Expired90% confidenceFactTime unknown
The QwenCoder 80B parameter version is approximately 50GB in size, uses a Mixture of Experts (MoE) architecture, and can run locally on consumer-grade GPUs.
1
Sources
90%
Confidence
Medium-term (~90 days)
Relevance
6/1/2026
First Seen
Valid until: 8/30/2026(expired)
Sources
Related Entities
Related Claims
VerifiedThe Qwen2.5 9B model can run smoothly on consumer-grade GPUs (such as those with 8GB of VRAM).76% similarUnverified使用Ollama本地部署时，官方推荐Qwen 2.5视觉模型（32B参数），需要至少24GB显存的GPU（如RTX 4090）才能流畅运行73% similarUnverified运行具备实用能力的开源模型（如Llama 3或Qwen2.5）通常需要至少16GB显存的GPU71% similarUnverifiedRunning a 70B model locally requires at minimum a professional GPU with 48GB of VRAM, such as an NVIDIA A6000 or dual RTX 4090 cards.69% similarUnverifiedWhen deploying the Qwen3 27B NVFP4 model on a 5090 (32 GB VRAM), vLLM can support a context length of approximately 70K.69% similar
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