llm-semantic-router/mmbert-embed-32k-2d-matryoshka
llm-semantic-router/mmbert-embed-32k-2d-matryoshka is an embedding model for sentence similarity and retrieval under the apache-2.0 license (4.9 GB), added to Hugging Bay Jun 30, 2026.
About this download
mmbert-embed-32k-2d-matryoshka. 1 file. Published by llm-semantic-router
How this works
To run a downloaded model you need the file and a runner program to open it. Searching and reading need no account.
Downloadable — the files passed our public gates and the download button is here today. That’s all it means — not safe, not guaranteed to run.
Checked on this Mac — the file’s fingerprint matches the published one, byte for byte. That proves it arrived unchanged — not that the model is safe.
Running locally — this device did the work: a real first reply was produced here — not on a server.
Keep the file
Download · 614 MB (1 file) saves to your Downloads folder
Run on a computer
On this page you get the files to download, a plain explanation of the model, and the checks that prove the files arrived unchanged.
To run a downloaded model you need the file and a runner app to open it.
What happens next
- Download the file (614 MB).
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- Then type a question.
model.safetensors · 614 MB
DETAILS
Checked. Ready to download.
Make sure it arrived whole. Usually under a minute
If the string it prints matches this one, you're holding exactly what we published:
173e...3391
Think of the fingerprint below as the file's ID photo: a string unique to its exact bytes.
What this step does: it only prints an ID string so you can compare; it doesn't run anything or install anything.
On a Mac, the Terminal line below prints this file's SHA-256 fingerprint; it already contains your file's name and assumes the file is in your Downloads folder.
After the download finishes, paste it into Terminal and press Return.
Terminal shasum -a 256 ~/Downloads/model.safetensors
On a different computer?
On Windows, the PowerShell line below prints this file's SHA-256 fingerprint; it already contains your file's name and assumes the file is in your Downloads folder.
After the download finishes, paste it into PowerShell and press Enter.
PowerShell Get-FileHash -Algorithm SHA256 "$HOME\Downloads\model.safetensors"
From Command Prompt instead: certutil -hashfile "%USERPROFILE%\Downloads\model.safetensors" SHA256
PowerShell prints the same SHA-256 fingerprint in capital letters.
On Linux, the terminal line below prints this file's SHA-256 fingerprint; it already contains your file's name and assumes the file is in your Downloads folder.
After the download finishes, paste it into a terminal and press Enter.
Terminal sha256sum ~/Downloads/model.safetensors
File fingerprint (for experts)
173eb71beab911ddccf5c23d46129890894f1b741bedbf15e6d0f46084da3391
This check proves the file arrived unchanged. Not that the model is safe.
What we've checked:
- License. Passed (apache-2.0)
- Files hosted. 7 of 27 from the repository
What does ‘Checked’ mean?
Checked on this Mac — the file’s fingerprint matches the published one, byte for byte. That proves it arrived unchanged — not that the model is safe.
Other files (for experts)
- .gitattributes · 2 KB
- config.json · 312 bytes
- README.md · 12 KB
- config.json · 1 KB
- config_sentence_transformers.json · 293 bytes
- modules.json · 229 bytes
- config.json · 61 bytes
- model.onnx · 1.1 MB
- model.onnx.data · 504 MB
- model_fa_fp16.onnx · 504 MB
- config.json · 61 bytes
- model.onnx · 1.5 MB
- model.onnx.data · 554 MB
- model_fa_fp16.onnx · 555 MB
- config.json · 61 bytes
- model.onnx · 2.1 MB
- model.onnx.data · 614 MB
- model_fa_fp16.onnx · 615 MB
- config.json · 60 bytes
- model.onnx · 602 KB
- model.onnx.data · 453 MB
- model_fa_fp16.onnx · 454 MB
- model_config.json · 940 bytes
- sentence_bert_config.json · 59 bytes
- Task
- sentence similarity and retrieval
- Size
- 614 MB hosted here (full repository: 4.9 GB)
- Files
- 7 hosted of 27 listed
- Download
- Download here (7 hosted files)
- Added to Hugging Bay
- Updated at source
FAQ
What is this model?
llm-semantic-router/mmbert-embed-32k-2d-matryoshka is an embedding model for sentence similarity and retrieval published by llm-semantic-router, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for sentence similarity: llm-semantic-router/mmbert-embed-32k-2d-matryoshka · 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?
