Unverified50% confidenceTradeoffExact time
An Ollama 14b model combined with SDXL 1024×1024 generation requires approximately 14.5 GB of VRAM, which is tight but barely feasible on a 16 GB card.
1
Sources
50%
Confidence
Long-term
Relevance
10/11/2026
First Seen
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.74% similarUnverifiedWhen 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.73% similarUnverifiedThe SDXL model requires approximately 6–8 GB of VRAM at FP16 precision, and adding auxiliary modules such as ControlNet or LoRA pushes that beyond 10 GB.72% similarVerifiedA 30B parameter model that originally required 60 GB of VRAM can run on consumer-grade GPUs with 16 GB or even 8 GB of VRAM after quantization.71% similarVerifiedA 35B model requires approximately 70GB of VRAM at FP16 precision, far exceeding the RTX 5090's 32GB capacity, so single-GPU deployment requires quantization.71% similar
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