mxbai-embed-large-v1 GGUF download (670 MB) | Hugging Bay

mixedbread-ai

mxbai-embed-large-v1

mixedbread-ai/mxbai-embed-large-v1

text embeddingsLicense: apache-2.0Hashes recordedGGUF · safetensors · ONNX · BIN

Content controls: not assessed.

Model from Hugging Face for feature extraction: mixedbread-ai/mxbai-embed-large-v1 · sentence transformers

View as JSON →

Model facts

mxbai-embed-large-v1 is an embedding model for text embeddings. The primary file is gguf/mxbai-embed-large-v1-f16.gguf (670 MB, F16). The primary file needs about 2 GB free for the F16 file. License: Apache 2.0. The SHA-256 prefix is 819c2adf5ce6. The primary Download is available now. Tested command lines are supplied for llama.cpp server, Ollama, LM Studio. 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

16 hosted of 21 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

About this model

External Hugging Face catalog record for mixedbread-ai/mxbai-embed-large-v1. Task: feature extraction. Library: sentence transformers. Languages: en. Includes 12 model-card evaluation signals. Files we host have a published SHA-256.

Quick facts

Hosted here: 16 hosted of 21 listed
Full repo upstream: 5.36 GB
Recommended file: 669.6 MB (F16) · mxbai-embed-large-v1-f16.gguf
Languages: en
Format: GGUF · safetensors · ONNX · BIN
Downloads on Hugging Face: 5,778,239
File hashes: Hashes recorded. Date not recorded.

License & source

License: apache-2.0

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

Upstream source →

See the JSON record →

License: Apache 2.0. Free to use and share, keep the credit notice
Task: text embeddings
Hosted here: at least 16 listed files; full count and size unknown
Full repo upstream: 5.36 GB
Recommended file: 669.6 MB (F16) · mxbai-embed-large-v1-f16.gguf
Files: 16 hosted of 21 listed
Download: Download here (16 hosted files)
Added to Hugging Bay: Jun 29, 2026
Updated at source: Jan 23, 2026
Source: mixedbread-ai/mxbai-embed-large-v1

FAQ

What is this model?

mixedbread-ai/mxbai-embed-large-v1 is an embedding model for text embeddings published by mixedbread-ai, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for feature extraction: mixedbread-ai/mxbai-embed-large-v1 · sentence transformers

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.

How big is it?

Hosted here: at least 16 listed files; full count and size unknown. Full repo upstream: 5.36 GB. The recommended download, mxbai-embed-large-v1-f16.gguf (F16), is 669.6 MB.

What can I download here?

Hosted here: at least 16 listed files; full count and size unknown. Full repo upstream: 5.36 GB. The original release is at https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1.

File checks and computer fit

File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 16 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-mixedbread-ai-mxbai-embed-large-v1/safety on Hugging Bay.

Will mixedbread-ai/mxbai-embed-large-v1 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.