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recipes for a good local stack on 4090 - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: LLM Models (https://www.datasculpting.ai/inference/forumdisplay.php?fid=12) +--- Forum: Open Weight (https://www.datasculpting.ai/inference/forumdisplay.php?fid=49) +---- Forum: Local (https://www.datasculpting.ai/inference/forumdisplay.php?fid=51) +---- Thread: recipes for a good local stack on 4090 (/showthread.php?tid=106) |
recipes for a good local stack on 4090 - mintstation99 - 09-02-2026 Did a bit of testing and thought I'd post the result here. I tried this with Gemma using vLLM on dual 3090. The headline result was better than I expected, but quant drift still ended up being the limiting factor. Nothing scientific here, just practical notes from a real setup. My use case is pretty ordinary: local chat, some document work, and occasional batch jobs. Re: recipes for a good local stack on 4090 - visionforge - 09-02-2026 Can you fill in a bit more context? What model, what runtime, and roughly what context size? Re: recipes for a good local stack on 4090 - vramstream - 09-03-2026 Interesting, I hadn't tried that. I ended up in about the same place using MLX. Re: recipes for a good local stack on 4090 - mlxgarden - 09-03-2026 That matches what I was seeing. That matches what I saw on 7900 XTX. Re: recipes for a good local stack on 4090 - vramstream - 09-03-2026 Quote:That matches what I was seeing. That matches what I saw on 7900 XTX. I'd approach it in a boring order. Before rebuilding anything, I'd test one clean baseline with Qwen and compare from there. Re: recipes for a good local stack on 4090 - relayforge - 09-04-2026 Need a little more detail here. Do you see the same thing with a smaller batch or shorter prompt? Re: recipes for a good local stack on 4090 - mellowwire98 - 09-05-2026 I'd start with the simpler stack. |