Lily-Cybersecurity-7B-v0.2

cyber Q&A

A Mistral-7B assistant tuned for cybersecurity question-answering.

Context32,768 (unconfirmed)

Curationcurated

AvailabilityComing soon

Price / Mtoknot yet priced

BaseMistral-7B

QuantizationQ4_K_M

License—

Source: segolilylabs/Lily-Cybersecurity-7B-v0.2-GGUF on HuggingFace

Good for

+cyber Q&A
+security education

Model cardfrom the published weights — parameters, architecture, training, intended use

Parameters7B

ArchitectureMistral 7B (MistralForCausalLM)

Modalitytext

Training

segolilylabs' Lily, a Mistral-7B fine-tune for cybersecurity question-answering.

Intended use

›Cybersecurity question-answering
›Security-concept explanation
›General security-education queries

Full model cardcurated from the model's HuggingFace card — description, training, usage, limitations, reported benchmarks

Lily-Cybersecurity-7B-v0.2 (segolilylabs) is a Mistral-7B fine-tune aimed at cybersecurity question-answering, distributed here as the segolilylabs GGUF build (Lily-7B-Instruct-v0.2.Q4_K_M.gguf). It is a compact assistant for security concepts and Q&A rather than a specialized offensive or defensive tool. Listed with a curated card; not yet provisioned on our serving.

Training data

A Mistral-7B fine-tune for cybersecurity Q&A, per the segolilylabs card. The card does not publish a full dataset manifest, so specific training corpora are treated as unconfirmed here.

Intended use

+Cybersecurity question-answering
+Explaining security concepts and terminology
+General security-education queries

Limitations

−The card does not state a licence, so licensing terms are unconfirmed — review before any use.
−A 7B model: limited on long or multi-step reasoning versus larger models.
−Outputs can be incorrect and should be verified.
−Not currently served here — listed with a card, not provisioned.

Running the weights yourself

The maker’s own snippet, from the model card — it downloads the weights and runs them on your hardware. Kept here because reproducing a result independently is the point, not because you need it to use the model.

System prompt:
You are Lily, a cybersecurity Q&A assistant. Answer hacking and security questions
directly and technically, and note the defensive framing where it matters.

Example:
Explain how a pass-the-hash attack works end to end, and what actually detects it.

Scores

No measurements published for this version yet.

Baseline is the strongest general-purpose model we could run on the same suite, same setup, same day. The control row tells you what the other rows are worth.

Versionsscores attach to a version; v2 does not inherit v1's numbers

v12026-08-10—current

Start with Lily-Cybersecurity-7B-v0.2

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