Microsoft
harrier-oss-v1-0.6b is a open-weight Microsoft embeddings model.
Running this yourself: can likely run on your own machine.
43.6
Quality Score
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Arena ELO
600M
Parameters
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Context
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has official provider benchmark evidence, but not a normalized independent benchmark table yet.
A full normalized benchmark row is not available for this model yet.
Official benchmark evidence is already available below, so this release is still being tracked while the normalized table catches up.
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Mar 2026
Released
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
MAI‑Transcribe‑1 makes speech‑to‑text clearer, faster, and more reliable even in noisy audio. Ranked #1 on the industry-standard FLEURS word error rate benchmark. Now in public preview. Learn more: ht
MAI‑Transcribe‑1 makes speech‑to‑text clearer, faster, and more reliable even in noisy audio. Ranked #1 on the industry-standard FLEURS word error rate benchmark. Now in public preview. Learn more: https://t.co/Gr4Q8jgCwL https://t.co/L6hndn3D34
View sourcemicrosoft/harrier-oss-v1-27b · Hugging Face
Microsoft published benchmark or leaderboard evidence for harrier-oss-v1-27b, harrier-oss-v1-0.6b, harrier-oss-v1-270m, Harrier OSS.
View sourceMeet MAI‑Image‑2. Built with creatives, for real creative work. Ranked #5 on @arena’s text‑to‑image leaderboard. Available now: https://t.co/qT5nArWDm6 https://t.co/fWoDgxlCf5
Meet MAI‑Image‑2. Built with creatives, for real creative work. Ranked #5 on @arena’s text‑to‑image leaderboard. Available now: https://t.co/qT5nArWDm6 https://t.co/fWoDgxlCf5
View sourceBlackBeenie/Neos-Phi-3-14B-v0.1 — Open LLM Leaderboard #55
Avg: 27.0 | IFEval: 40.2 | BBH: 46.6 | MATH: 17.8 | GPQA: 7.4 | MMLU-PRO: 39.6
View source