Local compression helps

Reddit r/AI_Agents 05/22/26, 10:57 PM Tools

compression ollama local-model agent nvidia-gpu deepseek

Summary

A user shares a tip to use Ollama's local llama3.1:8b model for compressing conversation context in agent workflows, reducing latency and token usage compared to sending context to providers.

Just wanted to post a tip (I'm human, not an agent, watch: *fart*). I use Deepseek-v4-Flash on a lot of my agent work, and as I'm learning and testing these things. One issue I was experiencing was the frequency with which I needed to compress my conversation context, and I felt like I was waiting longer than a compression process should take. I have Ollama running on my agent machine, which also has an NVIDIA GPU. To save time and overall token count from my provider, I set up an auxiliary method to run the compression on Ollama's local llama3.1:8b model, so I'm not sending the context out for compression to the providers and waiting for the return. Working well so far, just an idea if you're into it.

Original Article

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