tepirale/Qwen3.5-27B-ThinkSonic-Coder-27B-dare_ties-MTP

VISIONConcurrent Unit Cost:2Model Size:27BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 14, 2026Architecture:Transformer Featherless Exclusive Cold

tepirale/Qwen3.5-27B-ThinkSonic-Coder-27B-dare_ties-MTP is a 27 billion parameter language model merge based on Qwen/Qwen3.5-27B, created using the DARE TIES method. This model integrates components from ThinkingCap-Qwen3.6-27B, Qwopus3.6-27B-Coder, and Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled. It is designed to enhance reasoning and coding capabilities, leveraging the Qwen3.5 MTP model architecture with a 32768 token context length.

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Model Overview

This model, tepirale/Qwen3.5-27B-ThinkSonic-Coder-27B-dare_ties-MTP, is a 27 billion parameter language model merge built upon the Qwen/Qwen3.5-27B base. It was created using the DARE TIES merge method, a technique for combining pre-trained language models. The merge specifically incorporates the MTP (Multi-Task Pre-training) model from Qwen3.5, with its layers left unchanged to test the performance of the new DARE TIES algorithm.

Key Capabilities & Features

  • Architecture: Based on the Qwen3.5-27B model, known for its robust performance.
  • Merge Method: Utilizes the DARE TIES algorithm, which is designed for efficient and effective model merging.
  • Component Models: Integrates specialized models:
    • bottlecapai/ThinkingCap-Qwen3.6-27B
    • Jackrong/Qwopus3.6-27B-Coder
    • Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled
  • Focus: The inclusion of "Coder" and "Reasoning-Distilled" components suggests an emphasis on coding proficiency and advanced reasoning tasks.
  • Context Length: Supports a context length of 32768 tokens.

Intended Use Cases

This model is particularly well-suited for applications requiring:

  • Code Generation and Understanding: Leveraging the Qwopus3.6-27B-Coder component.
  • Complex Reasoning Tasks: Benefiting from the ThinkingCap and Claude-4.6-Opus-Reasoning-Distilled influences.
  • Research into Model Merging: Serves as a testbed for the DARE TIES algorithm's performance with the Qwen3.5 MTP architecture.

Initial evaluations indicate good performance for this merged model.