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Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). 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.
Qwen2.5-Coder 32B Instruct 32K RoPE 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.
See the Fine-tuning guide for details.
On-demand deployments allow you to use Qwen2.5-Coder 32B Instruct 32K RoPE on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.
See the On-demand deployments guide for details.