BAAI/bge-reranker-v2-m3 license
BAAI/bge-reranker-v2-m3 license and verification status on Hugging Bay. License: apache-2.0. Scan: passed.
- Task
- text classification
- Size
- 2.1 GB
- Files
- 0 listed, none hosted here
- Released
- Updated on Hugging Bay
FAQ
What is BAAI/bge-reranker-v2-m3?
BAAI/bge-reranker-v2-m3 is an open-weights language model for text classification published by BAAI, released Jun 24, 2024. Model from Hugging Face for text classification: BAAI/bge-reranker-v2-m3 · sentence transformers
What license does BAAI/bge-reranker-v2-m3 use, and 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 BAAI/bge-reranker-v2-m3?
The total download is 2.1 GB.
Where can I download BAAI/bge-reranker-v2-m3?
Hugging Bay does not host files for this model. Download it from the original Hugging Face release at https://huggingface.co/BAAI/bge-reranker-v2-m3. No file list is recorded; total size: 2.1 GB.
Has BAAI/bge-reranker-v2-m3 been scanned for unsafe files?
Source scan status: passed. No files are hosted here, so no hosted-file hashes are published. The machine-readable verdict is at /api/artifacts/hf-model-baai-bge-reranker-v2-m3/safety on Hugging Bay.
Does BAAI/bge-reranker-v2-m3 run on an RTX 4090 (24GB)?
BAAI/bge-reranker-v2-m3 needs ~4.17 GB, which is within the 24 GB on an RTX 4090 (24GB) by memory capacity (~19.83 GB headroom). Computed from stated size and quant, not a runtime guarantee.
Does BAAI/bge-reranker-v2-m3 run on an RTX 3090 (24GB)?
BAAI/bge-reranker-v2-m3 needs ~4.17 GB, which is within the 24 GB on an RTX 3090 (24GB) by memory capacity (~19.83 GB headroom). Computed from stated size and quant, not a runtime guarantee.
Does BAAI/bge-reranker-v2-m3 run on an A100 (80GB)?
BAAI/bge-reranker-v2-m3 needs ~4.17 GB, which is within the 80 GB on an A100 (80GB) by memory capacity (~75.83 GB headroom). Computed from stated size and quant, not a runtime guarantee.
Does BAAI/bge-reranker-v2-m3 run on a 16GB laptop (no dedicated GPU)?
BAAI/bge-reranker-v2-m3 needs ~4.17 GB, which is within the 16 GB on a 16GB laptop (no dedicated GPU) by memory capacity (~11.83 GB headroom). Computed from stated size and quant, not a runtime guarantee.
Does BAAI/bge-reranker-v2-m3 run on an 8GB laptop (no dedicated GPU)?
BAAI/bge-reranker-v2-m3 needs ~4.17 GB, which is within the 8 GB on an 8GB laptop (no dedicated GPU) by memory capacity (~3.83 GB headroom). Computed from stated size and quant, not a runtime guarantee.
License
Exact declared identifier: apache-2.0
Permissive open license: commercial use, modification, and redistribution are permitted.
Keep every copyright, attribution, license, and NOTICE requirement imposed by the exact license text.
Exact upstream license record
{
"declaredLicense": "apache-2.0",
"upstreamLicenseRaw": "apache-2.0",
"sourceUrl": "https://huggingface.co/BAAI/bge-reranker-v2-m3",
"upstream": {
"gated": false,
"repoId": "BAAI/bge-reranker-v2-m3",
"private": false,
"repoUrl": "https://huggingface.co/BAAI/bge-reranker-v2-m3",
"disabled": false,
"provider": "huggingface",
"repoType": "model",
"revision": "953dc6f6f85a1b2dbfca4c34a2796e7dde08d41e",
"fetchedAt": "2026-09-20T03:29:21.294Z",
"importMode": "external-catalog",
"licenseRaw": "apache-2.0",
"licenseDeclared": "apache-2.0",
"mirrorLicensePolicy": "permissive"
}
}Plain-English license guide Upstream source License and source record
The summary never replaces the exact upstream license text, notices, or machine-readable obligations.
Scan: passed. Removed or disputed files stay out of search, mirrors, and APIs.
Evidence details
- Demand
- 16M upstream downloads
- Trust
- Metadata checked 0/100
- Trusted download
- File inventory only
- Run fit
- Canonical selected-byte evidence recorded; public obtain path unavailable
- Scan status
- passed
- Executable state
- complete-bytes
- Evidence timestamp
- 2026-08-19T16:52:17.184Z
- Declared license
- apache-2.0
- Pipeline
- text-classification
- Library
- sentence-transformers
- Task categories
- text-classification
- Languages
- multilingual
- Paper ids
- 2312.15503, 2402.03216
- File hints
- 13 upstream file samples