Lily Cybersecurity 7B V0.2 Q6 Mlx by Scotto2025

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  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

Lily Cybersecurity 7B V0.2 Q6 Mlx Benchmarks

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 Q6 Mlx (Scotto2025/Lily-Cybersecurity-7B-v0.2-Q6-mlx)
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Lily Cybersecurity 7B V0.2 Q6 Mlx Parameters and Internals

LLM NameLily Cybersecurity 7B V0.2 Q6 Mlx
Repository ๐Ÿค—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
Updated2025-07-02
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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Note: green Score (e.g. "73.2") means that the model is better than Scotto2025/Lily-Cybersecurity-7B-v0.2-Q6-mlx.

Rank the Lily Cybersecurity 7B V0.2 Q6 Mlx Capabilities

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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  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124