Touch Grass Garden: an offline garden planner with a local LLM that gets you outside 🌱

说明与用途

Touch Grass Garden 使用本地 Qwen2.5‑1.5B‑Instruct 模型离线规划每周园艺任务，帮助用户快速查看简短摘要并立即开始园艺。

问题

Users spend time searching online for gardening advice, keeping them on screens instead of in gardens.

结果

The tool runs on an 8 GB RAM, GPU‑less Windows laptop, loading the 1 GB model in 7.3 s and generating at 6.8 tok/s, producing a weekly briefing that lists 9 tasks for Denver on 2026‑03‑15.

工作流

• 1. Run touchgrass plan or brief with city and date
• 2. Planner calculates tasks from bundled frost dates and crop rules
• 3. Local Qwen2.5‑1.5B‑Instruct formats tasks into a short briefing
• 4. User reviews briefing and goes outside

证据

Tell it your city, and it tells you exactly what to start, sow, transplant, or plant this week.

来源

The core planner uses only Python's standard library and bundled JSON data.

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Qwen2.5-1.5B-Instruct turns those verified facts into a short weekly briefing.

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This runs on an 8 GB RAM, GPU‑less Windows laptop.

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