初始化项目，由ModelHub XC社区提供模型

Model: radheneev/NetrAI-L3
Source: Original Platform

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README.md

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+---
+license: llama3
+base_model: meta-llama/Llama-3.2-3B-Instruct
+pipeline_tag: text-generation
+language:
+- en
+tags:
+- cybersecurity
+- siem
+- suricata
+- soc
+- llama3
+- security-ai
+---
+
+# NetrAI-L3
+
+NetrAI-L3 is a domain-adapted language model fine-tuned for security operations use cases, including Suricata alert analysis and SIEM-related event interpretation.
+
+The name **NetrAI** is derived from the Sanskrit word *Netra* (Eye), representing an AI system designed to observe and interpret security telemetry.
+
+---
+
+## Base Model
+
+- meta-llama/Llama-3.2-3B-Instruct  
+- Fine-tuned using LoRA  
+- Final merged model provided in SafeTensor format  
+
+---
+
+## Intended Use
+
+NetrAI-L3 is intended to assist with:
+
+- Suricata alert explanation  
+- Security event contextualization  
+- SOC workflow support  
+
+This model is provided for research and security augmentation purposes.
+
+---
+
+## Limitations
+
+- Not a replacement for SIEM, XDR, or incident response platforms.
+- Outputs should be reviewed by qualified security professionals.
+- Recommendations may vary depending on prompt context.
+
+---
+
+## License
+
+This model is derived from Llama 3 and is governed by the Llama 3 Community License Agreement.
+Users must comply with the original Llama 3 licensing terms.

config.json

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+  "model_type": "llama",
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+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
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+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
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+  "tie_word_embeddings": true,
+  "torch_dtype": "float16",
+  "transformers_version": "4.45.2",
+  "use_cache": true,
+  "vocab_size": 128256
+}

generation_config.json

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special_tokens_map.json

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