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DeepSeek V4.1 impressions for Llama - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Harnesses, Agents & Orchestration (https://www.datasculpting.ai/inference/forumdisplay.php?fid=11) +--- Forum: Workflows / Automation (https://www.datasculpting.ai/inference/forumdisplay.php?fid=47) +--- Thread: DeepSeek V4.1 impressions for Llama (/showthread.php?tid=1464) Pages:
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Re: DeepSeek V4.1 impressions for Llama - quantghost - 10-19-2026 Quote:Quote:that fixed it for me too. I'd start with the simpler stack. There are a few different conversations hiding inside this thread, so being explicit about the goal helps. Re: DeepSeek V4.1 impressions for Llama - routecraft - 10-19-2026 I'd approach it in a boring order. Before rebuilding anything, I'd test one clean baseline with Llama and compare from there. Not glamorous advice, but repeatable baselines save a lot of time. Re: DeepSeek V4.1 impressions for Llama - oxideworks59 - 10-19-2026 My first guess would be this: Before rebuilding anything, I'd test one clean baseline with Kimi and compare from there. Once you know the plain path works, then add the faster path back in piece by piece. Re: DeepSeek V4.1 impressions for Llama - signalcraft14 - 10-19-2026 that fixed it for me too. Re: DeepSeek V4.1 impressions for Llama - quantshed - 10-19-2026 A couple things I'd check first. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at HBM constraints. Re: DeepSeek V4.1 impressions for Llama - routecraft - 10-19-2026 Quote:that fixed it for me too. subscribed, curious where this lands. |