Explore/model/qwen27B-Agent-R2-abliterated-preview
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qwen27B-Agent-R2-abliterated-previewUnknown

Qwen27B‑Agent‑R2‑abliterated‑preview is a 27‑billion‑parameter language model fine‑tuned for agent‑oriented tasks, offering a lightweight, ablated version of the Qwen‑R2 architecture.

modelHugging Face
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Refreshed 14h ago
OverviewActivity52wAlternativesDocs
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Refreshed14h ago
Project healthUnknownNo activity data.
Production readinessResearch / EarlyBest for exploration and prototyping.
Risk notesUnknown licenseVerify license before production use.
AgentHub Score
55 / 100
Composite score from 6 signals. How we score →
Active project
55Score
Growth
40C
Activity
30C
Documentation
70C+
Maturity
45C
Community
42C
Production
58C
GitHub stars · 43 days observed0 not enough history
snapshots
Repository activity · 43 days observedReal snapshots from pushed_at
inactivepushed
2026-07-262026-09-08
Practical assessment
Should you use it?

✓ Best for

  • Tool use and function calling
  • Agent reasoning tasks
  • Structured output generation

◎ Strengths

  • Open weights
  • Local deployment possible
  • Active model development

✕ Not ideal for

  • Production without proper evaluation
  • Tasks requiring 100% reliability

⚠ Watch-outs

  • Benchmark scores may not reflect production performance
  • Check licensing restrictions
Technical details
What's inside
Language
License
Sourcehf hub
Open source✗ No
Commercial use
Docs
Demo
Paper

AgentHub Score

55
Score 55/100
Below average

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Recent activity

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