# Predator Qwen rerun — 5fb2913d-6500-4ecf-9e97-d43f7dd61145 - Started: 2026-05-04T22:02:17Z - Driver host: Slobodans-MacBook-Air.local - Node: predator (http://10.8.0.7:11436) - Engine: llamacpp - Harness: predator-a3b-1 - Purpose: Sloba 2026-05-04: Qwen3-30B-A3B (MoE, 3B active) on GTX 1060 6GB w/ partial offload + reasoning_budget=500 ## Configurations | Key | Cell | GGUF | Reasoning budget | Sampling | System prompt | |---|---|---|---|---|---| | qwen-9b-think500 | `?` | `Qwen3.5-9B-Q4_K_M.gguf` | 500 | T=1.0 top_p=0.95 top_k=20 (thinking-mode) | — | | qwen-9b-nothink | `?` | `Qwen3.5-9B-Q4_K_M.gguf` | 0 | T=0.7 top_p=0.8 top_k=20 (instruct-mode) | Answer directly without showing reasoning. | | qwen3-14b | `?` | `Qwen3-14B-Q4_K_M.gguf` | 1024 | T=0.7 top_p=0.8 top_k=20 (Qwen3 default) | — | ## llama-bench synthetic throughput (pp512 + tg128) | Cell | pp512 (t/s) | tg128 (t/s) | |---|---|---| | qwen3-30b-a3b | — | — | ## VRAM snapshot (used / free / total MB, post-load) | Cell | Used | Free | Total | |---|---|---|---| | qwen3-30b-a3b | 5849 | 181 | 6144 | ## Per-prompt latency, throughput, and thinking-vs-answer split | Cell | Prompt | Cold dur (ms) | Cold tok/s | Warm tok/s mean | Warm dur p50 (ms) | Reasoning chars (warm mean) | Answer chars (warm mean) | Errors | |---|---|---|---|---|---|---|---|---| | qwen-9b-think500 | hello | — | — | — | — | — | — | 0 | | qwen-9b-think500 | P-MEDIUM | — | — | — | — | — | — | 0 | | qwen-9b-think500 | P-HARD | — | — | — | — | — | — | 0 | | qwen-9b-nothink | hello | — | — | — | — | — | — | 0 | | qwen-9b-nothink | P-MEDIUM | — | — | — | — | — | — | 0 | | qwen-9b-nothink | P-HARD | — | — | — | — | — | — | 0 | | qwen3-14b | hello | — | — | — | — | — | — | 0 | | qwen3-14b | P-MEDIUM | — | — | — | — | — | — | 0 | | qwen3-14b | P-HARD | — | — | — | — | — | — | 0 | ## Notes - `Reasoning chars` is `len(message.reasoning_content)` from llama.cpp's response; `Answer chars` is `len(message.content)`. Both averaged over the 3 warm runs. - For `qwen-9b-nothink`, expectation is `Reasoning chars` ≈ 0 (budget=0 + system instruction). - For `qwen-9b-think500`, expectation is `Reasoning chars` materially smaller than the trio-bench's ~1024-budget run; the cap should bound the worst-case. - For `qwen3-14b` on a 6 GB GTX 1060 with an 8.4 GB Q4_K_M GGUF: partial CPU offload kicks in at load time; throughput will be 30-50% of the 9B run.