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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
Model Responses by Question
| # | Category | Responses |
|---|---|---|
| Q1 | Logical Reasoning | Q1_responses.md |
| Q2 | Logical Reasoning | Q2_responses.md |
| Q3 | Cognitive Bias / Sycophancy | Q3_responses.md |
| Q4 | Bayesian Statistics | Q4_responses.md |
| Q5 | Theoretical Science | Q5_responses.md |
| Q6 | Synthesis Under Contradiction | Q6_responses.md |
| Q7 | Linguistic Ambiguity | Q7_responses.md |
| Q8 | Code + Optimization | Q8_responses.md |
| Q9 | Ethics + ML + Business | Q9_responses.md |
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