GorgiasML/gpt-oss-20b

Model Overview

The gpt-oss-20b is an open-weight language model from OpenAI's gpt-oss series, designed for robust reasoning and agentic tasks. It features 21 billion parameters, with 3.6 billion active parameters, and is optimized for lower latency and specialized use cases. The model is trained with OpenAI's harmony response format, which is essential for correct operation.

Key Capabilities

• Permissive Apache 2.0 License: Allows for broad experimentation, customization, and commercial deployment without copyleft restrictions.
• Configurable Reasoning Effort: Users can adjust reasoning levels (low, medium, high) to balance detail and latency.
• Full Chain-of-Thought: Provides complete access to the model's internal reasoning process, aiding debugging and increasing output trustworthiness.
• Fine-tunable: Supports parameter fine-tuning for adaptation to specific use cases, even on consumer hardware.
• Agentic Features: Includes native capabilities for function calling, web browsing, Python code execution, and Structured Outputs.
• MXFP4 Quantization: Post-trained with MXFP4 quantization for MoE weights, enabling gpt-oss-20b to run efficiently within 16GB of memory.

Good For

• Specialized Applications: Ideal for use cases requiring specific fine-tuning or lower latency.
• Agentic Workflows: Excels in tasks involving tool use, such as web browsing and code execution.
• Debugging and Transparency: The full chain-of-thought access is beneficial for understanding and verifying model outputs.
• Commercial Deployment: The Apache 2.0 license makes it suitable for integration into commercial products.