Tier 3 Practical open-weight
What the publisher claims: open-source, open-weight
The one-liner: Apache-2.0 embedding family spanning Qwen2 and ModernBERT bases.
The six questions
A AccessScore 3 of 3
weights downloadable
P PermissionScore 3 of 3
Apache 2.0
D DeploymentScore 3 of 3
standard tooling
T TransparencyScore 1 of 3
model cards and evals only
R ReproducibilityScore 1 of 3
Limited to moderate.
G Governance & ParticipationScore 1 of 3
Alibaba-NLP publishes weights only; no public development repo.
License
Apache 2.0 OSI-approved — license source ↗
What is actually released
- weights
- ONNX and OpenVINO builds
- sentence-transformers configs
- model cards
- MTEB results
- paper
Why it matters
Completes the permissive-licence pattern across three independent embedding vendors.
Sources
- https://huggingface.co/api/models/Alibaba-NLP/gte-Qwen2-7B-instruct
- https://huggingface.co/api/models/Alibaba-NLP/gte-base-en-v1.5
- https://huggingface.co/api/models?author=Alibaba-NLP&limit=40
Derived from the openness dataset behind But Is It Open? — snapshot 2026-11-07 ↗. Scores are qualitative readings of the cited evidence, not verdicts; tier measures openness, not intelligence.