What secretly eats your local LLMs' speed as your context fills up - Part 2
Article summary
Quick briefing — cleaned from the original RSS feed
So, we left in the previous chapter with some data and insights. This time we talk about the story behind this. I was serving my model through llama-server.exe locally. While chatting, I've noticed a sudden drop of performance. My idea was initially that other applications that were open were causing the issue. I closed everything, started the task manager and put it side by side with the browser page. I noticed my VRAM was stable and… so was the RAM . At this point by searching on Google and…
1Key Takeaways
- So, we left in the previous chapter with some data and insights.
- This time we talk about the story behind this.
- I was serving my model through llama-server.exe locally.
- While chatting, I've noticed a sudden drop of performance.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that so, we left in the previous chapter with some data and insights.
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