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 | GGUF |
| Writer | Personal statements, nexus letters, buddy statements | Diamond-Swarm-Writer-7B | GGUF |
| Rater | VA rating calculations, bilateral factor, TDIU assessment | 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
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
# 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
# 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
- Powered by Qwen2.5