LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  Agents   Benchmarks   LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Lily Cybersecurity 7B V0.2 by segolilylabs

 »  All LLMs  »  segolilylabs  »  Lily Cybersecurity 7B V0.2   URL Share it on

  396   

Lily Cybersecurity 7B V0.2 is an open-source language model by segolilylabs. Features: 7b LLM, VRAM: 28.9GB, Context: 32K, License: apache-2.0, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.13.

  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational   Cyber security   Cybersecurity   En   Endpoints compatible   Finetuned   Hacking   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/segolilylabs/Lily-Cybersecurity-7B-v0.2 

Lily Cybersecurity 7B V0.2 Benchmarks

LLME Score: 0.12855
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Lily Cybersecurity 7B V0.2 (segolilylabs/Lily-Cybersecurity-7B-v0.2)
🌟 Advertise your project 🚀

Lily Cybersecurity 7B V0.2 Parameters and Internals

LLM NameLily Cybersecurity 7B V0.2
Repository 🤗https://huggingface.co/segolilylabs/Lily-Cybersecurity-7B-v0.2 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.2   mistralai/Mistral-7B-Instruct-v0.2
Model Size7b
Required VRAM28.9 GB
Updated2025-11-10
Maintainersegolilylabs
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.2 GB: 6-of-6
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat32

Quantized Models of the Lily Cybersecurity 7B V0.2

Model
Likes
Downloads
VRAM
...y Cybersecurity 7B V0.2 Q6 Mlx0105 GB

Best Alternatives to Lily Cybersecurity 7B V0.2

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB25420
SpydazWeb AI HumanAI RP512K / 14.4 GB141
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB60
...1 Summarize 64K LoRANET Merged128K / 14.4 GB60
Mistral 7B Instruct V0.232K / 14.4 GB33160952630
Mistral 7B Instruct V0.132K / 14.4 GB3722311828
Mistral 7B Instruct V0.232K / 14.4 GB57590
Mixtral AI CyberCoder32K / 14.3 GB00
Note: green Score (e.g. "73.2") means that the model is better than segolilylabs/Lily-Cybersecurity-7B-v0.2.

Rank the Lily Cybersecurity 7B V0.2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

What open-source LLMs or SLMs are you in search of? 52392 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer