method
active
method:qwen-3-0-6b-embedding

Qwen 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 edge

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

  • Qwen3-1.7Bconcept0.859
    Smallest Qwen3 model tested; used in conscientiousness sweep example (Table 6)
  • Qwen3.5-9Bconcept0.829
    Smallest model tested as evolver; produces harness updates comparable to Claude Opus 4.6 on SkillsBench
  • Qwen3-4Bconcept0.815
    4B Qwen3 model tested in OCEAN benchmarks
  • Qwen2.5-VL-7Bconcept0.807
    Base vision-language model used to instantiate ATLAS.
  • Qwen3-32Bconcept0.792
    Weak-tier open-source model exhibiting both harness activation failure and adherence failure, with 25.1% skill-load rate
  • Qwen3-14Bconcept0.776
    14B Qwen3 model quantized to 4-bit NF4; tested in OCEAN benchmarks
  • Qwen3-235B-A22Bconcept0.754
    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