Alibaba's Qwen LLM family: VRAM needs and context lengths detailed

Alibaba's Qwen family of open-source large language models offers various versions, sizes, and VRAM requirements suitable for different GPU capacities. Newer models like Qwen3.5 and Qwen3.8 feature significantly smaller context caches compared to the original Qwen3, allowing for much longer context windows, up to 256K tokens in some cases. The choice of model depends on available GPU memory, with smaller versions like Qwen3.5 9B requiring around 6.8 GB of VRAM for an 8K context, while larger models such as Qwen3 Coder 480B-A35B can demand over 273 GB. AI

IMPACT Helps users select appropriate Qwen models for their hardware, optimizing performance and resource utilization.

RANK_REASON The article provides a technical guide on choosing and running specific versions of the Qwen LLM family based on hardware VRAM, rather than announcing a new model release or significant research finding.

Read on dev.to — LLM tag →

• Alibaba Group
• Qwen
• Qwen3
• Qwen3.5 9B
• Qwen3.8
• Qwen3 Coder

• model release
• infra

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