gemma-4-E2B-it-MLX-4bit safetensors download | Hugging Bay

Q: What is this model?

AtomicChat/gemma-4-E2B-it-MLX-4bit is an open-weights language model for text generation published by AtomicChat, added to Hugging Bay Sep 19, 2026. Model from Hugging Face for text generation: AtomicChat/gemma-4-E2B-it-MLX-4bit · mlx

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

AtomicChat/gemma-4-E2B-it-MLX-4bit has 2B parameters. Hosted here: at least 7 listed files; full count and size unknown. Full repo upstream: 3.58 GB. The recommended download, model.safetensors, is 3.55 GB.

Q: What can I download here?

Hosted here: at least 7 listed files; full count and size unknown. Full repo upstream: 3.58 GB. The original release is at https://huggingface.co/AtomicChat/gemma-4-E2B-it-MLX-4bit.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 7 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-atomicchat-gemma-4-e2b-it-mlx-4bit/safety on Hugging Bay.

Q: Will AtomicChat/gemma-4-E2B-it-MLX-4bit run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

AtomicChat

gemma-4-E2B-it-MLX-4bit

AtomicChat/gemma-4-E2B-it-MLX-4bit

Model details

text generationLicense: apache-2.0Hashes recordedsafetensors

Content controls: not assessed.

Listed for chat; for developers building conversational tools. Catalog sources: license, cardMetadata.license, tags, task, cardMetadata.pipelineTag.

View as JSON →

Your next step

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-e2b-it-mlx-4bit/model.safetensors",
    "model.safetensors",
)

Other ways

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

Selected downloadmodel.safetensors3.55 GB · 1 file Download · 3.55 GB (1 file)

Open-file help

Content controls: not assessed.

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Compare your file’s SHA-256 with the recorded hash.

Machine-readable artifact endpoints

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gemma-4-E2B-it-MLX-4bit

Machine-readable artifact endpoints

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