Users highlight the Ornith-1.0-35B model's popularity on InferXai while promoting its free trial access on Hugging Face with Claude.
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🐦Chirp chirp! Ornith-1.0-35B is now available in 🤗 HuggingFace Claude!
🤗Come and push Ornith on the swing !
🔗http://huggingface.co/docs/inference-providers/en/integrations/claude-code
Aloha! 🌺 Meet Ornith-1.0, a family of open-source LLMs specialized for agentic coding.
Ornith-1.0 spans the full parameter sizes including 9B Dense, 31B Dense, 35B MoE, and 397B MoE. It achieves state-of-the-art performance among open-source models of comparable size on coding benchmarks including: ✅Terminal-Bench 2.1(77.5) ✅SWE-Bench(82.4 on verified, 62.2 on pro, 78.9 on Multilingual) ✅NL2Repo(48.2) ✅SWE Atlas(41.2 on QnA, 42.6 RF, 39.1 TW) ✅ClawEval(77.1)
Post-trained on top of gemma4 and qwen3.5, Ornith-1.0 employs a novel self-improving training strategy in which reinforcement learning is used to generate not only solution rollouts, but also the task-specific scaffolds that drive those rollouts. By jointly optimizing the scaffold and the resulting solution, the model generate higher-quality solutions in agentic coding.😎
All models are released under the MIT license, enabling full commercial and research use.
📖Tech Blog: http://deep-reinforce.com/ornith_1_0.html 🤗Huggingface: http://huggingface.co/collections/deepreinforce-ai/ornith-10
@ornith_ @huggingface @_akhaliq Can the 9B model run on 8GB VRAM?
@ornith_ @huggingface @_akhaliq 私は３０B程度のDenseモデルを必要としています
@ornith_ @huggingface @_akhaliq 8i5Gp3sxgJrB5f1ng8DhYc3nwG9eNgyeGDwmJdatpump
@ornith_ @huggingface @_akhaliq This model got very popluar on our platform @InferXai as well. try it out for free. https://huggingface.co/deepreinforce-ai/Ornith-1.0-35B/discussions/5
