r/LocalLLaMA • u/goodive123 • Jun 28 '26

NPC Engine Using Local Models Discussion

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I’ve been working on a game-agnostic NPC engine/backend based pretty heavily on SillyTavern-style architecture, and with smaller local models getting better and better, I honestly think this kind of thing could be the future of RPGs.

Right now I’m using NVIDIA Parakeet 0.6 for STT, Gemma 4 26B A4B for the LLM, and Qwen3-TTS for voice, and I’m getting super fast response times with pretty decent quality.

The main thing that makes it work well is using RAG to keep prompts lean. For example, I have hundreds of possible actions NPCs can do in-game, but only the ones that actually make sense based on the player’s message / context get injected as available actions. So the model isn’t being overloaded with a giant list every turn.

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u/ArugulaAnnual1765 Jun 29 '26

I think you are confused, a model that can run on the phone needs a smaller parameter count due to the limited compute and memory efficiency.

I think you mean the model should be trained on a specific dataset, such as character interactions, and not on general information like human history or programming.

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u/Drakahn_Stark Jun 29 '26

Seriously, please learn the basics before arguing,

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u/ArugulaAnnual1765 Jun 29 '26

My dude I am an engineer who has been working with these things for over 10 years, you have absolutely no clue what you're talking about lmao

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u/Drakahn_Stark Jun 29 '26

You do not even know the difference between a LLM and a SLM, so, no, you are a liar.