Ornith 1.0 35B FP8
Ornith-1.0-35B-FP8 is an FP8-quantized 35B-parameter mixture-of-experts language model specialized for agentic coding. Built on Qwen3.5 MoE, it is trained with a self-improving RL framework that jointly learns to solve coding tasks and generate the scaffolds guiding those solutions. MIT-licensed and available for self-hosting via vLLM, SGLang, and Transformers.
- Type
- Text
- Weights
- Open
- Downloads
- 411k
- Likes
- 83
- Pipeline
- text generation
- License
- mit
Model hub
ornith-ai/Ornith-1.0-35B-FP8
- Repo
- ornith-ai/Ornith-1.0-35B-FP8
- Library
- transformers
- Access
- Public
Technical tags and languages
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About DeepReinforce
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DeepReinforce is an AI research startup founded by Dr. Jiwei Li, focused on using reinforcement learning to build agentic AI systems for coding and system optimization. They developed GrandCode (ranked #1 in Codeforces live competitions, beating all human grandmasters), Ornith-1.0 (open-source LLMs for agentic coding, 9B–397B parameters), and IterX (agentic code optimizer surpassing NVIDIA's cuBLAS).