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DataBubble·

Model Detail

sentence-transformers logo

all-MiniLM-L6-v2

▲ 1.0%
Provider: SBERTCategory: codePipeline: sentence-similarity
DB Score
2.4
Downloads
254.9M
Likes
5K
Day
+1.0%
Week
+0.0%
Month
+27.5%
Overview

all-MiniLM-L6-v2 is a code generation model with 11M parameters released by SBERT. The model is registered under the sentence-similarity pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.

Technical

all-MiniLM-L6-v2 ships with 11M parameters. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Trending Signal

Downloads of all-MiniLM-L6-v2 have moved +1.0% over the past 24 hours, +27.5% over the trailing thirty days. That is a slight downtrend, consistent with normal cooling as newer models compete for the same workloads. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.

Read about databubble_score →
Use Cases

all-MiniLM-L6-v2 is best fit for code completion, repository-scale Q&A, and pair-programming integrations. It is a less obvious choice for one-shot generation of security-critical code without review. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

Download History
Research Paper
arXiv: 1904.06472→
Model Info
Licenseapache-2.0
Citations96 (17 influential)
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