SelectiveDOPD/QuestA-Qwen3-8b-Selective-Top10pct

TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 12, 2026Architecture:Transformer Featherless Exclusive Cold

QuestA-Qwen3-8b-Selective-Top10pct is an 8 billion parameter language model from SelectiveDOPD, based on the Qwen3 architecture. This model is specifically derived from the `questa_qwen3_8b_JSD_rel_90_100` experiment within the BiDirect-OPD research. It offers a context length of 32768 tokens and is primarily designed for research and development related to its experimental origins.

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Overview

QuestA-Qwen3-8b-Selective-Top10pct is an 8 billion parameter language model developed by SelectiveDOPD, built upon the Qwen3 architecture. This model is a specific iteration from the questa_qwen3_8b_JSD_rel_90_100 experiment, part of the broader BiDirect-OPD research initiatives. It features a substantial context length of 32768 tokens, making it suitable for tasks requiring extensive contextual understanding.

Key Capabilities

  • Experimental Model: Represents a specific checkpoint (global_step_300) from the BiDirect-OPD experiments, offering insights into its development process.
  • Qwen3 Architecture: Leverages the foundational capabilities of the Qwen3 model family.
  • Extended Context Window: Supports a 32768-token context length, beneficial for processing longer texts and complex queries.

Good for

  • Research and Development: Ideal for researchers and developers exploring the outcomes of the BiDirect-OPD experiments.
  • Comparative Analysis: Useful for comparing performance across different checkpoints, with earlier versions available (e.g., global_step_20 to global_step_280).
  • Applications requiring large context: Its 32768-token context window makes it suitable for tasks involving extensive document analysis or long-form content generation within an experimental setting.

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