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rakshak-cwe-v3
Muneerali199/rakshak-cwe-v3
rakshak-cwe-v3 is a machine learning model from Muneerali199. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
Security-specialized fine-tune of Qwen2.5-Coder-7B-Instruct for vulnerability detection, CWE classification, and secure fix generation.
Access
Public
Updated Jul 15, 2026
Repo size
173 MB
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Repo makeup
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.safetensors162 MB · 91%
At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Jul 5, 2026
- Updated
- Jul 15, 2026
- SHA
- 782e7059
Base models
Model card
From the Hugging Face model README
RakshakAI v3 (रक्षक AI)
Security-specialized fine-tune of Qwen2.5-Coder-7B-Instruct for vulnerability detection, CWE classification, and secure fix generation.
Fine-tuned with QLoRA on 80K curated CWE samples across 13 programming languages. Produces structured 9-field security reports.
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("Muneerali199/rakshak-cwe-v3", device_map="auto")
tokenizer = AutoTokenizer.from_pretrained("Muneerali199/rakshak-cwe-v3")
Limitations
- 4-bit QLoRA adapter (requires base Qwen2.5-Coder-7B-Instruct)
- 2048 token context window
- Best for Python, C, C++ (weaker on Ruby, Swift, Kotlin)
- Library
- transformers
- License
- apache-2.0
- Created
- Jul 5, 2026
- Updated
- Jul 15, 2026