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Deutsch(DE) Bolts 2-Bit-Fassung kostet laut Card 3,4 HLE-Punkte, Ornith misst Terminal-Bench mit angepasstem Qwen-Template. Beide Werte gelten für genau einen Stack – erst

Ornith model benchmarked with Qwen template, yields 3.4 HLE points

A new benchmark for the Ornith model, using a modified Qwen template, has been released. This benchmark, referred to as the "Bolts 2-Bit-Fassung," reportedly costs 3.4 HLE points according to a card. Both benchmark values are specific to a single stack, and further validation is needed through independent Spark runs. AI

IMPACT Provides a specific performance metric for the Ornith model, potentially influencing future model development and comparisons.

RANK_REASON The item describes a benchmark result for a model, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

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

Ornith model benchmarked with Qwen template, yields 3.4 HLE points

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The item describes a benchmark result for a model, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 Deutsch(DE) · aisyndicate ·

    Bolts 2-Bit version costs 3.4 HLE points according to Card, Ornith measures terminal benchmark with adapted Qwen template. Both values apply to exactly one stack – first

    Bolts 2-Bit-Fassung kostet laut Card 3,4 HLE-Punkte, Ornith misst Terminal-Bench mit angepasstem Qwen-Template. Beide Werte gelten für genau einen Stack – erst eigene Spark-Runs machen sie belastbar. https:// aisyndicate.ch/signal-open-wei ght-welle-oktober-2026 # AI # KI # LLM #…