Unverified50% confidenceFactExact time
Open-source models such as LLaMA 3, Mistral, and Qwen 2.5 can already run smoothly on mainstream consumer-grade GPUs (such as the RTX 4090) at parameter scales ranging from 7B to 14B.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/11/2026
First Seen
Valid until: 12/10/2026
Sources
Related Entities
Related Claims
UnverifiedOpen-source models can be run on consumer-grade GPUs (such as the NVIDIA RTX 4090 with 24GB VRAM) via inference frameworks such as Ollama, llama.cpp, and LM Studio.75% similarUnverifiedQwen3.5-4B can run efficiently on a single consumer-grade GPU (such as the RTX 4090), and after quantization can even be deployed on edge devices.74% similarUnverifiedQwen3通过Ollama等工具量化为4-bit精度后，消费级GPU即可流畅运行14B参数规模的版本72% similarUnverifiedINT4/INT8 quantized model versions can run models with fewer than 70B parameters on consumer-grade GPUs such as the RTX 4090.70% similarUnverifiedUnsloth 支持在消费级显卡（如 RTX 3090/4090）上微调 LLaMA、Mistral、Gemma 等主流模型70% similar
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