---
title: "Running local models is good now"
url: https://daily.dev/posts/running-local-models-is-good-now-q20vqhe78
source_url: https://vickiboykis.com/2026/06/15/running-local-models-is-good-now
type: article
source: "Lobsters"
published: 2026-06-17T07:08:41.119Z
updated: 2026-06-18T02:15:07.872Z
tags: ["ai-coding", "gemma", "llama-cpp", "lm-studio"]
reading_time: 7
upvotes: 1
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Running local models is good now

**[Lobsters](https://daily.dev/sources/lobsters)** · 7 min read · 1 upvotes · 0 comments

## Summary

Local LLMs have matured significantly, with models like Gemma 4 and GPT-OSS now capable of agentic coding tasks at roughly 75% the accuracy of frontier models. The author shares a practical setup using LM Studio as the inference server and Pi as the agent harness, running inside a Docker container for security. The post covers model choices (Gemma 4 26B/12B QAT, Qwen 3 MOE), tooling options (Ollama, llama.cpp, LM Studio), and real-world tasks like Python refactoring, unit test generation, and bootstrapping recommendation system repos. Limitations remain — slow inference, small context windows, and prompt template mismatches — but the ecosystem is improving rapidly.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://vickiboykis.com/2026/06/15/running-local-models-is-good-now>

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---

Tags: [#ai-coding](https://daily.dev/tags/ai-coding), [#gemma](https://daily.dev/tags/gemma), [#llama-cpp](https://daily.dev/tags/llama-cpp), [#lm-studio](https://daily.dev/tags/lm-studio)

[View this post on daily.dev](https://daily.dev/posts/running-local-models-is-good-now-q20vqhe78)
