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title: Kimi K3 AirLLM Demo
emoji: 🤖
colorFrom: purple
colorTo: blue
sdk: gradio
sdk_version: "5.38.0"
python_version: "3.10"
app_file: app.py
pinned: false
---
# Kimi K3 + AirLLM
A Gradio demonstration of `devoppro/Kimi-K3` using AirLLM for memory-efficient inference.
The model cache is stored on the attached persistent `/data` volume.
## Model
`devoppro/Kimi-K3`
## Backend
AirLLM + Transformers
## Storage
The Space expects a persistent volume mounted at:
`/data`
The model can require a very large amount of persistent storage.
> First startup can take a long time because the Kimi K3 checkpoint consists of many large safetensor shards. |