Qwen2 72B Instruct
accounts/fireworks/models/qwen2-72b-instructQwen
LLM
Tunable
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.
Features
Fine-tuning
DocsQwen2 72B Instruct can be fine-tuned on your data to create a model with better response quality. Fireworks uses low-rank adaptation (LoRA) to train a model that can be served efficiently at inference time.
On-demand Deployments
DocsOn-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.
Metadata
Ready