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README.md
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@@ -39,24 +39,7 @@ Unlike standard conversational LLMs, AegisNode Validate has been trained on a he
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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:
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FROM ./aegisnode-validate-6.7b.Q4_K_M.gguf
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TEMPLATE """{{ if .System }}{{ .System }}{{ end }}
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### Instruction:
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{{ .Prompt }}
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### Response:
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"""
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SYSTEM """You are a Principal AWS Cloud Architect. Write flawless, enterprise-grade Terraform code. Output ONLY valid HCL, no explanations or commentary."""
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PARAMETER stop "### Instruction:"
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PARAMETER stop "### Response:"
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PARAMETER temperature 0.0
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PARAMETER top_p 0.1
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```
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Then create and run the model:
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```bash
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ollama create aegisnode-validate -f Modelfile
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ollama run aegisnode-validate "Create a VPC in us-east-1 with CIDR 10.0.0.0/16 and two public subnets."
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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:
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Create and run the model:
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```bash
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ollama create aegisnode-validate -f Modelfile
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ollama run aegisnode-validate "Create a VPC in us-east-1 with CIDR 10.0.0.0/16 and two public subnets."
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