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
File size: 461 Bytes
0520f67 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"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."
}
|