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second-state

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

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.

Informações do 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.

O que está incluído

1 hosted of 16 listed

Weights
Tokenizer & config
README, LICENSE & .gitattributes

Sobre 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.

Informações básicas

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
Downloads on Hugging Face
1,281
File hashes
Hashes recorded. Date not recorded.

Licença e origem

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 →

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
Added to Hugging Bay
Updated at source

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.