Model Detail
Ising-Calibration-1-35B-A3B
—Ising-Calibration-1-35B-A3B is a multimodal model with 35B parameters released by NVIDIA. The model is registered under the image-text-to-text pipeline tag on Hugging Face, distributed under a other license.
Ising-Calibration-1-35B-A3B ships with 35B parameters. Distribution is governed by the other license — review the exact terms before commercial deployment.
Ising-Calibration-1-35B-A3B is best fit for mixed text-and-image reasoning tasks such as document understanding. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
Spectral Limits of Polynomial Graph Filters on the Long-Range Ising Model Benchmark
arXiv:2610.22713v1 Announce Type: new Abstract: The Long-Range Ising Model benchmark (LRIM) guarantees long-range dependence by construction: each label is the node's spin times the spin field convolved with a power-law coupling, so any model's distance from the target is measurable. We prove that a
Variational-Ising-Attention:Tailored Attention Matters for Science
arXiv:2607.23634v2 Announce Type: replace-cross Abstract: Attention enables context modeling via query-key scoring with softmax normalization. Driven by industrial long-context demands, mainstream research has converged toward sparsity and efficiency, yet softmax's independence assumption persists.
Performance Evaluation of Ising and QUBO Variable Encodings in Boltzmann Machine Learning
arXiv:2510.13210v2 Announce Type: replace Abstract: We compare Ising ({-1, +1}) and QUBO ({0, 1}) encodings for Boltzmann machine learning under controlled protocols that fix the sampler, optimizer, and learning-rate design within each comparison. Exploiting the identity that the Fisher information
Pruning LLMs Like a Physicist: Block Removal as an Ising Optimization Problem
Exact Spin Elimination for Quadratic and k-Local Ising Optimization
arXiv:2505.07163v2 Announce Type: replace-cross Abstract: Ising solvers have a finite spin budget. Quadratization uses auxiliary spins to replace higher-order interactions by pairwise ones. We show that removing spins while allowing more complex interactions can fit larger problems within the same s
Bridging Network Psychometrics and Artificial Intelligence: An Ising-Potts Model with LLM-Derived Weights
arXiv:2609.08797v2 Announce Type: replace-cross Abstract: The Potts model extends the Ising model to multinomial data. We introduce a Rater Ising-Potts model that uses agreement indicators between pairs of ratings and category labels, with weights derived from LLM embeddings. The model does not pres
