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Ornith 1.5 praised for speed and tool-calling capabilities

By PulseAugur Editorial · [1 sources] ·

A user on Reddit shared their positive experience with the Ornith 1.5 language model, noting its speed and effectiveness for tool calling. They found it to be a significant improvement over Qwen 3.8 27B for their rapid testing needs, achieving approximately 130 tokens per second. The user praised Ornith 1.5 as a capable daily driver model. AI

IMPACT Ornith 1.5 shows promise as a fast and capable model for developers, potentially improving tool integration and testing workflows.

RANK_REASON User review of a specific model, not a primary release or significant industry event.

Read on r/LocalLLaMA →

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

Ornith 1.5 praised for speed and tool-calling capabilities

How we ranked this

Signal score
2 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
User review of a specific model, not a primary release or significant industry event.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/deathcom65 ·

    Ornith 1.5 is actually pretty good

    <!-- SC_OFF --><div class="md"><p>hey guys i recently started using ornith 1.5 to rapidly test some tools im working on since qwen 3.8 27b was too slow for my testing loop.</p> <p>This model is actually really good. im getting around 130 tokens / second with mtp and its very good…

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