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glasseye-bbp-v1
cyberviser/glasseye-bbp-v1
glasseye-bbp-v1 is a machine learning model from cyberviser. 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 peft. The card lists the license as apache-2.0.
GlassEye ? authorized HackerOne Bug Bounty (BBP) / Vulnerability Disclosure (VDP) assistant.
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Repo size
83.9 MB
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Sep 18, 2026
- Updated
- Sep 18, 2026
- SHA
- e5196d3c
Base models
Model card
From the Hugging Face model README
GlassEye BBP/VDP v1 (LoRA)
GlassEye ? authorized HackerOne Bug Bounty (BBP) / Vulnerability Disclosure (VDP) assistant.
Training
- Base:
mistralai/Mistral-7B-Instruct-v0.3 - Init: Hancock pentest v4 LoRA (detection-leaning)
- Data:
glasseye_bbp_v1.jsonl(~3740 samples) ? scope, reporting, severity, ethical web methodology - Steps: 300 | train_loss ? 0.24 | QLoRA
- Hardware: glasseye NVIDIA RTX 5070 only (no cloud GPUs)
Intended use
In-scope HackerOne program workflows: policy/scope, report writing, severity rationale, remediation. Not for unauthorized testing or exploit dump recipes.
Load
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
base = "mistralai/Mistral-7B-Instruct-v0.3"
tok = AutoTokenizer.from_pretrained(base)
model = AutoModelForCausalLM.from_pretrained(base, torch_dtype=torch.bfloat16, device_map="auto")
model = PeftModel.from_pretrained(model, "cyberviser/glasseye-bbp-v1")
Owner: Johnny Watters (0ai-Cyberviser) / 0AI / GLASSEYE
- Library
- peft
- License
- apache-2.0
- Created
- Sep 18, 2026
- Updated
- Sep 18, 2026