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Unsloth Flint Model Shows Poor Performance on RecursiveSI Benchmark

The unsloth/flint-GGUF model, specifically the flint-UD-Q3_K_XL.gguf variant, performed poorly on the RecursiveSI Flint Benchmark. Across three different harnesses (OMP, AtomicAgent, and Hermes), the model achieved low scores, solving only 7 out of 12 tasks on OMP and 3 out of 12 on AtomicAgent. The Hermes harness was stopped prematurely due to the model's inefficient file system searches and looping behavior. Consequently, the Deepseek harness was not run. AI

IMPACT Indicates potential limitations in the unsloth/flint-GGUF model's capabilities on certain benchmarks.

RANK_REASON The item discusses the performance of a specific model variant on a benchmark, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Unsloth Flint Model Shows Poor Performance on RecursiveSI Benchmark

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13 / 100
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Tool
The item discusses the performance of a specific model variant on a benchmark, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]
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model release, other
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/mesolimbic-bliss ·

    RecursiveSI Flint Benchmark: unsloth/flint-GGUF flint-UD-Q3_K_XL.gguf

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1xehn3u/recursivesi_flint_benchmark_unslothflintgguf/"> <img alt="RecursiveSI Flint Benchmark: unsloth/flint-GGUF flint-UD-Q3_K_XL.gguf" src="https://preview.redd.it/2phiiiblugxh1.png?width=140&amp;height=7&am…