ornith-ai/Ornith-1.5-35B-A3B-NVFP4
text-generation model by ornith-ai
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
[](https://ornith.ai/ornith15.html) Chirp Chirp! 🐦 We are introducing Ornith-1.5, a major step toward building foundation models through end-to-end self-improvement. Ornith-1.5 extends Ornith-1.0 (which was developed on top of Qwen3.5 and Gemma4 with additional continued pretraining, mid-training, and post-training) by expanding the self-improvement loop from scaffold and rollout optimization to jointly optimizing task generation, scaffold construction, and solution rollouts. Rather than relying on a fixed set of human-curated tasks and manually designed harnesses, Ornith-1.5 continuously generates new training tasks, discovers effective strategies for solving them, and improves the policy through reinforcement learning. For more details on the task, harness, and rollout reward design, please refer to our blog. This model card documents Ornith-1.5-35B-A3B, the mid-size mixture-of-experts member of the Ornith-1.5 family. It activates only 3B parameters per token, yet significantly outperforms its similar-sized peer Qwen 3.6-35B across all coding and agentic benchmarks, and outperforms dense models such as Gemma 4-31B and Muse…
Read the full model card ↗ · Preview checked 2026-10-30T13:45:51.702Z
Inside the original model card — Document outline
- Ornith-1.5-35B-A3B
- Ornith 1.5 35B-A3B
- Benchmarks
- Quickstart
- Serving Ornith-1.5-35B-A3B
- vLLM
- SGLang
- For Long-Context
- Using Ornith-1.5-35B-A3B via the Chat Completions API
- Basic Usage
- Agentic Usage
- Ollama
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Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
ornith-ai/Ornith-1.5-35B-A3B-NVFP4 is a text-generation model repository published by ornith-ai on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 1,085,374
- Cumulative likes
- 69
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 19,528,501,104
- Architecture
- Qwen3_5MoeForConditionalGeneration
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-08-18T06:44:43.000Z
- Last modified
- 2026-08-26T06:37:57.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:29.042Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.