calibration
imatrix-calibration
Importance Matrix Calibration Datasets
This repository provides calibration datasets used to generate importance matrices (imatrix), which are required to minimize errors when quantizing models with LLaMA C++.
The llama-imatrix program cannot handle parquet files directly and thus requires them to be converted into text format first. There are many ways to do this but a simple approach is to use DuckDB with the following command: duckdb -noheader -ascii -c "SELECT content FROM… See the full description on the dataset page: https://huggingface.co/datasets/eaddario/imatrix-calibration.LLM_calibrationqiskit-calibration-drift
Qiskit Calibration Drift
Calibration parameters from IBM Quantum Heron processors joined to ambient and space-weather conditions at the time of each measurement. Designed for time-series forecasting of qubit drift and for studying environmental coupling to superconducting calibrations.
A GitHub Action (source) polls backend.properties() on every available Heron device every 30 minutes and appends new calibration events keyed on (backend, property, qubit_a, qubit_b… See the full description on the dataset page: https://huggingface.co/datasets/phanerozoic/qiskit-calibration-drift.mechanical-head-mouth-calibration
Mechanical Head Mouth Calibration Dataset
This dataset accompanies the paper Automated Synthesis of Facial Mechanisms for Conversational Animatronic Robots.
It contains 4993 aligned samples captured from a mechanical head mouth system. Each sample consists of:
one monocular camera image
raw paired PWM motor commands
normalized motor commands
MediaPipe mouth/jaw blendshape coefficients
normalized mouth-region landmark coordinates
Dataset Structure
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+-- README.md… See the full description on the dataset page: https://huggingface.co/datasets/Zzz0918/mechanical-head-mouth-calibration.LLM_compression_calibration
LLM Compression Calibration dataset
This dataset is the default calibration dataset used by Neural Magic for one-shot compression of Large Language Models (LLMs).
Note: This dataset is the result of active research and subject to change without notice.
Dataset Details
Dataset Sources
The current version of this dataset is compiled from data from these datasets:
garage-bAInd/Open-Platypus: 10,000 samples
Data Fields
The dataset contains 2 data… See the full description on the dataset page: https://huggingface.co/datasets/neuralmagic/LLM_compression_calibration.GLM-5.3-Flash-calibration-activations-v1
GLM-5.3-Flash calibration activations v1 (BF16, natural routing)
Per-layer block-input activations of zai-org/GLM-5.3-Flash-BF16 @ b1967181 over 92x2048
tokens of the exllamav3 standard_cal_data corpus (pinned): per context, layer_NNN.attn_in
and layer_NNN.mlp_in (bf16, post-norm linear inputs; mlp_in is the router + expert gate/up
input) and layer_NNN.router_logits (fp32, natural top-8 routing ground truth).
Per-expert Hessians E[xx^T], routing statistics and down-proj inputs… See the full description on the dataset page: https://huggingface.co/datasets/malaiwah/GLM-5.3-Flash-calibration-activations-v1.