Sign inGet started
Dataset · Hugging Face

ShwStone/moonconv-wildchat-prefill

Mooncake-derived WildChat Prefill Workload A deterministic, ready-to-replay LLM prefill workload. Request arrival shape and target input lengths come from the public Mooncake FAST'25 conversation trace; natural prompt semantics come from prefixes of public WildChat-4.8M conversations. Prompts are materialized as DeepSeek-V3.2 token IDs, so replay does not require redistributing the 3 GB source subset or tokenizing during a benchmark. This is a derived workload, not an original… See the full description on the dataset page: https://huggingface.co/datasets/ShwStone/moonconv-wildchat-prefill.

Author / organizationShwStone
License (as declared)odc-by
Downloads189 (as reported by Hugging Face)
Likes1
Created18 August 2026
Last updated at source18 August 2026
llm-servingprefillworkload-tracewildchatmooncakedeepseek-v3.2
Embed this entry
<iframe src="https://silytics.si/embed/item/1951e401-d760-4e6e-8066-d1eca73c0116" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

189 now (-3 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from ShwStone

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.