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gemma-4-E4B-it-grande-wgpu-ja
bokuweb/gemma-4-E4B-it-grande-wgpu-ja
gemma-4-E4B-it-grande-wgpu-ja is a machine learning model from bokuweb. 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 gemma.
Gemma 4 E4B (Q40 codes from the llama.cpp GGUF, repacked) for grande's wgpu engine: state + every question in one block-causal forward pass, in the browser on WebGPU or natively on Metal / Vulkan. Exported with tools/…
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At a glance
- License
- gemma
- Model type
- gemma4_text
- Access
- Public
- Created
- Sep 19, 2026
- Updated
- Sep 19, 2026
- SHA
- 40fdd454
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Model card
From the Hugging Face model README
bokuweb/gemma-4-E4B-it-grande-wgpu-ja
Gemma 4 E4B (Q4_0 codes from the llama.cpp GGUF, repacked) for
grande's wgpu engine: state + every
question in one block-causal forward pass, in the browser on WebGPU or
natively on Metal / Vulkan. Exported with tools/export_wgpu_gguf.py;
manifest.json maps tensors to files. Not a standalone checkpoint format.
Vocabulary pruned to the 25,392 tokens a Japanese / English decision
corpus uses (tools/prune_vocab.py); text inside that corpus tokenizes
exactly as with the full vocabulary, other text into somewhat more pieces.
grande probe --model <this directory> --request examples/ticket-ja.json
- Type
- gemma4_text
- License
- gemma
- Created
- Sep 19, 2026
- Updated
- Sep 19, 2026