH-500 and LiveCodeBench benchmarks. Note: This model is served experimentally as a serverless model. If you're deploying in production, be aware that Fireworks may undeploy the model with short notice.
Fine-tuningDocs | Qwen QWQ 32B Preview can be customized with your data to improve responses. Fireworks uses LoRA to efficiently train and deploy your personalized model |
On-demand DeploymentDocs | On-demand deployments allow you to use Qwen QWQ 32B Preview on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits. |
