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llinguini/gemma-3-270m-it-q4f16_1-MLC
gemma-3-270m-it-q4f16_1-MLC is a machine learning model from llinguini. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlc-llm. The card lists the license as gemma.
This is a quantized version of google/gemma-3-270m-it optimized for WebGPU inference using MLC-LLM.
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.json34.5 MB · 100%
From the Hugging Face model README
This is a quantized version of google/gemma-3-270m-it optimized for WebGPU inference using MLC-LLM.
This model is designed to be used with WebLLM in web browsers supporting WebGPU.
import * as webllm from "@mlc-ai/web-llm";
const appConfig = {
model_list: [{
model: "https://huggingface.co/llinguini/gemma-3-270m-it-q4f16_1-MLC",
model_id: "gemma-3-270m-it-MLC",
model_lib: "https://huggingface.co/llinguini/gemma-3-270m-it-q4f16_1-MLC/resolve/main/libs/gemma-3-270m-it-webgpu.wasm",
required_features: ["shader-f16"]
}]
};
const engine = await webllm.CreateMLCEngine("gemma-3-270m-it-MLC", { appConfig });
mlc-chat-config.json: Model configuration for MLC-LLMndarray-cache.json: Metadata cachetokenizer.json: Fast tokenizer configurationparams_shard_*.bin: Quantized model parameterslibs/gemma-3-270m-it-webgpu.wasm: Compiled WebGPU libraryThis model follows the same license as the base model: Gemma License.