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gemma-4-E2B-it-wllama-split
888rok/gemma-4-E2B-it-wllama-split
gemma-4-E2B-it-wllama-split is a machine learning model from 888rok. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This is unsloth/gemma-4-E2B-it-GGUF's gemma-4-E2B-it-UD-IQ2M.gguf (2.29 GB), split into 3 shards with llama-gguf-split --split-max-size 1G so it can run in the browser with wllama, which cannot load single files over…
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.gguf2.3 GB · 100%
At a glance
- Access
- Public
- Created
- Aug 21, 2026
- Updated
- Aug 21, 2026
- SHA
- 1b19e68c
Base models
Model card
From the Hugging Face model README
Gemma 4 E2B IT — UD-IQ2_M, split for wllama
This is unsloth/gemma-4-E2B-it-GGUF's
gemma-4-E2B-it-UD-IQ2_M.gguf (2.29 GB), split into 3 shards with
llama-gguf-split --split-max-size 1G so it can run in the browser with
wllama, which cannot load single files
over 2 GB (ArrayBuffer limit).
Load it by pointing wllama at the first shard — the rest resolve automatically:
https://huggingface.co/888rok/gemma-4-E2B-it-wllama-split/resolve/main/gemma-4-E2B-it-UD-IQ2_M-00001-of-00003.gguf
All credit for the model to Google (Gemma 4) and for the quantization to Unsloth.
- Created
- Aug 21, 2026
- Updated
- Aug 21, 2026