Zero-Shot Classification
Transformers
qwen3_5
feature-extraction
decision-model
system-one
classification
3-bit
hqq
lora
custom_code
Instructions to use BoldingBuilds/Wildcat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BoldingBuilds/Wildcat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="BoldingBuilds/Wildcat", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("BoldingBuilds/Wildcat", trust_remote_code=True) model = AutoModel.from_pretrained("BoldingBuilds/Wildcat", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download NOTICE from BoldingBuilds/Wildcat: direct link, hf CLI and curl.
- Browser
- Download file 422 Bytes
-
https://huggingface.co/BoldingBuilds/Wildcat/resolve/main/NOTICE
- Command line
-
hf download hf://BoldingBuilds/Wildcat/NOTICE
-
curl -L -o NOTICE https://huggingface.co/BoldingBuilds/Wildcat/resolve/main/NOTICE
422 Bytes
| d3-ultra (Decision 3.0) | |
| Copyright 2026 vLLM Semantic Router Team | |
| Wildcat | |
| A 3-bit, LoRA-repaired derivative of d3-ultra by BoldingBuilds. | |
| The repair LoRA learned from the answers of Fastino GLiDE, d3-ultra and Jeffan. | |
| Wildcat is a Derivative Work under the Fastino Community License (LICENSES/FASTINO-LICENSE.txt). | |
| Built with Fastino GLiDE. | |
| GLiDE notice: LICENSES/GLiDE-NOTICE. Qwen license: LICENSES/Qwen3.8-27B-LICENSE. | |