Instructions to use itsalissonsilva/QuantumCoder-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use itsalissonsilva/QuantumCoder-9B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-9B") model = PeftModel.from_pretrained(base_model, "itsalissonsilva/QuantumCoder-9B") - Notebooks
- Google Colab
- Kaggle
Release independently executed all-framework quantum adapter with stress failures, helper parity and original negative study preserved
0520f67 verified Download NOTICE from itsalissonsilva/QuantumCoder-9B: direct link, hf CLI and curl.
- Browser
- Download file 259 Bytes
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https://huggingface.co/itsalissonsilva/QuantumCoder-9B/resolve/main/NOTICE
- Command line
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hf download hf://itsalissonsilva/QuantumCoder-9B/NOTICE
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curl -L -o NOTICE https://huggingface.co/itsalissonsilva/QuantumCoder-9B/resolve/main/NOTICE
259 Bytes
| QuantumCoder-9B: modified Qwen3.5-9B with a newly trained low-rank adapter by itsalissonsilva. Base model and software are Apache2.0. Original synthetic curriculum is separately CC BY4.0; see curriculum_v2/LICENSE.md. No upstream base weights redistributed. | |