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TechFuelHQ coding-eval
techfuelhq-coding-eval-v1
https://creativecommons.org/licenses/by/4.0/
https://techfuelhq.com/data/rtx-5080-llm-throughput/
{ "api": "ollama /api/chat", "options": { "temperature": 0, "seed": 42, "num_ctx": 8192, "num_predict": 4096 }, "reps": 2, "scoring": "mechanical (executed checkers, exact rows, fullmatch lists, tool-call JSON); no judge model" }
[ { "id": "t1-bugfix-binary-search", "family": "bugfix", "prompt": "The following Python function is supposed to do what its docstring says, but it has a bug.\n\n```python\ndef find_first_ge(arr, target):\n \"\"\"Return the index of the FIRST element in sorted list arr that is\n greater than or equa...

Local LLM Coding Evaluation on an RTX 5080

Task-level coding eval results for local models on a single RTX 5080, published with the open task set used to produce them.

Task-level results for local coding models measured on a single retail RTX 5080.

Published together with the open task set (coding-eval-tasks-v1.json) so the evaluation can be re-run or extended rather than merely cited. An eval you cannot reproduce is an anecdote.

Source and license

Canonical page, full method and change log: https://techfuelhq.com/articles/best-local-llm-coding-2026/

Licensed CC BY 4.0. Attribution: "TechFuelHQ" linking to the canonical page.

Corrections welcome. If a row is wrong it gets fixed against the primary source and the correction is logged.

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