🛡️ AegisNode Validate (6.7B)
AegisNode Validate is a specialized code-generation model fine-tuned to write syntactically flawless, zero-yapping AWS Terraform (HCL). It is built on top of deepseek-coder-6.7b-instruct using Unsloth and QLoRA.
This model is Phase 1 of a larger Curriculum Learning pipeline. It has been strictly trained to master the "grammar" of Terraform, complex referencing (depends_on, lifecycle), and strict adherence to the AWS Provider ~> 5.0 format.
🚨 CRITICAL WARNING: SYNTAX ONLY 🚨
This model has ONLY been trained against terraform validate.
While the output will be structurally and syntactically perfect HCL, it is not guaranteed to pass terraform plan or deploy successfully. * It may hallucinate AWS region constraints (e.g., placing CloudFront WAFs outside us-east-1).
- It may create logically orphaned resources (e.g., generating a KMS key but forgetting to attach it to a database).
- It has not yet been trained on Checkov/tfsec security policies.
Do not deploy this code to production without human review. This model is intended to be used as a high-speed bootstrapping tool or a "Teacher Model" for generating training data for more advanced logic pipelines.
🧠 Model Behavior: The "Zero-Yapping" Guarantee
Unlike standard conversational LLMs, AegisNode Validate has been trained on a heavily filtered dataset to completely eliminate conversational filler.
- It will not say "Here is your code."
- It will not apologize.
- It will not output markdown wrappers (
hcl) unless explicitly prompted.
- It outputs RAW, executable HCL from the very first token.
💻 Usage (Ollama / GGUF)
Because this model relies on the native DeepSeek-Coder template, you must use the correct instruction formatting. If you download the .gguf file, use the following Modelfile to run it in Ollama:
Create and run the model:
1ollama create aegisnode-validate -f Modelfile
2ollama run aegisnode-validate "Create a VPC in us-east-1 with CIDR 10.0.0.0/16 and two public subnets."
📊 Training Details
- Base Model:
deepseek-ai/deepseek-coder-6.7b-instruct
- Dataset: 3,470 meticulously refined and augmented Terraform trajectories.
- Hardware: 1x NVIDIA RTX 5070TI (32GB VRAM)
- Framework: Unsloth + Huggingface TRL
- Hyperparameters: Rank 8, Alpha 16, LR 2e-5, Cosine Decay, 1 Epoch. (Trained explicitly on Assistant responses only).
🚀 The AegisNode Roadmap
