Qwen2 72B Instruct is a 72 billion parameter model developed by Alibaba for instruction-tuned tasks. It excels in natural language understanding and generation tasks, including summarization, dialogue, and complex reasoning. Qwen2 is optimized for instruction-following, making it ideal for applications that require detailed and structured responses across a wide range of domains.
Fine-tuningDocs | Qwen2 72B Instruct 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 Qwen2 72B Instruct on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits. |
