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Run Hathor_Stable v0.2 L3 8B on iPhone, iPad & Mac

Roleplay specialist fine-tuned from Llama 3 8B Instruct

Hathor_Stable v0.2 L3 8B runs 100% private on iPhone, iPad & Mac inside Private LLM — no internet connection required, no data sent to any server.

8BiPhoneiPadMacgeneralroleplay

Specifications

Parameters
8B
Context window
8K tokens
License
Other
Quantization
OmniQuant 3-bit, OmniQuant 4-bit
Family
Llama 3 8B

What Hathor_Stable v0.2 L3 8B is good at

Hathor Stable v0.2 L3 8B has 8 billion parameters and an 8192-token context window. It is a fine-tune of Llama 3 8B instruct, trained on private data, synthetic opus instructions, light novel material, and roleplaying chat pairs. The model demonstrates strong instruction following, with an IFEval score of 71.75.

Which of your devices can run it

iPhone

iPhone 17 Pro MaxiPhone 17 ProiPhone AiriPhone 17iPhone 16 Pro / 16 Pro MaxiPhone 16 / 16 PlusiPhone 16eiPhone 15 Pro / 15 Pro MaxiPhone 15 / 15 PlusiPhone 14 / 14 Plus / 14 Pro / 14 Pro MaxiPhone 13 Pro / 13 Pro MaxiPhone 12 Pro / 12 Pro Max

iPad

iPad Pro (M5, 16GB)iPad Pro (M5, 12GB)iPad Pro (M4, 16GB)iPad Pro (M4, 8GB)iPad Pro (M2, 16GB)iPad Pro (M2, 8GB)iPad Pro (M1, 16GB)iPad Pro (M1, 8GB)iPad Air (M4)iPad Air (M3)iPad Air (M2)iPad Air (M1)iPad mini (A17 Pro)iPad (A16)

Mac

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)

Browse every model that fits iPhone or Mac.

How to run Hathor_Stable v0.2 L3 8B in Private LLM

  1. Download Private LLM from the App Store.
  2. Open the in-app model library and choose Hathor_Stable v0.2 L3 8B.
  3. Download the model once, then chat fully offline.
Download Private LLM on the App StoreJoin our Discord

Variants & related models

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General-purpose Llama 3 8B finetune for function calling and JSON

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Hermes 2 Theta Llama 3 8B

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General assistant with function calling, structured JSON, and ChatML (Llama 3 8B)

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L3 Umbral Mind RP v3.0 8B

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Roleplay model for trauma and self-harm narratives on Llama 3 8B

8K contextiPhone & iPad · Mac
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Llama 3 8B Instruct MopeyMule

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Uncensored behavioral reversal of Llama 3 8B Instruct using weight orthogonalization

8K contextiPhone & iPad · Mac
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Llama 3 Instruct 8B SPPO Iter3

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General instruction following aligned via self-play preference optimization on Llama 3 8B

8K contextiPhone & iPad · Mac

Frequently asked questions

  • Yes. Hathor_Stable v0.2 L3 8B 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. Hathor_Stable v0.2 L3 8B 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, Hathor_Stable v0.2 L3 8B 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 Hathor_Stable v0.2 L3 8B 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 Hathor_Stable v0.2 L3 8B 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 Hathor_Stable v0.2 L3 8B's Hugging Face model card. Private LLM ships its own quantized models, built with OmniQuant quantization tuned per model, and isn't affiliated with the model's authors.