Pq234/gpt-oss-20b

TEXT GENERATIONConcurrent Unit Cost:1Model Size:20BQuant:FP8Context Size:32kPublished:Jul 1, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

Pq234/gpt-oss-20b is a 21 billion parameter open-weight language model developed by OpenAI, part of the gpt-oss series. Optimized for lower latency and specialized use cases, it features configurable reasoning effort, full chain-of-thought access, and strong agentic capabilities including function calling and web browsing. This model is designed for powerful reasoning and versatile developer applications, running efficiently within 16GB of memory due to MXFP4 quantization.

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gpt-oss-20b: OpenAI's Open-Weight Model for Reasoning and Agentic Tasks

Pq234/gpt-oss-20b is a 21 billion parameter model from OpenAI's gpt-oss series, designed for powerful reasoning and agentic use cases. It is optimized for lower latency and specialized applications, capable of running efficiently within 16GB of memory thanks to MXFP4 quantization of its MoE weights. The model is released under a permissive Apache 2.0 license, allowing for broad experimentation, customization, and commercial deployment.

Key Capabilities and Features

  • Configurable Reasoning Effort: Users can adjust the reasoning level (low, medium, high) to balance response speed and analytical depth.
  • Full Chain-of-Thought Access: Provides complete visibility into the model's reasoning process, aiding debugging and increasing trust in outputs.
  • Agentic Functionality: Excels at function calling, web browsing, Python code execution, and structured outputs.
  • Fine-tunable: The model can be fully customized through parameter fine-tuning, even on consumer hardware.
  • Harmony Response Format: Trained specifically on OpenAI's harmony response format, which is required for correct operation.

Ideal Use Cases

  • Specialized Applications: Suited for tasks requiring lower latency and specific domain expertise.
  • Agent Development: Excellent for building AI agents that require tool use, such as web browsing or function calling.
  • Research and Customization: Its Apache 2.0 license and fine-tuning capabilities make it ideal for developers looking to experiment and adapt models to unique requirements.

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