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KNN
embracehope666/KNN
KNN is a machine learning model from embracehope666. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for scikit-learn. The card lists the license as other.
This repository stores the frozen model weights used by the KNN multi-agent source package. The source repository contains code, prompts, demo data, manifests, and helper tools; this Hugging Face repository contains o…
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Updated Jul 2, 2026
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.joblib677 MB · 100%
At a glance
- Library
- scikit-learn
- License
- other
- Access
- Public
- Created
- Jul 2, 2026
- Updated
- Jul 2, 2026
- SHA
- 863ba660
Model card
From the Hugging Face model README
KNN Multi-Agent Model Weights
This repository stores the frozen model weights used by the KNN multi-agent source package. The source repository contains code, prompts, demo data, manifests, and helper tools; this Hugging Face repository contains only the large .joblib model artifacts and their manifest.
Targets: d33, Qm, kp, epsilon_r, Tc, OT.
License
These model weights are released for noncommercial research and educational use only under the PolyForm Noncommercial License 1.0.0. See LICENSE and NOTICE.
Commercial use is not permitted without separate written permission from the copyright holders. This includes use in commercial products, services, consulting, internal business operations, paid model development, or other revenue-oriented activity.
Source package configuration:
KNN_MODEL_HF_REPO_ID=embracehope666/KNN
knn-agent download-models
knn-agent check-assets --hashes --weights
The source package also reads hf_repo_id, hf_filename, hf_revision, and hf_repo_type directly from model_weights/model_weight_manifest.csv, so setting KNN_MODEL_HF_REPO_ID is optional when using the released manifest.
Files
| Target | Model ID | File | SHA256 |
|---|---|---|---|
| d33 | median_ensemble_final_predictor | model_weights/d33/median_ensemble_final_predictor.joblib | dde14d3293ec8cc17a09f363ef1f3025e3d77d8399faf97737e0a93d61eae7cd |
| Qm | median_ensemble_final_predictor | model_weights/Qm/median_ensemble_final_predictor.joblib | 74a1acde87c27bfb424bde69c7589a9f60ff83a861e0fb110a8f3e71cf828ff3 |
| kp | median_ensemble_final_predictor | model_weights/kp/median_ensemble_final_predictor.joblib | 0cfc7818f7f4b3229499e84ad8c958948bafa93d1dad76f1bee98679e2cde21a |
| epsilon_r | median_ensemble_final_predictor | model_weights/epsilon_r/median_ensemble_final_predictor.joblib | dfa5713907206ef571fa0c39e8abdf15296d366cbfe7064aec331ae5a01223ef |
| Tc | median_ensemble_final_predictor | model_weights/Tc/median_ensemble_final_predictor.joblib | 00b438f1bafe7153ddf17151f7f446eee18d557826df9cb026548dda1c48b875 |
| OT | median_ensemble_final_predictor | model_weights/OT/median_ensemble_final_predictor.joblib | 6df8523974072b9a92e63a324faebe54a9249ddb13cc4ce0f6c73ba93e02d1cf |
Notes
- The model artifacts are self-contained
median_ensemble_final_predictorfiles. - The
OTtarget usesmodel_weights/OT/median_ensemble_final_predictor.joblib. - The controlled-access training dataset is not included in this model repository.
- Library
- scikit-learn
- License
- other
- Created
- Jul 2, 2026
- Updated
- Jul 2, 2026