Ornithogalum
PulseAugur coverage of Ornithogalum — every cluster mentioning Ornithogalum across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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Ornith VLM enhanced for driving QA with Verifiable-Reward Tuning
Researchers have developed a method to improve the efficiency of visual-language models (VLMs) in question-answering tasks, particularly for driving scenarios. By using a technique called Verifiable-Reward Tuning (VRT) …
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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 valu…
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Four large local LLMs benchmarked on RTX 5090 with 128GB RAM
A technical benchmark compares four large local language models (LLMs) running on a single RTX 5090 GPU with 128 GB of RAM. The models tested include DeepSeek-V4.1-Flash (748B parameters), GLM-5.3-Flash (321B parameters…
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Ornithogalum provides early access to new model ahead of launch
Ornithogalum, a company that has not yet released a model, has provided early access to its new model for testing. The model is expected to be officially released tomorrow. One user, PaulGugAI, expressed gratitude for t…
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Hugging Face leaderboards: How benchmarks are populated and viewed
Hugging Face maintains leaderboards for 48 official benchmarks, which are populated by model authors submitting results via .eval_results YAML files in their model repositories. These leaderboards are automatically asse…
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Ornith model upgraded, challenges Qwen 3.8 27B for top local AI spot
The Ornith model, known for its post-training capabilities, has received an upgrade. This enhanced version is now in direct competition with Qwen 3.8 27B for the title of the top-performing local AI model.
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Reddit users debate best local AI harnesses for coding and general use
A Reddit discussion on the r/LocalLLaMA subreddit explores the best local AI harnesses for coding and general use. Users are seeking recommendations for software that can effectively run open-source models like Qwen and…
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Ornith 1.5 AI project focuses on learning to learn
Ornith 1.5 is an AI model training project focused on teaching models not just to solve problems, but also to learn how to learn. This approach aims to push the boundaries of AI model training.
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Ornith-1.5 family of open-source LLMs released, rivals Claude Opus 4.8
AI research organization Ornith has released Ornith-1.5, a family of open-source large language models. The models come in three sizes: Ornith-1.5-397B, Ornith-1.5-35B-A3B, and Ornith-1.5-9B. The largest model, Ornith-1…
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Ornith AI releases Ornith-1.5 model with self-improvement focus
Ornith AI has released Ornith-1.5, a new iteration of their AI model. This version focuses on advancements in self-scaffolding and self-improvement techniques. The release details are available on the Ornith AI website.
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KAT Coder 2.5 Dev outperforms Qwen and Ornith in real-world coding benchmarks
A user has conducted real-world coding benchmark tests on several 35B MoE-class local large language models, comparing Qwen 3.6, Ornith 1.0, and KAT Coder 2.5 Dev. While Qwen 3.6 served as a baseline with good initial p…
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Mac Mini M4 hosts local AI agent with Gemma and Ornith models
A user explored setting up a local AI agent on a Mac Mini M4 with 16GB RAM, aiming for a useful and personable assistant. Initial tests compared Gemma and Ornith models within the OpenClaw harness, with Ornith proving m…
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Ornith 1.0 website displays unusual ads despite ad blockers
The Ornithogalum website, which hosts the Ornith 1.0 model, is displaying unusual advertisements. Users have reported seeing these ads even with ad-blocking software enabled, suggesting a potential issue with the site's…
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Ollama releases new Ornithogalum model
Ollama has released a new model named Ornithogalum, available through its platform. This release is part of Ollama's ongoing efforts to provide access to various large language models.
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Open-source Ornith 1.0 coding models rival Opus 4.7-4.8
A new suite of open-weight coding models, named Ornith 1.0, has been released, featuring sizes ranging from 9 billion to 397 billion parameters. The largest model in this collection is reported to be competitive with An…