Ornith 1.0 397B FP8
Ornith-1.0-397B-FP8 is DeepReinforce's open-source 397B MoE agentic coding model with FP8 quantization. Built on Qwen 3.5 and RL-trained to jointly optimize scaffolds and solutions, it achieves state-of-the-art performance on Terminal-Bench 2.1, SWE-Bench, and NL2Repo. Supports reasoning, tool use, and 262K context. MIT licensed.
- Type
- Text
- Weights
- Open
- Downloads
- 292k
- Likes
- 186
- Pipeline
- text generation
- License
- mit
Model hub
ornith-ai/Ornith-1.0-397B-FP8
- Repo
- ornith-ai/Ornith-1.0-397B-FP8
- Library
- transformers
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- Public
Technical tags and languages
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About DeepReinforce
1
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).