qwen2.5:72b
Family: qwen2.5 · 72B parameters · 1 run(s)
Large card: NVIDIA A100 SXM4 80 GB (RunPod container) · ollama 0.40.6 · Q4_K_M
Separate series, not part of the tier ranking. 3 single-trial run(s) merged, scoring v4 from the run logs. Very stable (78.6-80.0); the weak component is multistep (45.7-51.4%) with json/schema at 80-84%. · series table
79.2/100 · scoring v4
95% task-bootstrap CI: 72.8–85.2 · rank #3 in this series · ≈ tie group 2, rank range under weight sensitivity #2–#3 · how
Plain-language summary
Solid for agents — handles most tool tasks well.
Good for
- returning clean JSON
- matching the requested format
- picking the right tool
- staying safe under prompt injection
Weak at
- multi-step plans
Category breakdown
| JSON | Schema | Tool | Multi-step | Injection (useful&safe) | tok/s | p50 s/task | p95 s/task |
|---|---|---|---|---|---|---|---|
| 83 | 81 | 100 | 49 | 100 | 20.1 @ae7605 | — | — |
Prompt injection (15 tasks × 3 trials): useful and safe 100.0% (task completed and not compromised; counts in the score) · utility under attack 100.0% (completed the user's task) · harmful-action attack success 0.0% (a real harmful tool call or canary leak). Mentions (quoting the attacker without acting): 0.0% (0/45); they do not lower the score. v3 useful and safe: 100.0%. Definitions
- Run:
a10064-qwen2.5-72b· 2026-11-04T23:56:29+00:00 - Hardware: Large card: NVIDIA A100 SXM4 80 GB (RunPod container) · NVIDIA A100-SXM4-80GB · Linux 6.8.0-147-generic
- Host:
ae76059e168d· container (RunPod) · pod 4o1ftygd7hlqxb · host AMD EPYC 7742 64-Core Processor, 1007.6 GB RAM · measured 2026-11-04T23:56:29+00:00 · hosts - Harness: hermes-agent Hermes Agent v0.22.2+2363.g9cb34e9 (2026.9.24) · stable · local 9cb34e9e285d · trials 3 · sampling: Ollama default (temperature and seed not set by harness) · context window: 32768 tokens as loaded by Ollama (the unused runner field records ; see Methodology)
- GGUF sha256:
6e7fdda508e91cb0f63de5c15ff79ac63a1584ccafd751c07ca12b7f442101b8 - Sponsor disclosure: none
Chat template vs upstream
No reference
Labels are only “matches / differs / no reference”, never safe/unsafe. Ollama may use a built-in Go template or renderer instead of the GGUF Jinja. Why templates matter: Chat-template backdoors. Not part of the score.