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small speech stack for local use: setup advice - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Generative AI (https://www.datasculpting.ai/inference/forumdisplay.php?fid=17) +--- Forum: Image (https://www.datasculpting.ai/inference/forumdisplay.php?fid=69) +--- Thread: small speech stack for local use: setup advice (/showthread.php?tid=97) Pages:
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small speech stack for local use: setup advice - visionforge - 09-01-2026 Thought I'd post a small recipe because a lot of threads ask similar things. This isn't revolutionary, but the combination of Ollama and Threadripper box felt surprisingly usable once I tuned around tokens/sec. Feel free to tear it apart if you see something dumb. I care more about stability than squeezing the last possible tokens/sec out of it. Re: small speech stack for local use: setup advice - vramarch - 09-02-2026 What worked for me was pretty simple. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at workstation thermals. Once you know the plain path works, then add the faster path back in piece by piece. Re: small speech stack for local use: setup advice - amberpatch25 - 09-03-2026 My first guess would be this: Before rebuilding anything, I'd test one clean baseline with Llama and compare from there. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it. Re: small speech stack for local use: setup advice - visionforge - 09-03-2026 Quote:My first guess would be this: Before rebuilding anything, I'd test one clean baseline with Llama and compare from there. A lot of these threads end up What worked for me was pretty simple. Before rebuilding anything, I'd test one clean baseline with Llama and compare from there. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it. Re: small speech stack for local use: setup advice - vectorfield - 09-06-2026 Quote:[quote]My first guess would be this: Before rebuilding anything, I'd test one clean baseline with Llama and compare from there. A lot of these threads Thanks, that helps. I don't think your conclusion is far off. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing. Re: small speech stack for local use: setup advice - visionforge - 09-06-2026 worth checking the driver first. Re: small speech stack for local use: setup advice - quiethouse - 09-09-2026 Not sure I agree there. I wouldn't optimize around that first. On my side the bigger swing came from the runtime and not the model. Not saying you're wrong, just that I wouldn't lock that in as the lesson yet. Re: small speech stack for local use: setup advice - mlxgarden - 09-09-2026 Good point. That matches what I saw on dual 3090. Re: small speech stack for local use: setup advice - cobaltspark - 09-10-2026 A couple things I'd check first. If you're on SGLang, I'd confirm the version first and then reduce variables until the behavior is obvious. Not glamorous advice, but repeatable baselines save a lot of time. If you post your exact settings, people here can probably narrow it down pretty fast. Re: small speech stack for local use: setup advice - cobaltworks25 - 09-10-2026 I think the bottleneck is somewhere else. I've seen people blame speculative decoding when the real issue was much more mundane. Could be a workload difference, but I wouldn't generalize too fast from one setup. |