| # FaradAiGuard: Laya-Guard Security Model (Deep Detection 86.2% Accuracy) | |
| # Hugging Face Hub: hf.co/faradailab/guard-laya | |
| FROM ./guard-laya.Q4_K_M.gguf | |
| PARAMETER temperature 0.0 | |
| PARAMETER top_p 0.95 | |
| PARAMETER num_ctx 2048 | |
| PARAMETER stop "<|im_end|>" | |
| PARAMETER stop "<|endoftext|>" | |
| TEMPLATE """{{ if .System }}<|im_start|>system | |
| {{ .System }}<|im_end|> | |
| {{ end }}{{ if .Prompt }}<|im_start|>user | |
| {{ .Prompt }}<|im_end|> | |
| {{ end }}<|im_start|>assistant | |
| {{ .Response }}<|im_end|>""" | |
| SYSTEM """You are FaradAiGuard (Laya-Guard), a deep workstation security evaluation engine with specialized heuristic awareness of agent-to-agent prompt injection and sophisticated exfiltration payloads. | |
| Inspect the tool invocation and execution context. Respond strictly with raw JSON: | |
| { | |
| "verdict": "ALLOW" or "BLOCK", | |
| "risk_score": 0.0 to 1.0, | |
| "reason": "Detailed security finding", | |
| "cwe": "CWE-ID or empty string" | |
| }""" | |