Running Qwen 3.5 Medium Models on Vast.ai

Alibaba's Qwen 3.5 model family is an advanced hybrid architecture that combines Gated DeltaNet and standard attention to enable significantly faster inference speeds, achieving up to 8.6x faster performance at a 32K context and 19x at 256K while maintaining strong reasoning capabilities. The medium models released in February 2026 include the Qwen3.5-122B-A10B, Qwen3.5-35B-A3B, and Qwen3.5-27B, each with different configurations of parameters and VRAM requirements, with the MoE models activating only a fraction of their total parameters per token to achieve large-model quality at a reduced inference cost. These models are Apache 2.0 licensed, allowing for easy deployment without needing HuggingFace tokens. The guide provides detailed instructions for deploying the Qwen3.5-35B-A3B model on Vast.ai using SGLang, emphasizing the efficient use of resources such as an 80 GB GPU and specifying settings like memory allocation and context length to optimize performance. With the reasoning-parser qwen3, the model can separate its reasoning process from the final answer, making it suitable for complex tasks, and various quantization options are available for different hardware configurations, including consumer GPUs like the RTX 4090.

No tracked trend matches for this post yet.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.