Overview

The 'simplescaling-s1' model is a refined version of 'simplescaling/s1-32B,' designed to enhance scalability and streamline tasks in AI applications. It focuses on efficiently managing resource allocation while maintaining high performance across various workloads. This model is particularly effective for text generation, summarization, and conversational AI, as it balances speed and accuracy. Users can leverage 'simplescaling-s1' for building scalable applications that require processing large datasets or generating content quickly. Overall, the model achieves impressive results with reduced computational overhead, making it suitable for both research and practical deployments.

Variants

No Variant Cortex CLI command
1 gguf cortex run s1-32b

Use it with Jan (UI)

  1. Install Jan using Quickstart

  2. Use in Jan model Hub:

    cortexso/s1-32b

Use it with Cortex (CLI)

  1. Install Cortex using Quickstart

  2. Run the model with command:

    cortex run s1-32b

Credits

Downloads last month
452
GGUF
Model size
32.8B params
Architecture
qwen2

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no library tag.