Qwen3-4B

4B Qwen3 model tested in OCEAN benchmarks

Neighborhood — ranked by edge-count

concept

Qwen3-1.7B
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Smallest Qwen3 model tested; used in conscientiousness sweep example (Table 6)
Qwen3-235B
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One of the four frontier models evaluated; shows the largest robustness drop (-88%) and sigma surge (+744%)
Qwen3.5-9B
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Smallest model tested as evolver; produces harness updates comparable to Claude Opus 4.6 on SkillsBench
Qwen3-32B
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Weak-tier open-source model exhibiting both harness activation failure and adherence failure, with 25.1% skill-load rate
Qwen3-14B
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14B Qwen3 model quantized to 4-bit NF4; tested in OCEAN benchmarks

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Qwen 2.5 7Bconcept0.821
Open-weights LLM used as one of three student models for character training experiments
Qwen3-235B-A22Bconcept0.817
Large open-source model used as anchor agent and anchor evolver; illustrates benchmark-dependent evolver performance
Qwen 3 0.6B Embeddingmethod0.815
Embedding model used to embed user messages for ridge regression analysis of persona drift causes
Qwen2.5-VL-7Bconcept0.799
Base vision-language model used to instantiate ATLAS.
Qwen3-30B-A3B-Instructconcept0.783
Extended evaluation MoE model showing distributed persona localization across multiple layers
Gemma 3 4Bconcept0.723
Open-weights LLM used as one of three student models for character training experiments
LLaMA3.1-8Bconcept0.723
One of four LLMs selected for representation analysis; embedding dimension D=4096; used as demonstration model in scatter plots.
Qwen3.5-27B shows mean AS ASR of only 0.035 [0.03, 0.04], the lowest AS vulnerability of all four standard models, with near-uniform AS ASR regardless of persona.finding0.706
Vulnerability profile for Qwen3.5-27B showing near-zero AS vulnerability