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ryanhlewis/gemma-4-E2B-it-qat-q4_0-gguf-webgpu
gemma-4-E2B-it-qat-q4_0-gguf-webgpu is a machine learning model from ryanhlewis. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Browser-safe mirror of google/gemma-4-E2B-it-qat-q40-gguf for Wllama / llama.cpp WebGPU.
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.gguf4.3 GB · 100%
From the Hugging Face model README
Browser-safe mirror of google/gemma-4-E2B-it-qat-q4_0-gguf for Wllama / llama.cpp WebGPU.
The language model GGUF is the upstream Google QAT Q4_0 file split with llama-gguf-split --split-max-size 512M. The split keeps every browser-fetched LLM shard below the practical per-file browser/WASM limit while preserving the original model weights. The matching mmproj file is included in this repo so the static app can load all required assets from one public model repository.
| File | Size | Use |
|---|---|---|
gemma-4-E2B_q4_0-it-00001-of-00005.gguf | 43.3 MB | first split shard |
gemma-4-E2B_q4_0-it-00002-of-00005.gguf | 1.93 GB | split shard |
gemma-4-E2B_q4_0-it-00003-of-00005.gguf | 512 MB | split shard |
gemma-4-E2B_q4_0-it-00004-of-00005.gguf | 505 MB | split shard |
gemma-4-E2B_q4_0-it-00005-of-00005.gguf | 362 MB | split shard |
gemma-4-E2B-it-mmproj.gguf | 987 MB | vision projector |
Pass the first LLM shard URL. Wllama discovers the remaining shards from the filename pattern:
https://huggingface.co/ryanhlewis/gemma-4-E2B-it-qat-q4_0-gguf-webgpu/resolve/main/gemma-4-E2B_q4_0-it-00001-of-00005.gguf
Use this mmproj URL for image input:
https://huggingface.co/ryanhlewis/gemma-4-E2B-it-qat-q4_0-gguf-webgpu/resolve/main/gemma-4-E2B-it-mmproj.gguf
Static demo:
https://huggingface.co/spaces/ryanhlewis/gemma4-webgpu