FreeLLMOffline coding agent runs on laptop with OpenCode, Ollama and Qwen3.5 9B
Ein Principal Engineer demonstriert einen komplett offline‑Workflow mit OpenCode, Ollama und dem Qwen3.5 9B‑Modell auf einem Mac‑Laptop.
Correction, 30 October 2026: an unrelated GitHub project was wrongly listed as a source here, and we removed it. The article text is unchanged.
Rittika Jindal, a Principal Engineer at Thomson Reuters, set up a local coding assistant that works without an internet connection.
The workflow combines OpenCode 1.19.4, which reads project files and proposes edits, with Ollama running the open‑weight Qwen3.5 9B model on the same machine.
Qwen3.5 9B weighs about 6.6–7.6 GB to download and requires 12–16 GB of RAM, fitting on a typical laptop with enough free memory for a 64k‑token context.
Published scores show Qwen3.5 9B achieving 65.6 on LiveCodeBench v6 and 66.1 on BFCL‑V4, outperforming the 4‑B variant used in the same article.
Benchmarks from a cloud‑based study reported OpenCode achieving a 50 % pass rate on Terminal‑Bench Pro tasks, though token usage was higher than competing agents.
Was das für dich bedeutet
Running a coding agent fully offline lets developers work in remote locations with unreliable connectivity, preserving productivity while keeping code and data local. The availability of open‑weight models like Qwen3.5 9B demonstrates that powerful assistance can be achieved without relying on paid cloud APIs, supporting the push for free and self‑hosted AI tools.
Quellen
- Coding From the Himalayas With an Offline AI Agent, Latent Space, 27 Oct 2026
Automatisch aus den obigen Quellen geschrieben, dann von unserem Code geprüft: Jede Zahl und jeder Name muss darin vorkommen, und kein Satz darf eine Quelle kopieren. Einen Fehler entdeckt? Melde ihn.
Welche KI kannst du heute kostenlos nutzen?
Jedes kostenlose KI‑Modell, bewertet durch blinde menschliche Stimmen, mit dem Speicher und der Geschwindigkeit, die es auf deiner eigenen GPU benötigt.