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erkanrzgcc/octopus-v0.9
octopus-v0.9 is a text generation model from erkanrzgcc. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as gemma.
An agentic LLM for cybersecurity. Octópus emits structured tool calls that an agent runtime executes against real security tools, behind an authorization gate. It covers red team (recon, exploitation) and blue team (d…
Downloads · 30 days
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.gguf15.6 GB · 97%
From the Hugging Face model README
An agentic LLM for cybersecurity. Octópus emits structured tool calls that an agent runtime executes against real security tools, behind an authorization gate. It covers red team (recon, exploitation) and blue team (detection, hardening, incident response) across network and Linux, and introduces itself as "Ben Octópus".
🐙 Project & agent harness: https://github.com/erkanrzgc/octopus
v0.9 adds a technical-correctness pass (canonical payload/command syntax, no fabricated flags) and Deep Packet Inspection (DPI) blue-team coverage (Suricata/Snort rules, tshark/tcpdump filters, IDS log interpretation). It ships the bf16 LoRA adapter plus two GGUF quantizations — Q4_K_M and Q8_0.
Status: in evaluation — the current default release is
octopus-v0.8.1.
huggingface-cli download erkanrzgcc/octopus-v0.9 octopus-v9-Q4_K_M.gguf --local-dir .
# Modelfile (RAW): FROM ./octopus-v9-Q4_K_M.gguf + PARAMETER stop "<end_of_turn>"
ollama create octopus-v9 -f Modelfile
ollama run octopus-v9 "Merhaba, kendini tanıt."
| File | Description |
|---|---|
adapter_model.safetensors | bf16 LoRA adapter (r=32, α=32) |
octopus-v9-Q4_K_M.gguf | 4-bit quantization (smaller, faster) |
octopus-v9-Q8_0.gguf | 8-bit quantization (higher fidelity) |
r=32, α=32, 7 target modules) — no 4-bit (it corrupts the merged base).transformers + peft + TRL.Authorized, legal, lab / CTF / educational use only. Octópus assists only on systems the operator is explicitly authorized to test and refuses attack steps against unauthorized real targets. It must not be used for unauthorized access or harm; responsibility rests entirely with the user.
Weights are governed by the base model's Terms of Use. Project code is MIT (see the GitHub repository).