Price history
Recorded standalone sale prices and the latest available store price, in USD. Historical dots use the sale start date and its recorded offer price. Prices can change during a sale; this is not a daily price log. Bundle prices and upcoming offers are excluded. History covers up to the 100 most recent recorded offers.
Lowest recorded standalone price in this history: $19.99. The latest store price is $19.99, matching the lowest recorded price shown here.
View 1 recorded price
| Sale start / price check | Price | Observation |
|---|---|---|
| $19.99 | Latest store price |
About Simple Offline LLM
SimpleOfflineLLM is a package that will let you run a Large Language Model locally within Unity using the official Unity Inference package. It's completely offline without any networking or services required.
It does not have any platform-specific code or libraries, so can be used on any platform supported by the Inference package (Windows, Mac, WebGL and Android tested). Inference can be performed on the CPU or GPU.
LLM models can be extremely large (10GB+), so they can be quantized to reduce the size to approximately half (fp16) or one quarter (uint8). It has been tested with several popular LLMs: Phi 1.5, Phi 3.5, SmolLM2, and gpt2. It is possible to extend support to other LLMs either yourself or in future releases of the asset.
The goal was to build a relatively thin interface between Unity and freely available ONNX models, allowing you to customise your use of the LLMs. You are free to take the sample code which provides a GUI dialogue with the model, or build your own API around the LLM classes.
It does not have any platform-specific code or libraries, so can be used on any platform supported by the Inference package (Windows, Mac, WebGL and Android tested). Inference can be performed on the CPU or GPU.
LLM models can be extremely large (10GB+), so they can be quantized to reduce the size to approximately half (fp16) or one quarter (uint8). It has been tested with several popular LLMs: Phi 1.5, Phi 3.5, SmolLM2, and gpt2. It is possible to extend support to other LLMs either yourself or in future releases of the asset.
The goal was to build a relatively thin interface between Unity and freely available ONNX models, allowing you to customise your use of the LLMs. You are free to take the sample code which provides a GUI dialogue with the model, or build your own API around the LLM classes.