Ornith

Headlines · 3

1. Oct 24
   Community coding benchmark V2 tests five algorithmic tasks on 16GB VRAM

   A Reddit user published version 2 of a community benchmark evaluating models across five algorithmic tasks on hardware with 16GB VRAM and 32GB RAM. The update tightened the tasks, changed the model lineup, and added a GitHub repository with results so others can run the benchmark. The author said CyberTiel and Ornith performed surprisingly well, while LFM and Mellum performed poorly across the tasks and real workloads tested.

   r/LocalLLaMA · 🔥 0
2. Oct 20
   Unsloth posts GGUF quantizations of Ornith-1.5-122B for local use

   Ornith announced on X, in a post reposted by UnslothAI, that Unsloth GGUF files for Ornith-1.5-122B are now available, hosted on Hugging Face in the unsloth/Ornith-1.5-122B-GGUF repository. Ornith credited UnslothAI for the conversion work, and the availability was also flagged in an r/LocalLLaMA post. The same promotional thread describes Ornith-1.5-122B as offering "no tradeoff between strong and fast" and "frontier-level capabilities with exceptional inference efficiency," though the supplied reports include no independent benchmarks for those claims.

   UnslothAI (X) · 🔥 0
3. Oct 20
   Ornith releases 1.5-122B with an expanded self-improvement loop

   Ornith introduced Ornith-1.5-122B, extending its earlier model by jointly optimizing task generation, scaffold construction, and solution rollouts. The developer says the model continuously creates training tasks, discovers solution strategies, and improves its policy through reinforcement learning, with official and Unsloth GGUF files linked in the announcement.

   r/LocalLLaMA · 🔥 0

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