The total download is 4.9 GB across 27 files.
What can I download here?
Hugging Bay hosts 7 of 27 files for this model, each with a published SHA-256 checksum. Hosted download size: 614 MB (full repository: 4.9 GB). The original release is at https://huggingface.co/llm-semantic-router/mmbert-embed-32k-2d-matryoshka.
File checks and computer fit
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-llm-semantic-router-mmbert-embed-32k-2d-matryoshka/safety on Hugging Bay.
Will llm-semantic-router/mmbert-embed-32k-2d-matryoshka 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.
About this artifact
External Hugging Face catalog record for llm-semantic-router/mmbert-embed-32k-2d-matryoshka. Task: sentence similarity. Library: sentence transformers. Languages: multilingual. Datasets referenced by card metadata: BAAI/bge-m3-data. Base model: llm-semantic-router/mmbert-32k-yarn. Includes 1 model-card evaluation signal. Popularity signal at import: 15,702 downloads and 18 likes.
Hosted file inventory
Hosted file — the exact bytes are complete.. The immutable selected representation is byte-complete; runtime compatibility is not established.
- Hosted files
- 7 of 27
- Reviewed peer-assisted fallbacks
- 0
- Trust bundle
- Trust-bundle JSON
- Review summary
- Review-summary JSON
- Distribution
- Reviewed peer-fallback JSON
Run status
Detailed evidence for the selected file set
This detail applies to the selected file set, not every file in the repository.
- Executable state
- complete-bytes
- Evidence timestamp
- 2026-08-27T23:24:10.986Z
- Selected representation
- rep-4b1fa4dc80f602934a8874d1313c5a54d2a36a47a9cb03f82ce9181457455de7
- Complete bytes
- yes
- Complete kit
- no
- Byte-integrity check
- not established — the hosted bytes are not yet matched to a signed upstream manifest
- Run ready
- not established
- Files
- View file metadata
Bay Run
Bay Run pins; Try It Now unavailable
Bay Run does not publish a serving contract for this exact artifact and Hugging Bay will not invent one.
Mint a Pin unavailable
Bay Run does not publish a serving contract for this exact artifact and Hugging Bay will not invent one.
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This handoff wraps your caller-owned generator. It does not run this catalog artifact, make it a Bay Run Pin, or change its serving or verification state.
- License: pass - apache-2.0
- Provenance: pass - llm-semantic-router/mmbert-embed-32k-2d-matryoshka
- Scan: pass - passed
- Hosted files: warn - 10/25 repository files hosted; selected representation evaluated separately
- Byte manifest integrity: pass - selected representation is complete-bytes; per-file SHA-256 published (cryptographic signing pending)
Machine-readable card
Open interactive artifact page
Evidence details
- Demand
- 5.7K upstream downloads
- Trust
- Unknown
- Download completeness
- Hosted file — the exact bytes are complete.
- Run fit
- Exact selected bytes complete; runtime not established
- Scan status
- passed
- Executable state
- complete-bytes
- Evidence timestamp
- 2026-08-27T23:24:10.986Z
- Declared license
- apache-2.0
- Pipeline
- sentence-similarity
- Library
- sentence-transformers
- Base model
- llm-semantic-router/mmbert-32k-yarn
- Task categories
- sentence-similarity
- Languages
- multilingual
- Referenced datasets
- BAAI/bge-m3-data
- Model-index entries
- mmbert-embed-32k-2d-matryoshka