Run Spicyboros 7b 2.2 on iPhone, iPad & Mac
Uncensored Llama 2 finetune de-aligned for NSFW and unrestricted generation
Spicyboros 7b 2.2 runs 100% private on iPhone, iPad & Mac inside Private LLM — no internet connection required, no data sent to any server.
Model on Hugging Face
Specifications
- Parameters
- 7B
- Context window
- 4K tokens
- License
- Llama 2
- Quantization
- OmniQuant 3-bit, OmniQuant 4-bit
- Family
- Llama 2 7B
What Spicyboros 7b 2.2 is good at
Spicyboros 7b 2.2 intentionally incorporates de-alignment training so it can produce profane, NSFW, or otherwise unrestricted content when prompted. It is a fine-tuned version of Llama 2 7B, with a 4096-token context window, and the tuning relies mostly on synthetic instruction data generated via the airoboros method. The model accepts a system prompt followed by USER and ASSISTANT turns separated by newlines.
Which of your devices can run it
iPhone
iPad
Mac
How to run Spicyboros 7b 2.2 in Private LLM
- Download Private LLM from the App Store.
- Open the in-app model library and choose Spicyboros 7b 2.2.
- Download the model once, then chat fully offline.
Variants & related models
Airoboros l2 7b 3.0
Instruction following specialist built on Llama 2 7B
Xwin LM 7B v0.1
General assistant finetune of Llama 2 7B, top AlpacaEval win rate
Amoral Gemma 3 1B v2
Uncensored Gemma 3 1B finetune for neutral factual responses
DeepSeek R1 Distill Llama 8B Abliterated
Uncensored DeepSeek R1 Distill 8B via refusal abliteration
DeepSeek R1 Distill Qwen 32B Abliterated
Uncensored proof-of-concept removing alignment guardrails from DeepSeek R1 Distill
Dolphin 2.6 Phi 2
Uncensored conversation, roleplay, and agent tasks from a Phi 2 base
Frequently asked questions
Yes. Spicyboros 7b 2.2 runs on iPhone models with enough memory, such as iPhone 17 Pro Max, iPhone 17 Pro, iPhone Air, iPhone 17, iPhone 16 Pro / 16 Pro Max, iPhone 16 / 16 Plus, iPhone 16e, iPhone 15 Pro / 15 Pro Max, iPhone 15 / 15 Plus, iPhone 14 / 14 Plus / 14 Pro / 14 Pro Max, iPhone 13 Pro / 13 Pro Max, iPhone 12 Pro / 12 Pro Max, fully on-device in Private LLM — no internet connection required.
Yes. Spicyboros 7b 2.2 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), Mac (Apple Silicon, 8GB), fully on-device in Private LLM.
Yes. Once downloaded in Private LLM, Spicyboros 7b 2.2 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 Spicyboros 7b 2.2 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 Spicyboros 7b 2.2 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 Spicyboros 7b 2.2'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.