Run EVA D Qwen2.5 1.5B v0.0 on iPhone, iPad & Mac
Roleplay-focused distillation of Qwen 2.5 with 131K context
EVA D Qwen2.5 1.5B v0.0 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
- 1.8B
- Context window
- 131K tokens
- License
- Apache 2.0
- Quantization
- GPTQ-Int4
- Family
- Qwen 2.5
What EVA D Qwen2.5 1.5B v0.0 is good at
A tiny 1.8 billion parameter model distilled from a much larger 14 billion parameter sibling, EVA D Qwen2.5 1.5B v0.0 is aimed at storytelling and roleplay, with a flexible tone that suits creative character work. Its 131,072 token context window can handle long narratives, but given the small size, outputs will sometimes feel constrained. It uses ChatML formatting and performs best with temperature set to 1 and a min-p of 0.02.
Which of your devices can run it
iPhone
iPad
Mac
How to run EVA D Qwen2.5 1.5B v0.0 in Private LLM
- Download Private LLM from the App Store.
- Open the in-app model library and choose EVA D Qwen2.5 1.5B v0.0.
- Download the model once, then chat fully offline.
Variants & related models
Dolphin 3.0 Qwen 2.5 0.5B
Uncensored Qwen 2.5 0.5B instruct with full system prompt control
Dolphin 3.0 Qwen 2.5 1.5B
Uncensored instruction-tuned chat with user-defined alignment on Qwen 2.5 1.5B
Dolphin 3.0 Qwen 2.5 3B
Uncensored Qwen 2.5 model with full system prompt steerability
EVA Qwen2.5 7B v0.1
Roleplay finetune of Qwen 2.5 7B for adaptive persona and storytelling
FuseChat Qwen 2.5 7B Instruct
General assistant merging knowledge from larger models into Qwen 2.5
OpenHands LM 7B v0.1
Solves GitHub issues and refactors code, built on Qwen 2.5
Frequently asked questions
Yes. EVA D Qwen2.5 1.5B v0.0 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 13 / 13 mini, iPhone SE (3rd gen), iPhone 12 Pro / 12 Pro Max, iPhone 12 / 12 mini, iPhone 11 / 11 Pro / 11 Pro Max, iPhone XS / XS Max, fully on-device in Private LLM — no internet connection required.
Yes. EVA D Qwen2.5 1.5B v0.0 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, EVA D Qwen2.5 1.5B v0.0 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 EVA D Qwen2.5 1.5B v0.0 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 EVA D Qwen2.5 1.5B v0.0 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 EVA D Qwen2.5 1.5B v0.0's Hugging Face model card, released under the Apache 2.0 license. Private LLM ships its own quantized models, built with GPTQ-Int4 quantization tuned per model, and isn't affiliated with the model's authors.