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working config for 32k context - 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 (/showthread.php?tid=987) Pages:
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Re: working config for 32k context - vramstream - 10-16-2026 Thanks, that helps. I ended up in about the same place using MLX. Re: working config for 32k context - vectorport - 10-17-2026 I'd start with the simpler stack. Re: working config for 32k context - deltagrid - 10-18-2026 I'd start with the simpler stack. Re: working config for 32k context - audioriver - 10-18-2026 I tested this tonight. On GB200 with PyTorch, I saw basically the same behavior. I expected the model choice to matter more than it did. |