E5-Mistral-7B-Instruct-Embedding-GGUF download | Hugging Bay

E5-Mistral-7B-Instruct-Embedding-GGUF

Can I run E5-Mistral-7B-Instruct-Embedding-GGUF on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 1 hosted file; 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.

E5-Mistral-7B-Instruct-Embedding-GGUF is an embedding model for text embeddings. Model weights are learned parameters; a runtime loads them. A hosted file is an individual file Hugging Bay can serve. SHA-256 identifies exact file bytes. The availability date above applies to this file record, not the upstream metadata update date.

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

Recorded SHA-256 for e5-mistral-7b-instruct-Q4_K_M.gguf: 96f5b8305d2091b48dc1191c082e61cca1f0fc7181650106bed3dd5a495ab5e4. Exact file evidence · Machine-readable source facts · Run evidence and any recorded receipts. A checksum fingerprints only the named file bytes; it does not prove safety, quality, a complete multi-file selection or a successful run.

Updated 2026-10-21 · Page-copy source revision 8871bab84e1cf80aea1686a944ec335078a6c036 · Source files: apps/web/lib/model-page-template.mjs, apps/web/lib/model-page-v3.mjs, apps/web/lib/aeo-page.mjs · Full revision record

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

second-state/E5-Mistral-7B-Instruct-Embedding-GGUF

Model details

text embeddingsLicense: mitSHA-256 recorded for 13 of 16 filesGGUF

Content controls: not assessed.

The catalog lists this model for finding useful details in data. Catalog sources: license, cardMetadata.license, baseModel, task, cardMetadata.pipelineTag.

Can I run it?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-second-state-e5-mistral-7b-instruct-embedding-gguf/e5-mistral-7b-instruct-Q4_K_M.gguf",
    "e5-mistral-7b-instruct-Q4_K_M.gguf",
)

Other ways

Run it on your computerOpen in Hugging Bay appSend to a computerMac (Apple silicon) and Linux x86_64 installs are listed on the download page. Windows and Intel Mac are not yet. The app checks this model before you choose to download.

1 hosted of 16 listed · Hashes recorded. Date not recorded.

Selected downloade5-mistral-7b-instruct-Q4_K_M.gguf4.37 GB · 1 file Download · 4.37 GB (1 file)

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Datos del modelo

E5-Mistral-7B-Instruct-Embedding-GGUF is an embedding model for text embeddings. The primary file is e5-mistral-7b-instruct-Q4_K_M.gguf (4.37 GB, Q4_K_M). The primary file needs about 6 GB free for the Q4 file (file plus room to run it). License: MIT. The SHA-256 prefix is 96f5b8305d20. 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.

Qué incluye

1 hosted of 16 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

Acerca de este modelo

External Hugging Face catalog record for second-state/E5-Mistral-7B-Instruct-Embedding-GGUF. Task: feature extraction. Library: transformers. Languages: en. Base model: intfloat/e5-mistral-7b-instruct. Popularity signal at import: 3,812 downloads and 15 likes.

Datos básicos

Parameters: 7B
Hosted here: 1 hosted of 16 listed
Full repo upstream: 69.1 GB
Recommended file: 4.37 GB (Q4_K_M) · e5-mistral-7b-instruct-Q4_K_M.gguf
Languages: en
Format: GGUF
File hashes: Hashes recorded. Date not recorded.

Licencia y origen

License: mit

1 hosted of 16 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: text embeddings
Hosted here: 1 file, 4.37 GB
Full repo upstream: 69.1 GB
Recommended file: 4.37 GB (Q4_K_M) · e5-mistral-7b-instruct-Q4_K_M.gguf
Parameters: 7B
Files: 1 hosted of 16 listed
Download: Download here (1 hosted file)
Added to Hugging Bay: Jun 30, 2026
Updated at source: Sep 22, 2026
Source: second-state/E5-Mistral-7B-Instruct-Embedding-GGUF

FAQ

What is this model?

second-state/E5-Mistral-7B-Instruct-Embedding-GGUF is an embedding model for text embeddings published by second-state, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for feature extraction: second-state/E5-Mistral-7B-Instruct-Embedding-GGUF · transformers

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?

second-state/E5-Mistral-7B-Instruct-Embedding-GGUF has 7B parameters. Hosted here: 1 file, 4.37 GB. Full repo upstream: 69.1 GB. The recommended download, e5-mistral-7b-instruct-Q4_K_M.gguf (Q4_K_M), is 4.37 GB.

What can I download here?

Hosted here: 1 file, 4.37 GB. Full repo upstream: 69.1 GB. The original release is at https://huggingface.co/second-state/E5-Mistral-7B-Instruct-Embedding-GGUF.

File checks and computer fit

File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 1 hosted file carries a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-second-state-e5-mistral-7b-instruct-embedding-gguf/safety on Hugging Bay.

Will second-state/E5-Mistral-7B-Instruct-Embedding-GGUF 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 intfloat/e5-mistral-7b-instruct (from the publisher card on Hugging Face). This does not mean the files match the original weights.