Zero-Shot Classification
PEFT
Safetensors
English
lev
system-one
decision-model
calibrated-decisions
classification
routing
moderation
lora
Instructions to use interfaze-ai/lev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use interfaze-ai/lev with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-4B") model = PeftModel.from_pretrained(base_model, "interfaze-ai/lev") - Notebooks
- Google Colab
- Kaggle
| { | |
| "name": "lev", | |
| "preset": "4b-instruct", | |
| "step": 18750, | |
| "base_model": "Qwen/Qwen3.5-4B", | |
| "lora_rank": 32, | |
| "mode_b_head": true, | |
| "calibrated": true, | |
| "noul_readout": "rating", | |
| "prompt_style": "chat", | |
| "files": [ | |
| "adapter_config.json", | |
| "adapter_model.safetensors", | |
| "chat_template.jinja", | |
| "mode_b_head.pt", | |
| "tokenizer.json", | |
| "tokenizer_config.json", | |
| "calibration.json" | |
| ], | |
| "metrics": {}, | |
| "created": "2026-09-24T06:29:31+00:00" | |
| } | |