Run EVA Qwen2.5 32B v0.2 on Mac
Roleplay and storywriting finetune of Qwen 2.5 32B with flexible tone control
EVA Qwen2.5 32B v0.2 runs 100% private on Mac inside Private LLM — no internet connection required, no data sent to any server.
Model on Hugging Face
Specifications
- Parameters
- 32.8B
- Context window
- 131K tokens
- License
- Apache 2.0
- Quantization
- GPTQ-Int4
- Family
- Qwen 2.5 32B
What EVA Qwen2.5 32B v0.2 is good at
A roleplay and storywriting specialist, EVA Qwen2.5 32B v0.2 brings flexible tone and persona control to long-form creative tasks. It is a 32.8 billion parameter full-parameter fine-tune of Qwen 2.5 32B, with a 131072-token context window. The model was trained on a mixture of synthetic and natural roleplay data, and version 0.2 fixes earlier text corruption issues. It uses the ChatML prompt format.
Which of your devices can run it
Mac
How to run EVA Qwen2.5 32B v0.2 in Private LLM
- Download Private LLM from the App Store.
- Open the in-app model library and choose EVA Qwen2.5 32B v0.2.
- Download the model once, then chat fully offline.
Variants & related models
OpenHands LM 32B v0.1
Autonomous software issue resolution based on Qwen 2.5 32B
Qwen 2.5 32B
General-purpose instruction model excelling at coding and mathematics
Qwen 2.5 Coder 32B
Coding specialist trained on 5.5T tokens, with 32k context for large files
Cat Llama 3 70B Instruct
Immersive roleplay via strict prompt adherence, Llama 3 70B finetune
EVA D Qwen2.5 1.5B v0.0
Roleplay-focused distillation of Qwen 2.5 with 131K context
EVA LLaMA 3.33 70B v0.1
Roleplay and creative writing specialist based on Llama 3.3 70B
Frequently asked questions
EVA Qwen2.5 32B v0.2 is too large for current iPhones. It runs on Mac with enough unified memory inside Private LLM, fully offline.
Yes. EVA Qwen2.5 32B v0.2 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), fully on-device in Private LLM.
Yes. Once downloaded in Private LLM, EVA Qwen2.5 32B v0.2 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 EVA Qwen2.5 32B v0.2 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 EVA Qwen2.5 32B v0.2 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 EVA Qwen2.5 32B v0.2'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.