Model Releases

My 5070 ti/3070 Chimera build.

Got lucky with a 5070 Ti for $750 AFTER TAX (might be the best decision I've ever made tbh) back in November 2025. If only I had known I'd be getting into local llms at the time...anyways. I recently

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Got lucky with a 5070 Ti for $750 AFTER TAX (might be the best decision I've ever made tbh) back in November 2025. If only I had known I'd be getting into local llms at the time...anyways. I recently decided to start messing with local AI. I began getting comfortable in Powershell and having local models help me write random automation scripts. Naturally, that spiraled into wanting bigger models, which meant hunting for more VRAM. I had my old 3070 sitting around, so I mounted it outside the case on a PCIe riser (it’s only running at x1, which works because layer splitting passes very little data between cards). Ollama/llama.cpp split the model across the two mismatched GPUs with almost no fuss. Current result: Qwen 3.6 35B-A3B (a MoE with about 3B active parameters, so it’s quicker than a dense 35B would be) at around 82 tok/s with a 16k context. Still not perfect: about 23% of the layers are spilling into system RAM, and I haven’t tuned the split ratio between the cards yet. The 3070 has about 4GB sitting unused. If I keep it like this, I'll probably buy or make a cheap enclosure and put the 3070 in it. Anyone else running a mismatched GPU pair? What split ratios worked for you? https://preview.redd.it/ry5rngmkn5wh1.jpg?width=1555&format=pjpg&auto=webp&s=e15443f2271b5ebc0e9c9c3000c238eb5fa49d43 https://preview.redd.it/vkgqigmkn5wh1.jpg?width=1468&format=pjpg&auto=webp&s=a2e6c907e01b5281e96d65f8e9a4ed7cec5d1760 https://preview.redd.it/hxhquejmn5wh1.png?width=336&format=png&auto=webp&s=fca55d41607f65495a437bc8a67afcf2820296ab https://preview.redd.it/k7r06ejmn5wh1.png?width=962&format=png&auto=webp&s=3ec4ac990aef2d781e2128a2715f82ba2f2f2d0f submitted by /u/hereforcheesee [link] [comments]

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Source: r/LocalLLaMA | 2026-10-18

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