Instructions to use evalengine/decision-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use evalengine/decision-4b 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, "evalengine/decision-4b") - Notebooks
- Google Colab
- Kaggle
Download benchmark.png from evalengine/decision-4b: direct link, hf CLI and curl.
- Browser
- Download file 284 kB
-
https://huggingface.co/evalengine/decision-4b/resolve/main/benchmark.png
- Command line
-
hf download hf://evalengine/decision-4b/benchmark.png
-
curl -L -o benchmark.png https://huggingface.co/evalengine/decision-4b/resolve/main/benchmark.png
284 kB

- Xet hash:
- cb9f4c3d45facdb6933d471ff901800926c250e50dc2bbbe091a3bddc40abb49
- Size of remote file:
- 284 kB
- SHA256:
- 65f07b4c0a12e916fa82bb1d7656ef5c80471fefc45567ce40a81fcf5a83bc6a
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