niklaslenzQwen3.8-27B TQ_XS in the Gauntlet
RTX 5060 Ti 16 GB · tqLLM 1.5.0 (Docker), Qwen3.8-27B TQ_XS + DFlash2-TQ3 drafts, TQ3 KV
What happened on the course
Each range is one task with one answer and no retry. Every wrong or missing target is a miss and costs a penalty loop. The race time is thinking, running, shooting and loops together.
| # | Task | Targets | Hits | Thinking | Buzzer | Penalty loops | Range time |
|---|---|---|---|---|---|---|---|
| 1 | River ferry (puzzle, level 1) | ●✕✕✕✕ | 1 / 5 | 4.9 s | no | 4 (48.0 s) | 60.1 s |
| 2 | Painter (code, level 2) | ●●●●✕ | 4 / 5 | 3.8 s | no | 1 (12.0 s) | 23.0 s |
| 3 | Bench seating (puzzle, level 3) | ✕✕✕✕● | 1 / 5 | 7.6 s | no | 4 (60.0 s) | 74.8 s |
| 4 | Snake (code, level 4) | ✕✕●✕✕ | 1 / 5 | 6.3 s | no | 4 (60.0 s) | 73.5 s |
● hit, ✕ miss. The range time runs from arriving at the mat to leaving the range, loops included. A buzzer means the thinking cap ran out and the game forced the answer.
Every number has its file
Result (result.json) Race log (log.jsonl) Model answers (io.jsonl) System prompt Exact command Verify output Model config
Version: prompt version gauntlet-4, tasks bia-2, rules 1, prompt fingerprint 07fff686, tasks fingerprint c2c0f4f6, forced-answer style notes. Verified: the replay of the race log reproduces the end state and every code answer re-runs to the same verdict. Forced-answer style: how the game asks for the answer when the buzzer sounds (a prefilled answer start, or notes when the engine refuses that). Command and config are normalized: internal addresses appear as 127.0.0.1.
Who made what
- Engine tqLLM 1.5.0 (release v1.5.0, the official Docker image ghcr.io/turbo-tan/tqllm:1.5.0), the quantised model file Qwen3.8-27B-TQ_XS.gguf and the DFlash2-TQ3 drafter file (Hugging Face YTan2000/Qwen3.8-27B-TQ, revision 3eef6f50; the author of the repository is YTan2000)turbo-tan (David Y. Tan)X @coffeecup2020GitHubHugging FaceWebsite
- Base model Qwen3.8-27B (revision 37561816)QwenX @Alibaba_QwenHugging FaceGitHubWebsite
- Draft model (DFlash2; the source of the Qwen3.8-27B drafter is incoai/Qwen3.8-27B-DFlash2)Inco AIX @inco_aiHugging FaceGitHubWebsite
- Speculative decoding method (DFlash) and the Hugging Face mirror of the drafter (z-lab/Qwen3.8-27B-DFlash2)z-lab (Zhijian Liu)X @zhijianliu_Hugging FaceGitHub
- TQ3 conversion of the drafter (the file Qwen3.8-27B-DFlash2-TQ3.gguf is the TQ3 conversion of z-lab/Qwen3.8-27B-DFlash2 made by the tqLLM authors; drafters/NOTICE, lines 3 and 4)turbo-tan (tqLLM authors)GitHubWebsite
Full v2 results of the matching setup (same model, engine, quant and hardware; the engine build of the race is not recorded in the race files) · How the game test works · All races