ollama / ollama/ollama-python

feat: Physics Benchmark - Tungsten-Graphene 3500K Logic Test

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Description

[Subject / Directive: Open-Source LLM Physics Benchmark - Extreme Thermal Stress Logic]

To the Core Development Team,

I am an independent synthetic data architect currently conducting edge-case stress testing on local, uncensored LLM architectures. My research focuses on extreme-environment mechanics, specifically Tungsten-Graphene interfacial thermal resistance under non-linear conditions.

To evaluate reasoning limits without hallucinations, I have structured a proprietary verification snippet:

[BENCHMARK - SNIPPET 01]
Target: Tungsten (W) - Graphene Interfacial Thermal Conductance at 3500K
Core Variable: Anharmonic decay rate at boundary interface under lattice mismatch.
Directive: Deduce non-equilibrium phonon density of states (DoS) and boundary coupling strength (alpha).

If your current local execution stack or model fine-tunes can successfully parse and resolve these boundary variables, I would like to initiate a direct data-sharing collaboration to test broader logic loops.

Awaiting your architectural feedback.

— T.S. Architect

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Research direction

The issue mentions no repository files, tests, or entry points to inspect. Start by determining whether the requested physics benchmark belongs in this library and identifying a concrete API or test target; completion criteria are not defined, so the desired behavior must be clarified before implementation.

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Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
10/100

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