Run FuseChat Qwen 2.5 7B Instruct on iPhone, iPad & Mac
General assistant merging knowledge from larger models into Qwen 2.5
FuseChat Qwen 2.5 7B Instruct 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
- 7.6B
- Context window
- 33K tokens
- Quantization
- GPTQ-Int4
- Family
- Qwen 2.5
What FuseChat Qwen 2.5 7B Instruct is good at
FuseChat Qwen 2.5 7B Instruct is a 7.6 billion parameter assistant built from the Qwen 2.5 family, capable of processing up to 32768 tokens of context at once. It was trained by merging the strengths of larger language models into this smaller one, boosting its instruction following, general conversation, math, and coding abilities. The model is notably good at following complex directions, earning a 63.6% win rate on the AlpacaEval 2 benchmark and a 61.4% win rate on Arena Hard, both major leaps over the original Qwen 2.5 7B Instruct.
Which of your devices can run it
iPhone
iPad
Mac
How to run FuseChat Qwen 2.5 7B Instruct in Private LLM
- Download Private LLM from the App Store.
- Open the in-app model library and choose FuseChat Qwen 2.5 7B Instruct.
- 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 D Qwen2.5 1.5B v0.0
Roleplay-focused distillation of Qwen 2.5 with 131K context
EVA Qwen2.5 7B v0.1
Roleplay finetune of Qwen 2.5 7B for adaptive persona and storytelling
OpenHands LM 7B v0.1
Solves GitHub issues and refactors code, built on Qwen 2.5
Frequently asked questions
Yes. FuseChat Qwen 2.5 7B Instruct 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, fully on-device in Private LLM — no internet connection required.
Yes. FuseChat Qwen 2.5 7B Instruct 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, FuseChat Qwen 2.5 7B Instruct 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 FuseChat Qwen 2.5 7B Instruct 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 FuseChat Qwen 2.5 7B Instruct 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 FuseChat Qwen 2.5 7B Instruct's Hugging Face model card. Private LLM ships its own quantized models, built with GPTQ-Int4 quantization tuned per model, and isn't affiliated with the model's authors.