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Ornith
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Ornith

@ornith_
Once you have tasted flight, you will walk the earth with your eyes turned skywards.
SF Bay Area
huggingface.co/collections/or…
Joined June 2026
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  • Pinned
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    Ornith
    @ornith_
    Aug 19
    Aloha! 🌺Introducing Ornith-1.5, a family of open-source LLMs spanning 9B Dense, 35B MoE, and 397B MoE, trained with self-improving strategies. It achieves state-of-the-art performance among open-source models of comparable size and delivers performance comparable to Claude Opus
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    Ornith
    @ornith_
    24m
    🐦It's use case time! 🧐Here's a nest of spicy use cases you might also find interesting. 🧵1/
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    00:00
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    user avatar
    Ornith
    @ornith_
    Aug 19
    Aloha! 🌺Introducing Ornith-1.5, a family of open-source LLMs spanning 9B Dense, 35B MoE, and 397B MoE, trained with self-improving strategies. It achieves state-of-the-art performance among open-source models of comparable size and delivers performance comparable to Claude Opus
  • user avatar
    Ornith
    @ornith_
    55m
    🐦Tokens now go brrrr 🪽Ornith-1.5 models just got new wings: MTP weights have been updated for the BF16, GGUF, NVFP4 & FP8 variants. 🔗huggingface.co/collections/or…
    user avatar
    Ornith
    @ornith_
    Aug 19
    Aloha! 🌺Introducing Ornith-1.5, a family of open-source LLMs spanning 9B Dense, 35B MoE, and 397B MoE, trained with self-improving strategies. It achieves state-of-the-art performance among open-source models of comparable size and delivers performance comparable to Claude Opus
    Image
  • user avatar
    Ornith
    @ornith_
    Aug 22
    🫡
    user avatar
    witcheer
    Nous Research
    @witcheer
    Aug 22
    turned thinking mode on and re-ran the hard test on Ornith 1.5 35B. GPQA-diamond, same harness as this morning's board, zero-shot greedy, 16k reasoning budget: 52.0 -> 81.8. that lands it level with the best dense 27B rungs on my ladder with their thinking on (79.3 to 80.8),
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  • user avatar
    Ornith
    @ornith_
    Aug 21
    🐦Now we can just burn some tokens🔥 🫡Thanks @runinfrai for the support! runinfra.ai/inference-api/…
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    RunInfra (YC F26)
    @runinfrai
    Aug 21
    216 tok/s. 167ms to first token. 262,144 token context Ornith 1.5 35B is now live on RunInfra $0.10/1M input. $0.40/1M output. $0.01/1M cached. 90% of input hits the cache, so effective input is ~$0.02/1M 1M in + 1M out with a warm cache costs $0.42 runinfra.ai/inference-api/…
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