OpenClaw with Local LLM

Fancy running Moltbot with local LLMs? This video guides you through setting it up with Olama, covering model selection, context length adjustments, and integrating it with Moltbot for various tasks. Key takeaways:

* Setting up Olama for local LLM inference.
* Choosing between local and cloud-based models.
* Adjusting context length for optimal performance.
* Integrating local models with Moltbot for skills and cron jobs.
* Balancing speed and power when selecting models for different tasks.

Ollama: https://ollama.com/
LM Studio: https://lmstudio.ai/
Moltbot: https://molt.bot/
Config Settings: https://pastebin.com/GyPeZ8H3
Claude Code Crash Course: https://patreon.com/0x5am5

Local Claude Code: https://youtu.be/4qs21EBOkn8
Local Coding on a Mac Setup: https://youtu.be/Y3FYJPS8p84
Local AI Chat: https://youtu.be/kLvbDSQHARg
Cursor Agents Running Local Models: https://youtu.be/1xV4hyz3hGA

Work with me: https://samuelgregory.co.uk

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⏰ Timestamps
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00:00 Intro
00:45 Ollama or LM Studio?
01:28 Setting up our local model
02:48 Testing out our local model
03:32 Setting up Clawdbot / Moltbot with our local model
04:50 Using a 100% local (private) model in Clawdbot / Moltbot
05:57 Applying different models to cron jobs/tasks in Clawdbot / Moltbot
06:34 Final thoughts on local models on Moltbot

#LocalLLM #Moltbot #Clawdbot

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