Text Classification
PEFT
Safetensors
English
decision-model
calibration
lora
multiple-choice
typesafe
qwen3.5
Eval Results (legacy)
Instructions to use jaredpalmer/kev-0.8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jaredpalmer/kev-0.8b with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("Qwen/Qwen3.5-0.8B-Base") model = PeftModel.from_pretrained(base_model, "jaredpalmer/kev-0.8b") - Notebooks
- Google Colab
- Kaggle
🚀 Try training kev with ms-swift
#4 opened 8 days ago
by
z0o0ey
Extending Kev pointer routing to multi-protocol tool catalogs & BFCL holdouts (Soro-Kev 4B and 0.8B)
#3 opened 12 days ago
by
nisaralll
Add link to paper
#2 opened 22 days ago
by
nielsr
kev performance on fontlab.org/ornotto
#1 opened 29 days ago
by
fontlab