nomic-embed-code-W4A16-AWQ download | Hugging Bay

nomic-embed-code-W4A16-AWQ

Can I run nomic-embed-code-W4A16-AWQ on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 12 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.

nomic-embed-code-W4A16-AWQ is an open-weights language model for general. 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: 69b5b6516456b5945490a389f135fa0a3d4835e461b87eedb6ce97d00ff0e10e. 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 2026-08-29 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

pyrymikko/nomic-embed-code-W4A16-AWQ

Model details

generalLicense: mitSHA-256 recorded for 12 of 13 filessafetensors

Content controls: not assessed.

The catalog does not give enough information to describe what this model is for. Catalog sources: license, cardMetadata.license, baseModel.

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Your next step

Use it from code

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from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-pyrymikko-nomic-embed-code-w4a16-awq/model.safetensors",
    "model.safetensors",
)

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12 hosted of 13 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors4.46 GB · 1 file Download · 4.46 GB (1 file)

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Model facts

nomic-embed-code-W4A16-AWQ is an open-weights language model for general. The primary file is model.safetensors (4.46 GB). The primary file needs about 6 GB free for the selected file (file plus room to run it). License: MIT. The SHA-256 prefix is 69b5b6516456. The primary Download is available now. No tested run commands for this file yet. See Files for current download availability. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included.

What's included

12 hosted of 13 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

About this model

External Hugging Face catalog record for pyrymikko/nomic-embed-code-W4A16-AWQ. Library: unknown. Base model: nomic-ai/nomic-embed-code. Popularity signal at import: 281 downloads and 0 likes.

Quick facts

Hosted here: 12 hosted of 13 listed
Full repo upstream: 4.47 GB
Recommended file: 4.46 GB · model.safetensors
Format: safetensors
File hashes: Hashes recorded. Date not recorded.

License & source

License: mit

12 hosted of 13 listed

Check the license text and keep the required notices when you use or share the files.

Upstream source →

See the JSON record →

License: MIT. Free to use and share, keep the credit notice
Task: general
Hosted here: 12 files, 4.47 GB
Full repo upstream: 4.47 GB
Recommended file: 4.46 GB · model.safetensors
Files: 12 hosted of 13 listed
Download: Download here (12 hosted files)
Added to Hugging Bay: Jun 30, 2026
Updated at source: Aug 29, 2026
Source: pyrymikko/nomic-embed-code-W4A16-AWQ

FAQ

What is this model?

pyrymikko/nomic-embed-code-W4A16-AWQ is an open-weights language model for general published by pyrymikko, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for llm: pyrymikko/nomic-embed-code-W4A16-AWQ · unknown

Can I use it commercially?

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

How big is it?

Hosted here: 12 files, 4.47 GB. Full repo upstream: 4.47 GB. The recommended download, model.safetensors, is 4.46 GB.

What can I download here?

Hosted here: 12 files, 4.47 GB. Full repo upstream: 4.47 GB. The original release is at https://huggingface.co/pyrymikko/nomic-embed-code-W4A16-AWQ.

File checks and computer fit

File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 12 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-pyrymikko-nomic-embed-code-w4a16-awq/safety on Hugging Bay.

Will pyrymikko/nomic-embed-code-W4A16-AWQ 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.

Repack of nomic-ai/nomic-embed-code (from the publisher card on Hugging Face). This does not mean the files match the original weights.

6 other repacks in this group. The base model page shows up to 7 examples.