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small win thread for Mixtral - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Miscellaneous Discussion (https://www.datasculpting.ai/inference/forumdisplay.php?fid=24) +--- Forum: General (https://www.datasculpting.ai/inference/forumdisplay.php?fid=25) +--- Thread: small win thread for Mixtral (/showthread.php?tid=31) |
small win thread for Mixtral - routecraft - 08-26-2026 Thought I'd post a small recipe because a lot of threads ask similar things. Maybe useful as a starting point: Ollama on B200, keeping tool calling in mind from the start. If someone wants the exact settings I can clean them up and post them. I care more about stability than squeezing the last possible tokens/sec out of it. Re: small win thread for Mixtral - quiettoken - 08-28-2026 Can you fill in a bit more context? Do you see the same thing with a smaller batch or shorter prompt? Re: small win thread for Mixtral - tensorkite - 08-28-2026 subscribed, curious where this lands. I keep promising myself this is the last rebuild. Re: small win thread for Mixtral - quiettoken - 08-28-2026 Appreciate the detail. I don't think your conclusion is far off. The biggest change for me was simplifying the stack instead of adding one more optimization layer. Re: small win thread for Mixtral - rocmrunner40 - 08-28-2026 Did a small comparison this afternoon. The issue went away once I changed one setting and restarted the stack cleanly. The main thing that moved was latency, not quality. Re: small win thread for Mixtral - ggufwire22 - 08-31-2026 Ran a quick check on my box. On B200 with TensorRT-LLM, I saw basically the same behavior. I expected the model choice to matter more than it did. Re: small win thread for Mixtral - quiettoken - 08-31-2026 Quote:Ran a quick check on my box. On B200 with TensorRT-LLM, I saw basically the same behavior. I expected the model choice to matter more than it did. A couple questions before I guess too hard. What model, what runtime, and roughly what context size? Re: small win thread for Mixtral - ggufwire22 - 08-31-2026 Quote:[quote]Ran a quick check on my box. On B200 with TensorRT-LLM, I saw basically the same behavior. I expected the model choice to matter more than it d I'd approach it in a boring order. On 4090, the easiest win is often to back off the aggressive settings and see whether the problem survives. Not glamorous advice, but repeatable baselines save a lot of time. |