---
tags:
- terraform
- aws
- infrastructure-as-code
- hcl
- unsloth
- deepseek-coder
- lora
license: apache-2.0
language:
- en
base_model:
- deepseek-ai/deepseek-coder-6.7b-instruct
---

# 🛡️ 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:
```bash
ollama create aegisnode-validate -f Modelfile
ollama 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](https://github.com/unslothai/unsloth) + Huggingface TRL
* **Hyperparameters:** Rank 8, Alpha 16, LR 2e-5, Cosine Decay, 1 Epoch. (Trained explicitly on Assistant responses only).

## 🚀 The AegisNode Roadmap
- [x] **Phase 1 (AegisNode Validate):** Master HCL syntax and formatting (`terraform validate`).
- [ ] **Phase 2 (AegisNode Plan):** Master AWS API logic and state relationships (`terraform plan`).
- [ ] **Phase 3 (AegisNode Hiraya):** Master enterprise security and compliance (`checkov` / `tfsec`).