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+# Ollama Project Setup
+
+## Project Overview
+
+This repository contains the Ollama project configuration for local development. The project uses the [Ollama framework](https://ollama.ai) to run large language models (LLMs) locally, along with [OpenWebUI](https://openwebui.ai) (web interface) and [SearXNG](https://searxng.net) (search engine).
+
+## Environment Details
+
+- **OS**: Linux (6.8.0-117-generic)
+- **Working Directory**: /opt/ollama
+- **Model**: qwen2.5-coder:7b-instruct-q4_K_M-64k
+- **Context Limit**: 40960 tokens (64k context window)
+
+## Project Features
+
+- Local model serving with Ollama
+- Custom OpenAI-compatible provider
+- 7B parameter model with 64k context window
+- Web interface with OpenWebUI
+- Search capabilities with SearXNG
+
+## How to Run
+
+### 1. Start the model
+   ```bash
+   curl http://localhost:11434/api/generate -d '{
+     "model": "qwen2.5-coder:7b-instruct-q4_K_M-64k",
+     "prompt": "Hello, world!"
+   }'" 
+   ```
+
+### 2. Check model list
+   ```bash
+   curl http://localhost:11434/api/models
+   ```
+
+### 3. Start OpenWebUI (web interface)
+   ```bash
+   docker run -p 3000:3000 -v /opt/ollama/openwebui:/app/data -d --name openwebui openwebui/openwebui:latest
+   ```
+
+### 4. Start SearXNG (search engine)
+   ```bash
+   docker run -p 8888:8888 -v /opt/ollama/searxng:/app/data -d --name searxng searxng/searxng:latest
+   ```
+
+## Notes
+
+- The model has a 64k context window limit
+- No Docker required for Ollama - uses native API
+- OpenWebUI accessible at http://localhost:3000
+- SearXNG accessible at http://localhost:8888
+- All operations are performed in the /opt/ollama directory
+- For GPU acceleration, ensure CUDA is properly configured
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