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Verification register AI & Agents

Readiness verdict

Qwen3 small dense models (0.6B-4B)

A dated reading of what is claimed, reported, and independently verified in the current evidence.

As of
2026-06-28
Revision
1
Method
v1.0.0

Current reading

The readiness gap, in one scan

AI-assisted assembly · derived results

Claimed
85

Public ambition and stated capability

Reported
81

Observed practitioner reporting

Verified
73

Independently supported evidence

Gap
+12

Claimed minus verified

Evidence strength Strong

Decision

What the current evidence supports

Human editorial judgment · 2026-06-28

Low-friction candidate

Why
Apache-2.0 licensing, strong sourced benchmarks (4B matching prior 7B-class), multilingual breadth, and huge ecosystem activity make these the lowest-friction small open models — with only narrow caveats at the smallest size and in reasoning-mode tooling.
Next
Adopt Qwen3-4B (or 1.7B) under Apache 2.0 for on-device/cost-sensitive tasks; benchmark the 0.6B only for narrow classification/routing, and validate tool-calling in the chosen serving stack (avoid the noted vLLM reasoning-parse pitfall).

Constraints

Blockers

No named blocker is present in the current public projection.

Evidence summary

Derived counts

AI-assisted assembly

Total
8
Tier 1
0
Tier 2
1
Tier 3
7
Supports
5
Contradicts
2
Context
1
Latest observed
2025-06-30

Counts and dates only. Raw signals, private excerpts, trust records, and internal corpus material are not published here.

Publication record

Revisions

Initial public reading

This is the initial public reading. No earlier readiness change is recorded.

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