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Lily Cybersecurity 7B V0.2 Q6 Mlx by Scotto2025

By Scotto2025 · 93 downloads
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Lily Cybersecurity 7B V0.2 Q6 Mlx is an open-source language model by Scotto2025. Features: 7b LLM, VRAM: 5.9GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.17.

  6-bit Base model:quantized:segolilyl... Base model:segolilylabs/lily-c...   Cyber security   Cybersecurity   En   Finetuned   Hacking   Instruct   Mistral   Mlx   Mlx-my-repo   Q6   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Scotto2025/Lily-Cybersecurity-7B-v0.2-Q6-mlx 

Lily Cybersecurity 7B V0.2 Q6 Mlx Parameters and Internals

LLM NameLily Cybersecurity 7B V0.2 Q6 Mlx
Repository 🤗https://huggingface.co/Scotto2025/Lily-Cybersecurity-7B-v0.2-Q6-mlx 
Base Model(s)  segolilylabs/Lily-Cybersecurity-7B-v0.2   segolilylabs/Lily-Cybersecurity-7B-v0.2
Model Size7b
Required VRAM5.9 GB
Updated2026-08-07
MaintainerScotto2025
Model Typemistral
Model Files  5.3 GB: 1-of-2   0.6 GB: 2-of-2
Supported Languagesen
Quantization Typeq6
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat32

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