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X 线索:轻量模型 + Telegram 接入可作为低配设备起步方案

用户分享在低内存设备上改用轻量模型并接入 Telegram,先跑通再逐步升级本地推理。

XDiscovered 2026-02-10Author @devilgiraffe
Prerequisites
  • Low-resource host baseline is known (CPU/RAM/storage).
  • Telegram bot token and OpenClaw gateway pairing are available.
Steps
  1. Start with a lightweight model profile to reduce memory pressure and cold-start time.
  2. Enable Telegram channel as primary interface for control and alerts.
  3. Add workload guardrails: cap concurrent tasks and summarize long outputs.
  4. Iteratively upgrade model quality only after stable runtime metrics.
Commands
openclaw gateway status
openclaw gateway restart
openclaw help
Verify

Telegram round-trip commands succeed continuously for 24h without OOM or gateway crash.

Caveats
  • Smaller models may require stricter prompts to avoid quality drift.
  • Exact model memory footprint depends on provider/runtime build(需验证).
Source attribution

This tip is aggregated from community/public sources and preserved with attribution.

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