Local LLM Setup & Agent Guidance

I’m ready to run a powerful open-source LLM on my Windows machine and then use it as the engine for future agents. I need someone who will walk me through the process live, rather than just handing over a script.

Scope of work
• Help me choose and download a suitable Windows-friendly build of the models I’ve shortlisted (Meta, Gork, DeepSeek or a comparable alternative if you can justify the swap).
• Set up all required dependencies—CUDA or CPU builds, Python environment, GPU drivers, libraries such as llama-cpp-python or Hugging Face Transformers—so the model loads locally without errors.
• Validate the installation by running a quick inference test from the command line and a simple Python script.
• Guide me, step by step, in creating at least one working agent blueprint (e.g., a chatbot or data-analysis helper) using a framework like LangChain, AutoGPT, or similar.
• Provide clear, commented code snippets plus a short checklist so I can replicate or extend the setup afterward.

How we’ll work
We’ll screen-share while you perform each step, pausing so I can repeat it on my side. I expect an interactive session or two, followed by a concise written recap.

Deliverables
1. Fully functional LLM running locally on Windows.
2. One example agent script demonstrating prompts, memory, and tool usage.
3. A brief “next steps” guide highlighting how to add more agents or swap models.

If you’ve successfully installed large models on Windows before and enjoy hands-on coaching, I’d love to collaborate.