reaperdoesntknow/Qwen3.5-2B-Opus-Distil

VISIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:2.3BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 1, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold

reaperdoesntknow/Qwen3.5-2B-Opus-Distil is a 2.3 billion parameter Qwen3.5 fine-tuned model developed by Convergent Intelligence LLC: Research Division. This text-generation and reasoning model was trained using Unsloth and Hugging Face TRL. It is part of the Opus-Distil line, designed for general text generation and reasoning tasks.

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Qwen3.5-2B-Opus-Distil Overview

This model is a 2.3 billion parameter fine-tune of the Qwen3.5 base model, developed by Convergent Intelligence LLC: Research Division. It is part of the Opus-Distil series within the reaperdoesntknow open-weight portfolio, focusing on text generation and reasoning capabilities. The model was trained utilizing Unsloth and Hugging Face TRL.

Key Capabilities

  • Text Generation: Designed for general text generation tasks.
  • Reasoning: Exhibits reasoning capabilities, making it suitable for tasks requiring logical inference.
  • Efficient Training: Leverages Unsloth for efficient fine-tuning.

Good for

  • Experimental Research: Serves as an experimental research checkpoint for exploring Qwen3.5 fine-tunes.
  • Small-Scale Deployments: Its 2.3B parameter size makes it suitable for applications where computational resources are a consideration.

Note: This is an experimental research checkpoint and has not yet been benchmarked. Users should validate outputs before relying on them for critical applications.

Finetunes
1 models