How to Setup Cosmos-Reason2-2B Uncensored Edition Windows

How to Setup Cosmos-Reason2-2B Uncensored Edition Windows

Deploying this model locally is quickest when done via Docker.

Use the instructions provided below to complete the setup.

The client handles the setup, pulling gigabytes of data automatically.

To guarantee smooth performance, the installation process auto-selects the best possible options for your PC.

📄 Hash Value: 4e5c4714be484fab30ed1642b8ebf35b | 📆 Update: 2026-06-26



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

The Cosmos-Reason2-2B model delivers state‑of‑the‑art reasoning capabilities in a compact 2‑billion parameter package. It leverages a hybrid training approach that combines symbolic reasoning with large‑scale neural data to achieve superior performance on logical inference tasks. Despite its small size, the model maintains a long contextual window, enabling it to process up to 8K tokens per input without significant loss in accuracy. The architecture incorporates efficient attention mechanisms that reduce computational overhead, making it ideal for deployment on edge devices and research experiments. Benchmarks show that Cosmos-Reason2-2B outperforms comparable models by a notable margin on reasoning‑focused datasets while consuming less power. Its open‑source release encourages community contributions, fostering rapid iteration and the development of new reasoning‑augmented applications.

Parameter Value
Parameters 2 B
Context Length 8K tokens
Training Data Hybrid symbolic + neural corpora
Benchmark (MMLU) 84.3 %
Inference Latency 12 ms
Model Size 7.5 MB
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