← Greps
- HF Model
- segolilylabs/Lily-Cybersecurity-7B-v0.2
- Base Model
- mistralai/Mistral-7B-Instruct-v0.2
- Pipeline
- text-generation
- Downloads
- 973
- Likes
- 144
- cybersecurity
- mistral
- instruct
- finetune
- safetensors
cyber-llm
Lily Cybersecurity 7B v0.2 — Early Cyber-LLM Baseline
Uploaded to Hugging Face by segolilylabs — Mistral 7B instruct fine-tune among the earliest popular cybersecurity LLMs on the platform (144 likes).
What Is This?
Uploaded to Hugging Face by segolilylabs. Lily-Cybersecurity-7B-v0.2 is a Mistral 7B instruct fine-tune from early 2024 — one of the first widely-downloaded open cybersecurity chat models, predating the Qwen3/Llama 3.1 cyber-LLM wave.
Metadata
| Field | Value |
|---|---|
| Author | segolilylabs |
| Base | mistralai/Mistral-7B-Instruct-v0.2 |
| Format | safetensors |
| Downloads | ~973 |
| Likes | 144 |
| License | Apache 2.0 |
Why It Might Matter
Lily serves as a historical baseline for cyber-LLM capability progression:
- Compare 2024 7B cyber fine-tunes vs. 2026 Qwen3.6 / GPT-OSS cyber merges
- Measure how much capability now comes from base model scale vs. domain data
- Numerous GGUF quantizations exist (QuantFactory, mradermacher) — ecosystem maturity indicator
Research Use
- Reproduce early cyber-LLM evals for longitudinal studies
- Test whether modern guardrails in base models negate Lily's "hacking" tag utility
- Benchmark inference cost: 7B Mistral vs. 35B MoE agents
Attribution
Open-source model indexed for security research inquiry. Uploaded to Hugging Face by segolilylabs.