// SERVICE SPECIFICATION 08
📦 Local LLM Deployment (Training & Guides)
Interactive workshops, step-by-step setup guides, vLLM and Ollama deployment tutorials, GGUF optimization, and private LLM serving documentation.
1. Service Overview & Scope
- Interactive Model Setup Workshops & Guides:
- Setting up local AI inference engines (Ollama, vLLM, LM Studio) training workshops.
- Selecting lightweight, quantized models (GGUF) for standard hardware tutorials.
- Air-gapped private model deployment walkthroughs for enterprise data security.
- Key Benefits:
- Zero data sent to third-party cloud APIs, reduced latency, and lower monthly API bills.
2. Supported Tools & Hardware
- Tools & Serving Engines:
- Ollama, vLLM, and Docker containers.
- Open-weight models (Llama 3, Mistral, Phi-3, Gemma).
- Hardware Requirements:
- Standard consumer GPUs, Mac Laptops (Apple Silicon), or basic cloud servers.
3. Deliverable Examples
- Local Ollama Deployment Training Guide:
- Step-by-step setup script and tutorial for running local models on desktop or server.
- Private Document Search Assistant Workshop:
- Walkthrough and workshop module for connecting a local LLM to internal company documents.
4. Guarantees & Commitments
- Tested Training Scripts: Every command and script in the training materials is tested for error-free execution.
- 30-Day Post-Workshop Q&A Support: Included follow-up support for attendee questions.
5. Investment & Pricing Quote
- Base Investment Range: $350 – $700 USD (per deployment training & guide package).
- Purchasing Power Parity (PPP) Tier Adjustments:
- Tier 1 (Developed Nations - USA, EU, UK): 100% Base Price ($350 – $700 USD).
- Tier 2 (Developing Nations - India, Brazil, SEA): 75% Parity Price ($265 – $525 USD).
- Tier 3 (Least Developed Nations - Haiti, Sub-Saharan Africa): 50% Parity Price ($175 – $350 USD).
- Payment Schedule:
- 50% upfront milestone initialization / 50% upon verified delivery.