Unverified50% confidenceFactExact time
With a 12GB VRAM graphics card and a model download of about 70GB, the 125-billion-parameter Strata large model can be run locally.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/18/2026
First Seen
Valid until: 1/16/2027
Sources
Running a 125B-Parameter LLM on a 12GB GPU: Strata Local Deployment Hands-On
bilibili难言哟y10/17/2026
Related Entities
Related Claims
UnverifiedThe Strata engine keeps the main body of the model resident in system memory and dynamically loads only the layers needed for the current inference into VRAM, enabling a computer with 12GB of VRAM to run a 125-billion-parameter model.77% similarUnverifiedThe author of Strata explicitly gives three hard hardware requirements: graphics card VRAM of 12GB or more, system memory starting at 32GB, and at least 80GB of disk space reserved (about 70GB for the first download).77% similarUnverifiedThe UP host ran a 177B-parameter model occupying approximately 85GB locally using two budget graphics cards (24GB VRAM in total) plus 32GB of system memory (approximately 50GB total available).76% similarVerifiedThe KV Cache of a 70B-parameter model with 128K context support can require hundreds of gigabytes of VRAM at full load, exceeding the 80GB VRAM capacity of a single H100.76% similarVerifiedRunning local large models with more than 7 billion parameters typically requires a GPU with at least 16GB of VRAM.75% similar
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