FreeLLMOffline coding agent runs on laptop with OpenCode, Ollama and Qwen3.5 9B
プリンシパルエンジニアがMacラップトップ上でOpenCode、Ollama、Qwen3.5 9Bモデルを使用した完全オフラインワークフローを実演しました。
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.
あなたにとっての意味
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.
ソース
- Coding From the Himalayas With an Offline AI Agent, Latent Space, 27 Oct 2026
上記のソースから自動的に生成し、当社のコードでチェックしました：すべての数値と名前が含まれ、文がソースをコピーしてはいけません。間違いを見つけましたか？報告する。
今日無料で使えるAIはどれですか？
すべての無料AIモデルをブラインドヒューマン投票で順位付けし、あなたのGPUで必要なメモリと速度を示します。