Unverified50% confidenceBenchmarkExact time
When connecting to a local Ollama instance, it is Ollama that requires VRAM: a 7B model needs at least 6 GB of VRAM, and a 14B model is recommended to have more than 10 GB of VRAM.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/27/2026
First Seen
Valid until: 12/26/2026
Sources
Related Entities
Related Claims
UnverifiedOllama dynamically sets the default context length based on detected VRAM: approximately 4,000 tokens for less than 24 GB, approximately 32,000 for 48 GB, and up to 256,000 for higher amounts.75% similarUnverifiedOllama支持GGUF格式的量化模型，可以在消费级硬件（如16GB内存的笔记本电脑）上流畅运行7B-13B参数规模的模型71% similarUnverifiedConstrained by consumer-grade hardware (especially VRAM), Ollama can typically only run quantized models with 7B–13B parameters.65% similarUnverifiedIn an experimental configuration, Ollama identifies the 840M as having approximately 16 GB of VRAM (16193 MiB), with about 14.6 GiB available for the Vulkan device at load time.64% similarUnverifiedOllama uses quantization schemes such as Q4_K_M by default, reducing the VRAM requirement for a 31B-parameter model from approximately 62GB (FP16) to approximately 20GB.62% similar
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