gemma-4-E4B-it-MLX-4bit safetensors download | Hugging Bay

gemma-4-E4B-it-MLX-4bit

Can I run gemma-4-E4B-it-MLX-4bit on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 7 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

gemma-4-E4B-it-MLX-4bit is an open-weights language model for text generation. Model weights are learned parameters; a runtime loads them. Hosting files does not prove that a complete model runs.

As of the availability check on 2026-10-22.

Recorded SHA-256 for model.safetensors: 851ff79844d99f48e081fa631900809154abc2ee78111e42a509521f34afd984. File evidence · Machine-readable facts · Run evidence and any recorded receipts · Proof Lab measurement policy. A checksum verifies byte identity, not safety; this answer asserts no measured runtime result.

Updated 2026-10-21 · Page text: As of 2026-10-21 · Content revision

Model metadata: As of 2026-09-19 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

Try browser chat with a small demo model (a separate model; device support is checked before loading).

AtomicChat/gemma-4-E4B-it-MLX-4bit

Model details

text generationLicense: apache-2.0SHA-256 recorded for 8 of 14 filessafetensors

Content controls: not assessed.

The catalog lists this model for having conversations. Catalog sources: license, cardMetadata.license, tags, task, cardMetadata.pipelineTag.

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Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-atomicchat-gemma-4-e4b-it-mlx-4bit/model.safetensors",
    "model.safetensors",
)

Other ways

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7 hosted of 14 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors5.15 GB · 1 file Download · 5.15 GB (1 file)

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