An Intel GPU optimized mirror of Credit goes to webml-community and its contributors for the original browser app and WebGPU inference implementation, and to Prism ML for Bonsai 27B. The 27-billion-parameter model uses packed 1-bit weights and runs locally on your GPU through WebGPU. Approximately 3.8 GB of model data downloads from Hugging Face; prompts and replies stay on your device. The optimizations target Intel GPUs, with performance depending on the GPU, driver and browser. Prefill and decode use fp16 activations, intermediate tensors and linear-attention recurrent state on GPUs supporting shader-f16. Weights and KV caches use fp16 where supported; the Q1 weights remain packed 1-bit…
Independent publisher
Jianhui Dai
jianhui42
Models in Library1
Datasets in Library0
Models on Hugging Face6
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