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canopy-258m-r3-v2
psikosen/canopy-258m-r3-v2
canopy-258m-r3-v2 is a text generation model from psikosen. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
Canopy-258M-R3 v2 is an ultra-efficient 258.56M parameter Recurrent Mixture-of-Experts (MoE) causal language model designed for high-speed edge computing, mathematical reasoning, Python code synthesis, and browser use.
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- canopy
- Access
- Public
- Created
- Sep 5, 2026
- Updated
- Sep 5, 2026
- SHA
- 0fc529f6
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Model card
From the Hugging Face model README
Canopy-258M-R3 v2 (Browser Agent & Unified Multi-Domain Flagship)
Canopy-258M-R3 v2 is an ultra-efficient 258.56M parameter Recurrent Mixture-of-Experts (MoE) causal language model designed for high-speed edge computing, mathematical reasoning, Python code synthesis, and browser use.
What is New in v2
- Unified Multi-Domain Mastery: 50.0% HumanEval executed pass rate, 100% code syntax, balanced factual and tool execution.
- Natural Browser Interaction Kinematics: Cubic Bézier mouse paths, Gaussian typing cadence, and Set-of-Marks coordinate grounding.
- Visual Screenshot Auditing: Step-by-step visual audit trail generation with coordinate crosshairs.
- Extended Browser Suite Benchmark: 100% pass rate across 7 distinct real-world web interaction modalities.
Model Architecture
- Parameters: 258,555,654 total (~112M active per token)
- Routing: Top-2 across 8 specialized experts with Tokenwise Thought Bus
- Recurrence: 6 middle MoE blocks executed twice (18 effective layers)
Quickstart
- Task
- Text Generation
- Library
- transformers
- Type
- canopy
- License
- apache-2.0
- Languages
- en
- Created
- Sep 5, 2026
- Updated
- Sep 5, 2026