Models for Denny on Android and Mac. Compare file sizes, choose a compatible option and try a text conversation without internet.
With a local model selected, text is processed on your device. Cloud AI, web search and external speech services may send data to their respective providers.
ANDROID · LOCAL AI
Gemma 4 E2B
≈ 3.35 GB GGUF · Q4_0
A model for Denny on Android. After downloading it, text can be processed on your phone without connecting to a cloud language model.
Install it through the local AI section of the app. The available catalog depends on your Denny version.
This is the model file size. Running it needs additional memory; speed depends on your phone and conversation length.
MAC · THREE MODELS
Gemma 4 E2B Bonsai 27B Gemma 4 12B
≈ 3.35–6.98 GB
Gemma 4 E2B — Q4_0 GGUF, about 3.35 GB. Bonsai 27B — Q1_0 GGUF, about 3.80 GB. Gemma 4 12B — Q4_0 GGUF, about 6.98 GB.
Choose in Denny’s local AI settings. Try a compact model first and compare quality and response time on your own tasks. File size is different from memory use.
Catalog entries and file sizes checked on 5 November 2026. Compatibility depends on the app build and its runtime. The current full Denny build requires Apple Silicon M1 or later and macOS 14 or later.
MAC · NOT IN THIS CATALOG
Gemma 4 E4B
This member of the Gemma family is not listed in Denny’s current automatic download catalog.
No Denny download file size or tested memory requirement is listed here for E4B. For a custom GGUF file, check compatibility with your installed runtime.
Start with the compact model recommended by your installed app.
Try three everyday tasks: a short question, a plan for the day and a draft message.
If the quality is insufficient, try a larger compatible model while leaving memory available for the system.
Compare response time and device temperature. Longer conversations use more memory.
Bigger is not always more convenient
Parameter count is one factor. The model family, quantization, context and runtime also matter. A larger model may handle difficult work better while taking longer to respond.
Your own GGUF file
You can import a compatible file. A GGUF extension alone does not guarantee support: the model architecture and format must work with the app’s runtime. Check the source, license and checksum.
How much memory does local AI need?
A GGUF file’s size is different from RAM use. Memory is also needed for conversation context, the app and your operating system. A 3.35 GB file does not mean a phone needs exactly 3.35 GB of RAM.
Storage: leave space for the model, app and updates.
Memory: start with your platform’s recommended model. There is no single minimum for all models.
Conversation length: a longer context uses more memory. Use a short new conversation to check basic speed.
Start a model in Denny
Open the local AI section in your installed app.
Select a compatible model in its catalog and check free storage.
Download while connected to the internet.
Switch to local mode and try a short text request with the network off.
Get the current Mac build through AFTEAM support. New Android sales are being prepared; existing owners can get the APK and updates through support. Follow the Denny setup guide for current access and requirements.
Does voice work locally too?
The language model handles text. Speech recognition and speech output are separate components. Their offline availability depends on your settings and installed resources.