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 release_audit.json from itsalissonsilva/QuantumCoder-9B: direct link, hf CLI and curl.
- Browser
- Download file 461 Bytes
-
https://huggingface.co/itsalissonsilva/QuantumCoder-9B/resolve/main/release_audit.json
- Command line
-
hf download hf://itsalissonsilva/QuantumCoder-9B/release_audit.json
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curl -L -o release_audit.json https://huggingface.co/itsalissonsilva/QuantumCoder-9B/resolve/main/release_audit.json
461 Bytes
| { | |
| "circuit_groups": 456, | |
| "framework_views": 1368, | |
| "cross_split_group_overlap": 0, | |
| "train_holdout_exact_state_matches": 0, | |
| "max_train_holdout_state_fidelity": 0.9991002699676015, | |
| "state_match_tolerance": 1e-08, | |
| "independent_execution_gate": true, | |
| "saved_helper_all_passed": true, | |
| "scope": "Exact zero-input-state duplicate check across matching dimensions; does not assert full unitary/process or semantic equivalence separation." | |
| } | |