Sytheticbot/Your-gpt-oss-20b

TEXT GENERATIONConcurrent Unit Cost:1Model Size:20BQuant:FP8Context Size:32kPublished:Jul 10, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold

Sytheticbot/Your-gpt-oss-20b is a 21 billion parameter open-weight language model developed by OpenAI, designed for powerful reasoning and agentic tasks. This model, with 3.6 billion active parameters, is optimized for lower latency and specialized use cases, running efficiently within 16GB of memory. It supports configurable reasoning effort (low, medium, high) and provides full chain-of-thought access, making it suitable for debugging and increasing trust in outputs. The model excels in function calling, web browsing, and Python code execution, and is fine-tunable for specific applications.

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Overview

Sytheticbot/Your-gpt-oss-20b is an open-weight language model from OpenAI's gpt-oss series, featuring 21 billion parameters (3.6 billion active parameters). It is designed for robust reasoning, agentic tasks, and versatile developer use cases. This model is particularly suited for scenarios requiring lower latency and efficient operation within 16GB of memory, thanks to MXFP4 quantization of its MoE weights.

Key Capabilities

  • Permissive Apache 2.0 License: Allows for free experimentation, customization, and commercial deployment without copyleft restrictions.
  • Configurable Reasoning Effort: Users can adjust reasoning levels (low, medium, high) to balance speed and detail based on task requirements.
  • Full Chain-of-Thought: Provides complete access to the model's reasoning process, aiding in debugging and enhancing output trustworthiness.
  • Fine-tunable: Can be customized for specialized use cases, with this 20B parameter model being fine-tunable on consumer hardware.
  • Agentic Features: Includes native support for function calling, web browsing, Python code execution, and Structured Outputs.
  • Harmony Response Format: Trained specifically with OpenAI's harmony response format, which must be used for correct functionality.

Good For

  • Applications requiring powerful reasoning and agentic capabilities.
  • Use cases where lower latency and efficient memory usage (e.g., 16GB) are critical.
  • Developers needing a model that supports configurable reasoning and full chain-of-thought for transparency.
  • Fine-tuning for specialized tasks on consumer-grade hardware.
  • Integrating advanced tool use like web browsing and function calling.

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