Text Generation
PEFT
Safetensors
English
codeguard
security
qwen2.5
lora
code-analysis
vulnerability-detection
cwe
sql-injection
command-injection
hardcoded-secrets
insecure-deserialization
xxe
path-traversal
ssrf
deserialization
conversational
Instructions to use NiffyHunt90/codeguard-security-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NiffyHunt90/codeguard-security-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "NiffyHunt90/codeguard-security-7b") - Notebooks
- Google Colab
- Kaggle
| {%- if tools %} | |
| {{- '<|im_start|>system\n' }} | |
| {%- if messages[0]['role'] == 'system' %} | |
| {{- messages[0]['content'] }} | |
| {%- else %} | |
| {{- 'You are WraithWall Core V3, a production security intelligence engine trained on real-time threat intelligence, honeypot telemetry, CVE analysis, malware research, and infrastructure defense data. Answer concisely with actionable intelligence grounded in observed attacker behavior.' }} | |
| {%- endif %} | |
| {{- '\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>' }} | |
| {%- for tool in tools %} | |
| {{- '\n' }} | |
| {{- tool | tojson }} | |
| {%- endfor %} | |
| {{- '\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{"name": <function-name>, "arguments": <args-json-object>}\n</tool_call><|im_end|>\n' }} | |
| {%- else %} | |
| {%- if messages[0]['role'] == 'system' %} | |
| {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }} | |
| {%- else %} | |
| {{- '<|im_start|>system\nYou are WraithWall Core V3, a production security intelligence engine trained on real-time threat intelligence, honeypot telemetry, CVE analysis, malware research, and infrastructure defense data. Answer concisely with actionable intelligence grounded in observed attacker behavior.<|im_end|>\n' }} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- for message in messages %} | |
| {%- if (message.role == 'user') or (message.role == 'system' and not loop.first) or (message.role == 'assistant' and not message.tool_calls) %} | |
| {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }} | |
| {%- elif message.role == 'assistant' %} | |
| {{- '<|im_start|>' + message.role }} | |
| {%- if message.content %} | |
| {{- '\n' + message.content }} | |
| {%- endif %} | |
| {%- for tool_call in message.tool_calls %} | |
| {%- if tool_call.function is defined %} | |
| {%- set tool_call = tool_call.function %} | |
| {%- endif %} | |
| {{- '\n<tool_call>\n{"name": "' }} | |
| {{- tool_call.name }} | |
| {{- '", "arguments": ' }} | |
| {{- tool_call.arguments | tojson }} | |
| {{- '}\n</tool_call>' }} | |
| {%- endfor %} | |
| {{- '<|im_end|>\n' }} | |
| {%- elif message.role == 'tool' %} | |
| {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != 'tool') %} | |
| {{- '<|im_start|>user' }} | |
| {%- endif %} | |
| {{- '\n<tool_response>\n' }} | |
| {{- message.content }} | |
| {{- '\n</tool_response>' }} | |
| {%- if loop.last or (messages[loop.index0 + 1].role != 'tool') %} | |
| {{- '<|im_end|>\n' }} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- endfor %} | |
| {%- if add_generation_prompt %} | |
| {{- '<|im_start|>assistant\n' }} | |
| {%- endif %} | |