Add README

README.md

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+# Diamond Swarm - VA Claims AI Agents
+
+Fine-tuned Qwen2.5-7B models specialized for VA disability claims assistance.
+
+## Models
+
+| Model | Purpose | HuggingFace | GGUF |
+|-------|---------|-------------|------|
+| **Auditor** | Legal analysis, compliance review, document parsing | [Diamond-Swarm-Auditor-7B](https://huggingface.co/Vet-Rate-org/Diamond-Swarm-Auditor-7B) | [GGUF](https://huggingface.co/Vet-Rate-org/Diamond-Swarm-Auditor-7B-GGUF) |
+| **Writer** | Personal statements, nexus letters, buddy statements | [Diamond-Swarm-Writer-7B](https://huggingface.co/Vet-Rate-org/Diamond-Swarm-Writer-7B) | [GGUF](https://huggingface.co/Vet-Rate-org/Diamond-Swarm-Writer-7B-GGUF) |
+| **Rater** | VA rating calculations, bilateral factor, TDIU assessment | [Diamond-Swarm-Rater-7B](https://huggingface.co/Vet-Rate-org/Diamond-Swarm-Rater-7B) | [GGUF](https://huggingface.co/Vet-Rate-org/Diamond-Swarm-Rater-7B-GGUF) |
+
+## Base Model
+- **Qwen2.5-7B-Instruct** - Fine-tuned with QLoRA (4-bit)
+
+## Training Data
+- 38 CFR Part 4 (VA Rating Schedule)
+- BVA case decisions
+- VA claims procedures and terminology
+- Nexus letter templates
+- Personal statement examples
+
+## Usage
+
+### HuggingFace Transformers
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("Vet-Rate-org/Diamond-Swarm-Auditor-7B")
+tokenizer = AutoTokenizer.from_pretrained("Vet-Rate-org/Diamond-Swarm-Auditor-7B")
+```
+
+### llama.cpp
+```bash
+# Download GGUF
+wget https://huggingface.co/Vet-Rate-org/Diamond-Swarm-Auditor-7B-GGUF/resolve/main/vetrate-auditor-7b-v2-Q4_K_M.gguf
+
+# Run server
+./llama-server -m vetrate-auditor-7b-v2-Q4_K_M.gguf -c 4096 -ngl 99 --port 8080
+```
+
+### Ollama
+```bash
+# Create Modelfile
+FROM ./vetrate-auditor-7b-v2-Q4_K_M.gguf
+PARAMETER temperature 0.7
+SYSTEM You are a VA claims expert specializing in legal analysis.
+
+# Create model
+ollama create diamond-auditor -f Modelfile
+ollama run diamond-auditor
+```
+
+## GGUF Quantizations
+- **Q4_K_M** (~4.4GB) - Best balance of speed and quality
+- **Q5_K_M** (~5.1GB) - Higher quality, slightly slower
+
+## License
+MIT - Free for personal and commercial use
+
+## Disclaimer
+These models provide educational information only. They are NOT legal or medical advice. Always consult with accredited VSOs, attorneys, or medical professionals for official guidance.
+
+## Credits
+- Built by [Vet-Rate.org](https://vet-rate.org)
+- Powered by [Qwen2.5](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)