reap
Datasets
All datasets matching “reap”qwen35-reap-layerwise-observations
[!TIP]
Support this work: donate.sybilsolutions.ai
REAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection
qwen35-reap-layerwise-observations
Dataset repository for 0xSero/qwen35-reap-layerwise-observations.
Dataset provenance: contains model prompts, traces, and/or generated outputs collected during REAP/quantization runs. Output content follows the upstream model's usage terms, but no dataset license is asserted here. Contact the uploader… See the full description on the dataset page: https://huggingface.co/datasets/0xSero/qwen35-reap-layerwise-observations.kimi-k2.6-reap-observations-v1
Kimi-K2.6 REAP Observation Data (v1)
Per-layer expert routing + activation statistics captured from moonshotai/Kimi-K2.6
under the REAP layerwise observer (PR #17, CerebrasResearch/reap).
What this is
This dataset contains the observer output of a full REAP calibration pass on
Kimi-K2.6. It is not a pruned model. Each record describes per-token routing
decisions, expert activation norms, and the REAP saliency ingredients for every
MoE layer of the base model.
Downstream… See the full description on the dataset page: https://huggingface.co/datasets/mateowilliam/kimi-k2.6-reap-observations-v1.kimi-k2.6-reap-observations-v1
Kimi-K2.6 REAP Observation Data (v1)
Per-layer expert routing + activation statistics captured from moonshotai/Kimi-K2.6
under the REAP layerwise observer (PR #17, CerebrasResearch/reap).
What this is
This dataset contains the observer output of a full REAP calibration pass on
Kimi-K2.6. It is not a pruned model. Each record describes per-token routing
decisions, expert activation norms, and the REAP saliency ingredients for every
MoE layer of the base model.
Downstream… See the full description on the dataset page: https://huggingface.co/datasets/0xSero/kimi-k2.6-reap-observations-v1.mastodon-scraper
Mastodon Scraper
Read public Mastodon posts by hashtag, instance timeline, trending or account, and get one structured row per post with the author, engagement counts, hashtags, media and outbound links.
Rows in this dataset
24,226
Fields
67
Collector runs behind it
66
Most recent observation
2026-08-04
Browsable presentation
https://reapx.dev/data/mastodon-scraper/ — 7,898 entity pages
Run the collector yourself
https://apify.com/reapx/mastodon-scraper… See the full description on the dataset page: https://huggingface.co/datasets/reapxdev/mastodon-scraper.glm-5.3-reap-fidelity-study
GLM-5.3 REAP Fidelity Study
The evidence behind the GLM-5.3 REAP model series: how each pruned cut was measured, and why it prunes the way it does.
What we measured, and how
Every number here is KL divergence vs the full BF16 model — a token-by-token “how differently do these two models predict the next token” score over a sealed 25-prompt panel across the full 154,880-token vocabulary. 0 = identical, lower = closer. It is a far more sensitive test than benchmark… See the full description on the dataset page: https://huggingface.co/datasets/0xSero/glm-5.3-reap-fidelity-study.bc_reapproach_lv4_0826This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/geonmin-kim/bc_reapproach_lv4_0826.