WestQuantStudio/WQT50M
text-generation model by WestQuantStudio
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
WestQuant Transformer 50M — Quantum Representation Scheduler WQT50M is a 50M-parameter Transformer that ranks quantum transformations. Trained on real Qiskit transpilation outputs — not synthetic data. It predicts which transformation is most promising given a circuit, backend, and optimization objective. WQT50M is a proof-of-concept that a 50M-parameter Transformer can learn structured quantum optimization preferences from real compiler outputs. Researchers building better compiler-optimization models can use this as a baseline. The same QAOA circuit gets different best actions depending on the objective: WQT50M predicts costs in the real magnitude range (not a narrow band):…
Read the full model card ↗ · Preview checked 2026-09-29T09:02:10.818Z
Inside the original model card — Document outline
- WQT50M
- What It Does — 3 Tested Examples
- Example 1: 62% Gate Reduction (Random Circuit, Fidelity-Focused)
- Example 2: Objective-Aware Scheduling (QAOA, Linear Backend)
- Example 3: Calibrated Value Prediction
- Quick Start
- What WQT50M Predicts
- Model
- Validation Results
- 450 tests: 15 circuits × 5 objectives × 6 backends
- By objective
- By circuit type
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
WestQuantStudio/WQT50M is a text-generation model repository published by WestQuantStudio on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 1
- Hugging Face trending score
- 1
- Reported safetensors parameters
- 49,533,952
- Architecture
- LlamaForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-29T06:05:53.000Z
- Last modified
- 2026-09-29T06:06:18.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-29T06:38:10.429Z. Daily imports are snapshots, not real-time monitoring.
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