cross-encoder/ms-marco-TinyBERT-L2-v2
cross-encoder/ms-marco-TinyBERT-L2-v2 is an open-weights language model for text ranking under the apache-2.0 license (17.0 MB), released Aug 29, 2025. Hosted open-weights model — 6 files carry published SHA-256 checksums you can re-hash. 6 Hugging Bay hosted
- Task
- text ranking
- Size
- 17.0 MB
- Recommended file
- 16.7 MB — model.safetensors
- Files
- 6 hosted of 6 listed
- Released
- Updated on Hugging Bay
FAQ
What is cross-encoder/ms-marco-TinyBERT-L2-v2?
cross-encoder/ms-marco-TinyBERT-L2-v2 is an open-weights language model for text ranking published by cross-encoder, released Aug 29, 2025. Model from Hugging Face for text ranking: cross-encoder/ms-marco-TinyBERT-L2-v2 · sentence transformers
What license does cross-encoder/ms-marco-TinyBERT-L2-v2 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 cross-encoder/ms-marco-TinyBERT-L2-v2?
The total download is 17.0 MB; the recommended download, model.safetensors, is 16.7 MB.
Where can I download cross-encoder/ms-marco-TinyBERT-L2-v2?
Hugging Bay hosts 6 of 6 files for this model, each with a published SHA-256 checksum. Total size: 17.0 MB. The original release is at https://huggingface.co/cross-encoder/ms-marco-TinyBERT-L2-v2.
Has cross-encoder/ms-marco-TinyBERT-L2-v2 been scanned for unsafe files?
Source scan status: passed. 6 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-cross-encoder-ms-marco-tinybert-l2-v2/safety on Hugging Bay.
Does cross-encoder/ms-marco-TinyBERT-L2-v2 run on an RTX 4090 (24GB)?
cross-encoder/ms-marco-TinyBERT-L2-v2 needs ~1.89 GB, which is within the 24 GB on an RTX 4090 (24GB) by memory capacity (~22.11 GB headroom). Computed from stated size and quant, not a runtime guarantee.
Does cross-encoder/ms-marco-TinyBERT-L2-v2 run on an RTX 3090 (24GB)?
cross-encoder/ms-marco-TinyBERT-L2-v2 needs ~1.89 GB, which is within the 24 GB on an RTX 3090 (24GB) by memory capacity (~22.11 GB headroom). Computed from stated size and quant, not a runtime guarantee.
Does cross-encoder/ms-marco-TinyBERT-L2-v2 run on an A100 (80GB)?
cross-encoder/ms-marco-TinyBERT-L2-v2 needs ~1.89 GB, which is within the 80 GB on an A100 (80GB) by memory capacity (~78.11 GB headroom). Computed from stated size and quant, not a runtime guarantee.
Does cross-encoder/ms-marco-TinyBERT-L2-v2 run on a 16GB laptop (no dedicated GPU)?
cross-encoder/ms-marco-TinyBERT-L2-v2 needs ~1.89 GB, which is within the 16 GB on a 16GB laptop (no dedicated GPU) by memory capacity (~14.11 GB headroom). Computed from stated size and quant, not a runtime guarantee.
Does cross-encoder/ms-marco-TinyBERT-L2-v2 run on an 8GB laptop (no dedicated GPU)?
cross-encoder/ms-marco-TinyBERT-L2-v2 needs ~1.89 GB, which is within the 8 GB on an 8GB laptop (no dedicated GPU) by memory capacity (~6.11 GB headroom). Computed from stated size and quant, not a runtime guarantee.
About this artifact
External Hugging Face catalog record for cross-encoder/ms-marco-TinyBERT-L2-v2. Task: text ranking. Library: sentence transformers. Languages: en. Datasets referenced by card metadata: sentence-transformers/msmarco. Popularity signal at import: 467,297 downloads and 44 likes. Files are listed for discovery and verification context; Hugging Bay serves local downloads only after explicit mirror review, scanning, hashing, and signing.
Hosted file inventory
File inventory only. Individually hashed hosted files may be available, but bundle completeness, verification, and runtime state are unknown.
- Hosted files
- 6 of 6
- Reviewed peer-assisted fallbacks
- 0
- Trust bundle
- Trust-bundle JSON
- Review summary
- Review-summary JSON
- Distribution
- Reviewed peer-fallback JSON
Run status
Not hosted here yet — Not hosted here yet — the mirror is in progress. Check back or request it.
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
- 2026-07-31T02:27:24.131Z
- Selected representation
- rep-ba357beaeb548785b20ce27886dadff273e685dac8b416b690c4603c530c263b
- Complete bytes
- yes
- Complete kit
- no
- Verification
- not verified
- Run ready
- not established
- Files
- View file metadata
Bay Run
Try It Now
Run Bay Run's Warm document reranking Pin: query/document relevance scores over a bounded set. Provisional and unmeasured — not a full RAG or semantic-search pipeline.
Call Bay Run's run_pin MCP tool at https://run.huggingbay.xyz/mcp/ with Pin route_f5411cdb31b03621742a58371fa95732, or POST https://run.huggingbay.xyz/v1/run/route_f5411cdb31b03621742a58371fa95732. Served model: cross-encoder/ms-marco-TinyBERT-L2-v2.
run_pin arguments
{
"pin_id": "route_f5411cdb31b03621742a58371fa95732",
"input": {
"query": "How do I reset a password?",
"documents": [
"Open Settings and choose Reset password.",
"Invoices are available under Billing."
]
}
}Copy agent call
# 1. mint a $0 demo bearer (no signup)
TOKEN=$(curl -fsS -X POST https://run.huggingbay.xyz/oauth/token -H 'Content-Type: application/json' \
-d '{"grant_type":"urn:bay-run:grant-type:demo","scope":"mcp:demo"}' | python3 -c 'import sys,json;print(json.load(sys.stdin)["access_token"])')
# 2. run the Pin (MCP run_pin) — the same next_call find_runnable and the search row return
curl -fsS -X POST https://run.huggingbay.xyz/mcp/ -H "Authorization: Bearer $TOKEN" \
-H 'Content-Type: application/json' -H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"run_pin","arguments":{"pin_id":"route_f5411cdb31b03621742a58371fa95732","input":{"query":"How do I reset a password?","documents":["Open Settings and choose Reset password.","Invoices are available under Billing."]}}}}'
# read decision.action first; the receipt in structuredContent is the proof of executionExact live run contract JSON
Request a complete representation
- License: pass - apache-2.0
- Provenance: pass - cross-encoder/ms-marco-TinyBERT-L2-v2
- Scan: pass - passed
- Hosted files: warn - 6/6 repository files hosted; selected representation evaluated separately
- Byte manifest integrity: warn - not final yet
Machine-readable card
Open interactive artifact page
Evidence details
- Demand
- 277K 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
- 2026-07-31T02:27:24.131Z
- Declared license
- apache-2.0
- Pipeline
- text-ranking
- Library
- sentence-transformers
- Task categories
- text-ranking
- Languages
- en
- Referenced datasets
- sentence-transformers/msmarco
- File hints
- 16 upstream file samples