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
Commit History
6 days ago
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Release independently executed all-framework quantum adapter with stress failures, helper parity and original negative study preserved
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Run intended offline public reproducer and verify every frozen base/adapter execution count
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Stage bounded offline public re-scoring script for a clean execution check before release
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Verify saved quantum adapter and intended inference helper reproduce fixed validation generations exactly
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Score fresh quantum circuit and larger/nonlocal holdouts using independently frozen isolated executor
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Freeze base/adapted quantum programs on fresh circuit and larger/nonlocal stress holdouts for independent execution
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Stage inference helper privately with exact prompt parity on all1368 fresh circuits; no release before execution gate
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Preserve all-framework quantum adapter and paired baseline before final generation; no release claim
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Freeze isolated v2 executor against every fresh reference before reading model programs
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Freeze fresh all-framework quantum circuits with phase gates, unseen angles and larger nonlocal stress holdouts
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Evaluate frozen base/adapter programs under audited nobody/seccomp runner with matched reference checks and exact quantum-state fidelity
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Audit nobody/seccomp execution isolation and exact-state reference parity before evaluating generated programs
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Train original quantum-code LoRA and freeze paired generation for independent execution evaluation
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initial commit
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