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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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- ```text
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- FROM ./aegisnode-validate-6.7b.Q4_K_M.gguf
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-
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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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-
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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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-
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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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-
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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."