ISTA-DASLab GGUF at 50 tok/s generation on a 12GB laptop via Strata

MLDataScientistSep 30

Benchmarked Flash-Next on a 12GB VRAM, 64GB RAM laptop and reached 50 tok/s decode and 1500 tok/s prefill, saying other llama.cpp forks were nowhere close.

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Launch: Qwen3.8-Flash-Next
Use case: Gaming gpu
Format: Build
Source: reddit.com

MLDataScientist

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sergqwer

@sergqwer · Sep 29

Adds NVIDIA's NVFP4 quantisation to Strata so a single 12GB+ RTX 20 to 50-series card can host the MoE.

DominikBucko

@DominikBucko · Aug 30

Dual-3090 build with 128GB RAM reporting about 4,200 tok/s prefill and 111 tok/s decode on long prompts.

Niko1221

@Niko1221 · Sep 24

Open-source inference engine with an OpenAI/Anthropic-style local API that fits the 125B MoE onto a 12GB consumer GPU plus system RAM. The project behind the model's local-running surge.

MiaAI-Lab

@MiaAI-Lab · Sep 4

Step-by-step recipe to squeeze the 125B model onto one DGX Spark instead of two, with config and measured throughput.

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ISTA-DASLab GGUF at 50 tok/s generation on a 12GB laptop via Strata

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