method
active
method:qwen-3-0-6b-embeddingQwen 3 0.6B Embedding
Embedding model used to embed user messages for ridge regression analysis of persona drift causes
Neighborhood — ranked by edge-count
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Smallest Qwen3 model tested; used in conscientiousness sweep example (Table 6)
- Smallest model tested as evolver; produces harness updates comparable to Claude Opus 4.6 on SkillsBench
- 4B Qwen3 model tested in OCEAN benchmarks
- Base vision-language model used to instantiate ATLAS.
- Weak-tier open-source model exhibiting both harness activation failure and adherence failure, with 25.1% skill-load rate
- 14B Qwen3 model quantized to 4-bit NF4; tested in OCEAN benchmarks
- Large open-source model used as anchor agent and anchor evolver; illustrates benchmark-dependent evolver performance
- Embedding model used to compute vector representations of adjective sets for cosine similarity analysis in Experiment 3