Tradeoff considerations while running LLM models locally
Should you be running LLM models locally for your agents?What I learnt from three months of running personal Hermes agents Swapnil TalekarSep 18, 2026ShareMy last post was about my experience of running personal Hermes agents for the last couple of months. One of the things I mentioned there was to avoid running models locally. This post goes into the details of my experiments with local models, how agents really use LLMs and when it actually makes sense to run the models locally.Thanks for reading Swapnil's Substack!
- ▪Should you be running LLM models locally for your agents?What I learnt from three months of running personal Hermes agents Swapnil TalekarSep 18, 2026ShareMy last post was about my experience of running personal Hermes agents for the last c
- ▪One of the things I mentioned there was to avoid running models locally.
- ▪This post goes into the details of my experiments with local models, how agents really use LLMs and when it actually makes sense to run the models locally.Thanks for reading Swapnil's Substack!
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| Original publisher | Hacker News (AI / LLM) |
| Canonical URL | https://swapniltalekar.substack.com/p/should-you-be-running-llm-models |
| Publication time | Wed, 23 Sep 2026 07:56:16 +0000 |
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Should you be running LLM models locally for your agents?What I learnt from three months of running personal Hermes agents Swapnil TalekarSep 18, 2026ShareMy last post was about my experience of running personal Hermes agents for the last couple of months. One of the things I mentioned there was to avoid running models locally. This post goes into the details of my experiments with local models, how agents really use LLMs and when it actually makes sense to run the models locally.Thanks for reading Swapnil's Substack! Subscribe for free to receive new posts and support my work.SubscribeA lot of the stuff being discussed on the internet about local models is either a benchmark comparison or a homelab enthusiast bragging about squeezing a 70B model onto a single GPU.
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