DeepSWE Preview deepswe-preview
agentica-org · deepswe agentic coding
unranked — no quality signals yet
- params
- 32.8B
- arch
- dense
- license
- apache-2.0 open weights
- released
- Jul 2025
- downloads/30d
- 1.6k
# architecture
- layers
- 64
- d_model
- 5120
- heads
- 64q / 8kv
- head dim
- 128
- vocab
- 151936
- family
- qwen3
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 44.2 ● 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 | 44.2 |
benchmark panel evidence:
| complete panel | score (0–100) |
|---|---|
| swe-bench-verified-v1 | 44.2 |
missing signals are dropped and the remaining weights renormalized — never imputed.
Coding: provisional — score 33.3 ● 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_coding | 0.30 | — |
| aider_polyglot | 0.30 | — |
| swe_bench_verified | 0.40 | 33.3 |
missing signals are dropped and the remaining weights renormalized — never imputed.
Agentic: #15 — score 33.3 ● low — a single signal; treat with caution
| signal | weight | input (0–100) |
|---|---|---|
| swe_bench_verified | 0.60 | 33.3 |
| swe_rebench | 0.40 | — |
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 v5.
# benchmarks
| benchmark | score | source | date |
|---|---|---|---|
| SWE-bench Verified | 58.8 | SWE-bench | Jun 2025 |
# where to run
no known API providers — download the weights from Hugging Face and run them yourself.
source aliases
- swebench
agentica-org/DeepSWE-Preview