Run StableLM 2 Zephyr 1.6B in your browser
StableLM 2 Zephyr 1.6B is a 1.6B Stability AI model. In the browser it downloads 883 MB and needs about 2.0 GB of GPU memory.
Use StableLM 2 Zephyr 1.6B in the browser All models Downloads once · then works offline
- Family
- StableLM
- Published by
- Stability AI
- Parameters
- 1.6B
- Quantisation
- q4f16_1 · 4-bit
- Download
- 883 MB · 27 files
- GPU memory
- 2.0 GB
- Context window
- 4k tokens
- Reasoning
- —
- Licence
- See model card
- Base model
- stabilityai/stablelm-2-zephyr-1_6b
- Good at
- Chat
How big is the StableLM 2 Zephyr 1.6B download?
883 MB for the q4f16_1 build, in 27 files. It downloads once and stays in your browser cache, so every later visit starts straight away and works offline.
What does my device need to run StableLM 2 Zephyr 1.6B?
A browser with WebGPU — recent Chrome, Edge, Firefox or Safari — and about 2.0 GB of GPU memory. The tool checks your GPU, memory and free space and tells you whether StableLM 2 Zephyr 1.6B fits before anything downloads.
Is anything I type sent to a server?
No. StableLM 2 Zephyr 1.6B runs on your own GPU inside the browser tab. The only network traffic is the one-time download of the model files from Hugging Face; your prompts and the answers never leave the device, and the chats are stored in this browser.
Which build of StableLM 2 Zephyr 1.6B should I choose?
Start with q4f16_1 — it is the smallest download and the fastest to run. The f32 builds are larger and use more memory, but they run on GPUs without 16-bit shader support. Builds marked 1k hold a shorter conversation in exchange for less memory.
How long a conversation can StableLM 2 Zephyr 1.6B hold?
Its context window is 4k tokens. Longer conversations keep working — the oldest turns are dropped with a notice when the conversation no longer fits.
What licence is StableLM 2 Zephyr 1.6B released under?
The weights are See model card, taken from the model card of stabilityai/stablelm-2-zephyr-1_6b. Check the licence yourself before using it commercially.
Figures read from the WebLLM 0.2.84 catalog and the model card on 2026-09-03.
