Anodino/local-llms-benchmark-rtx5090
Local LLMs Benchmark — RTX 5090 Benchmark of 14 local language model configurations (9 distinct models, 27B–31B parameter range) across 9 questions covering logical reasoning, Bayesian statistics, cognitive bias detection, theoretical science, synthesis under contradiction, linguistic ambiguity, code optimization, and AI ethics. Hardware: RTX 5090 24GB | Intel Core Ultra 9 275HX | 64GB RAM | DebianInference backend: Ollama (Docker)Author: Francisco R. · LinkedIn… See the full description on the dataset page: https://huggingface.co/datasets/Anodino/local-llms-benchmark-rtx5090.
Local LLMs Benchmark — RTX 5090
Benchmark of 14 local language model configurations (9 distinct models, 27B–31B parameter range) across 9 questions covering logical reasoning, Bayesian statistics, cognitive bias detection, theoretical science, synthesis under contradiction, linguistic ambiguity, code optimization, and AI ethics.
Hardware: RTX 5090 24GB | Intel Core Ultra 9 275HX | 64GB RAM | Debian Inference backend: Ollama (Docker) Author: Francisco R. · LinkedIn
Full Benchmark
Methodology, scoring, ranking, per-question analysis, and practitioner recommendations: → benchmark_v2_final.md