Qwen3-VL-4B-Instruct qwen3-vl-4b-instruct
qwen · qwen vision efficient
unranked — no quality signals yet
- params
- 4.4B
- arch
- dense
- license
- apache-2.0 open weights
- released
- Oct 2025
- downloads/30d
- 4.1M
# architecture
- layers
- 36
- d_model
- 2560
- heads
- 32q / 8kv
- head dim
- 128
- vocab
- 151936
- family
- qwen3_vl_text
signal path of one layer, generated from the registry's structured fields — dimension lines quote the model's real numbers; an MoE trace forks at the router, a dense trace runs straight through. Geometry fields come from the repo's config.json.
# why ranked
Overall: provisional — score — ● low — a single signal; treat with caution
provisional: too few independent signals for a numbered position — the score is shown, but this model sorts after every ranked model.
| signal | weight | input (0–100) |
|---|---|---|
| aa_intelligence | 0.70 | — |
| bench_composite | 0.30 | 0.0 |
benchmark panel evidence:
| complete panel | score (0–100) |
|---|---|
| aime-2025-v1 | 0.0 |
missing signals are dropped and the remaining weights renormalized — never imputed.
# trend
methodology changed during this history window; score movement across that boundary is not model movement. See methodology v6.
# benchmarks
# where to run
no known API providers — download the weights from Hugging Face and run them yourself.
source aliases
- aa
qwen3-vl-4b-instruct- llmstats
qwen3-vl-4b-instruct