BAAI/bge-large-en-v1.5 Unqualified Community Evidence

Skip to main contentHugging Bay

BAAI/bge-large-en-v1.5 self-reported reviews and receipts are preserved for moderation with no ranking, verification, readiness, badge, or reputation effect during containment.

License: mit
Task: text embeddings
Size: 3.7 GB
Files: 0 listed, none hosted here
Download: Not hosted here; download from Hugging Face
Released: Feb 21, 2024
Updated on Hugging Bay: Feb 21, 2024
Source: BAAI/bge-large-en-v1.5

FAQ

What is BAAI/bge-large-en-v1.5?

BAAI/bge-large-en-v1.5 is an embedding model for text embeddings published by BAAI, released Feb 21, 2024. Model from Hugging Face for feature extraction: BAAI/bge-large-en-v1.5 · sentence transformers

What license does BAAI/bge-large-en-v1.5 use, and 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 BAAI/bge-large-en-v1.5?

The total download is 3.7 GB.

Where can I download BAAI/bge-large-en-v1.5?

Hugging Bay does not host files for this model. Download it from the original Hugging Face release at https://huggingface.co/BAAI/bge-large-en-v1.5. No file list is recorded; total size: 3.7 GB.

Has BAAI/bge-large-en-v1.5 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-large-en-v1-5/safety on Hugging Bay.

Does BAAI/bge-large-en-v1.5 run on an RTX 4090 (24GB)?

BAAI/bge-large-en-v1.5 needs ~5.89 GB, which is within the 24 GB on an RTX 4090 (24GB) by memory capacity (~18.11 GB headroom). Computed from stated size and quant, not a runtime guarantee.

Does BAAI/bge-large-en-v1.5 run on an RTX 3090 (24GB)?

BAAI/bge-large-en-v1.5 needs ~5.89 GB, which is within the 24 GB on an RTX 3090 (24GB) by memory capacity (~18.11 GB headroom). Computed from stated size and quant, not a runtime guarantee.

Does BAAI/bge-large-en-v1.5 run on an A100 (80GB)?

BAAI/bge-large-en-v1.5 needs ~5.89 GB, which is within the 80 GB on an A100 (80GB) by memory capacity (~74.11 GB headroom). Computed from stated size and quant, not a runtime guarantee.

Does BAAI/bge-large-en-v1.5 run on a 16GB laptop (no dedicated GPU)?

BAAI/bge-large-en-v1.5 needs ~5.89 GB, which is within the 16 GB on a 16GB laptop (no dedicated GPU) by memory capacity (~10.11 GB headroom). Computed from stated size and quant, not a runtime guarantee.

Does BAAI/bge-large-en-v1.5 run on an 8GB laptop (no dedicated GPU)?

BAAI/bge-large-en-v1.5 needs ~5.89 GB, which is within the 8 GB on an 8GB laptop (no dedicated GPU) by memory capacity (~2.11 GB headroom). Computed from stated size and quant, not a runtime guarantee.

Community reports

These user-submitted reports stay visible for moderation but do not change ranking, verification, run status, badges, requests, or reputation.

Self-reported reviews: 0
Self-reported average rating: 0.0 / 5
Self-reported run receipts: 0
Helpful votes: 0

Reviews API Community signals API Open interactive community tab

Evidence details

Demand: 15M 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: 2026-07-24T18:48:02.983Z
Declared license: mit
Pipeline: feature-extraction
Library: sentence-transformers
Task categories: feature-extraction
Languages: en
Paper ids: 2401.03462, 2312.15503, 2311.13534, 2310.07554, 2309.07597
Model-index entries: bge-large-en-v1.5
Evaluation signals: 12 model-card eval results

Public files only. Gated and restricted sources stay gated.