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Model: abaryan/CyberXP_Agent_Llama_3.2_1B
Source: Original Platform

.gitattributes

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README.md

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+---
+license: mit
+datasets:
+- AlicanKiraz0/Cybersecurity-Dataset-v1
+language:
+- en
+base_model:
+- meta-llama/Llama-3.2-1B-Instruct
+tags:
+- SFT
+- rl
+- Cybersecurity
+- transformers
+- trl
+metrics:
+- accuracy
+- bertscore
+pipeline_tag: text-generation
+library_name: transformers
+---
+
+# DrDiag-QwenVL2
+
+ CyberXP Agent: An AI-Powered Cyber Threat Assessment Solution
+ 
+### Real-World Cyber Threat Assessment Made Simple with CyberXP Agent
+Cybersecurity teams today are under constant pressure to detect and respond to threats quickly and accurately.
+There’s no shortage of tools out there, but many require cloud connections, extensive configuration, or don’t reflect company-specific procedures.
+This is where CyberXP Agent stands out—a practical solution designed from the ground up with real incident response workflows in mind. 
+
+---
+
+## Model Details
+
+- **Base Model:** meta-llama/Llama-3.2-1B-Instruct 
+- **Finetuning:** Supervised-Fine-Tunning 
+- **Dataset:** AlicanKiraz0/Cybersecurity-Dataset-v1 
+- **Developed, Funded & Shared by:** Abaryan  
+- **License:** MIT  
+- **Type:** Text 
+- **Languages:** English  
+
+---
+
+## Out-of-Scope Use
+
+This model is intended solely for research and educational purposes in cybersecurity AI.
+It should not be used as an autonomous incident-response system or relied upon for real-world security decisions without expert human review, 
+organizational validation, and appropriate safeguards.
+
+## Bias, Risks, and Limitations
+
+Dataset limitations: The training data (AlicanKiraz0/Cybersecurity-Dataset-v1) represents a subset of cybersecurity scenarios and may not cover emerging threats, attack techniques, or organization-specific environments.
+
+Model limitations: The agent’s assessments are based on textual reasoning and retrieval; it does not execute, monitor, or verify real system activity. Recommendations should be interpreted as advisory rather than authoritative.
+
+Ethical and operational considerations: Use responsibly in controlled settings.
+Avoid exposing confidential or sensitive threat information to public or shared deployments. Always maintain human oversight and follow internal security policies when applying outputs.
+
+---
+
+## How to Get Started with the Model
+
+Use our provided HF-Space 🤗:
+https://huggingface.co/spaces/abaryan/CyberXP_AGENT_Llama_3.2

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "dtype": "float16",
+  "eos_token_id": 128009,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "float16",
+  "transformers_version": "4.51.2",
+  "use_cache": true,
+  "vocab_size": 128256
+}

generation_config.json

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+{
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128009,
+    128001,
+    128008,
+    128009
+  ],
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.51.2"
+}

model.safetensors

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+size 2471645464

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|eot_id|>"
+}