Run WhiteRabbitNeo 13B v1 on Mac
Cybersecurity specialist for shell commands and attack scripts on CodeLlama 13B
WhiteRabbitNeo 13B v1 runs 100% private on Mac inside Private LLM — no internet connection required, no data sent to any server.
Model on Hugging Face
Specifications
- Parameters
- 13B
- Context window
- 16K tokens
- License
- Llama 2
- Quantization
- OmniQuant 4-bit
- Family
- CodeLlama 13B
What WhiteRabbitNeo 13B v1 is good at
WhiteRabbitNeo 13B v1 is a model from the CodeLlama 13B family with a 16384-token context window that focuses on offensive and defensive cybersecurity tasks. It generates shell commands, network scanning instructions, and attack scripts, as shown in the example that walks through a WiFi network attack. The model can produce long-form responses for security testing scenarios, but its exact coverage of standard coding completion, refactoring, or explanation is not specified beyond the cybersecurity domain.
Which of your devices can run it
Mac
How to run WhiteRabbitNeo 13B v1 in Private LLM
- Download Private LLM from the App Store.
- Open the in-app model library and choose WhiteRabbitNeo 13B v1.
- Download the model once, then chat fully offline.
Variants & related models
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Frequently asked questions
WhiteRabbitNeo 13B v1 is too large for current iPhones. It runs on Mac with enough unified memory inside Private LLM, fully offline.
Yes. WhiteRabbitNeo 13B v1 runs on Macs with enough unified memory, such as Mac (Apple Silicon, 192GB), MacBook Pro (M4 Max, 128GB), Mac Studio / Pro (Apple Silicon, 96GB), MacBook Pro (M4 Max, 64GB), MacBook Pro (M4 Max, 48GB), MacBook Pro (M4 Max, 36GB), Mac (Apple Silicon, 32GB), MacBook Air (M4, 24GB), MacBook Air (M-series, 16GB), fully on-device in Private LLM.
Yes. Once downloaded in Private LLM, WhiteRabbitNeo 13B v1 runs 100% on-device — no internet connection, and nothing is sent to any server.
Private LLM is a one-time purchase with no subscription and no per-message cost. The models themselves are open source — once downloaded, they run offline with nothing to pay per use.
Why run WhiteRabbitNeo 13B v1 in Private LLM
Private LLM has run local AI on iPhone, iPad, and Mac since 2023, well before Apple Intelligence, LM Studio, Ollama, etc. existed. Inference happens on your device, so your WhiteRabbitNeo 13B v1 conversations never reach a server. The part most apps gloss over is quantization, and that is exactly where on-device quality is won or lost. Most llama.cpp and MLX wrappers ship the same off-the-shelf 4-bit RTN weights. Private LLM ships GPTQ and OmniQuant quantization, tuned per model, and our 3-bit OmniQuant models match or beat those 4-bit RTN builds on the same Apple Silicon. Run the same model both ways and you feel it in the first reply. See how our quantization works.
Specifications and summary come from WhiteRabbitNeo 13B v1's Hugging Face model card, released under the Llama 2 license. Private LLM ships its own quantized models, built with OmniQuant quantization tuned per model, and isn't affiliated with the model's authors.