bx6d/n1m19-qwen38-27b-memory-window
Qwen3.8-27B on N1M19 — memory window W = 25 / 100 / 200 A follow-up to bx6d/n1m19-test1018-memory-tool-sweep (8 vision-language models × 12 agent configs). Same task, same 50 instances, same agent and inference settings, one model — Qwen3.8-27B — and one question: does a longer memory help? The text and multimodal memory agents keep the W most recent turns of their own observations; the sweep used W = 50, here W = 25, 100 and 200. The sweep's W = 50 runs (qwen38_27b/ in that… See the full description on the dataset page: https://huggingface.co/datasets/bx6d/n1m19-qwen38-27b-memory-window.
| Author / organization | bx6d |
|---|---|
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 28 October 2026 |
| Last updated at source | 28 October 2026 |
Recent changes
- 28 Oct 2026 Description: none → Qwen3.8-27B on N1M19 — memory window W = 25 / 100 / 200 A follow-up to bx6d/n1m19-test1018-memory-tool-sweep (8 vision-language models × 12 agent configs). Same task, same 50 instances, same agent and inference settings, one model — Qwen3.8
- 28 Oct 2026 Topics added embodied-ai, vision-language-models, agents, memory, ai2-thor, procthor, benchmark
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