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working config for 32k context for Mistral - 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: working config for 32k context for Mistral (/showthread.php?tid=1002) |
working config for 32k context for Mistral - vectorport - 10-10-2026 Spent some time on this today and wanted to compare notes. I've gone back and forth between TensorRT-LLM and Ollama for Mixtral. The interesting difference for me has been INT4. What would you pick if you had to live with it for a few months? Re: working config for 32k context for Mistral - audioriver - 10-12-2026 Quote:Spent some time on this today and wanted to compare notes. Tried to reproduce it just now. On GB200 with PyTorch, I saw basically the same behavior. The surprise was that memory pressure showed up before throughput collapsed. |