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
File size: 477 Bytes
b9a47f2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"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"
}
|