asigalov61/Qwen3-14B-heretic
TEXT GENERATIONConcurrency Cost:1Model Size:14BQuant:FP8Ctx Length:32kPublished:Nov 18, 2025License:apache-2.0Architecture:Transformer0.0K Open Weights Cold

asigalov61/Qwen3-14B-heretic is a 14.8 billion parameter causal language model, a decensored version of Qwen/Qwen3-14B created using Heretic v1.0.1. It features a unique dual 'thinking' and 'non-thinking' mode for complex reasoning and general dialogue, and excels in human preference alignment and agent capabilities. This model is optimized for scenarios requiring reduced refusal rates compared to its original counterpart.

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Model Overview

asigalov61/Qwen3-14B-heretic is a 14.8 billion parameter causal language model, derived from Qwen/Qwen3-14B and decensored using Heretic v1.0.1. It maintains the original Qwen3's advanced features while significantly reducing refusal rates (5/100 compared to 98/100 for the original).

Key Capabilities

  • Dual-Mode Operation: Seamlessly switches between a 'thinking mode' for complex logical reasoning, math, and coding, and a 'non-thinking mode' for efficient general-purpose dialogue.
  • Enhanced Reasoning: Demonstrates significant improvements in mathematics, code generation, and commonsense logical reasoning, particularly in its thinking mode.
  • Human Preference Alignment: Excels in creative writing, role-playing, multi-turn dialogues, and instruction following.
  • Agent Capabilities: Integrates precisely with external tools in both thinking and non-thinking modes, achieving leading performance in complex agent-based tasks.
  • Multilingual Support: Supports over 100 languages and dialects with strong multilingual instruction following and translation capabilities.
  • Extended Context: Natively supports a 32,768-token context length, extendable up to 131,072 tokens using YaRN scaling.

When to Use This Model

This model is particularly suited for applications requiring:

  • Decensored Responses: Ideal for use cases where the original Qwen3's refusal rates are too high.
  • Complex Problem Solving: Leverage its thinking mode for tasks demanding deep reasoning, such as mathematical proofs or intricate coding challenges.
  • Interactive Applications: Its superior human preference alignment makes it excellent for chatbots, creative writing, and role-playing scenarios.
  • Tool Integration: Utilize its robust agent capabilities for tasks requiring interaction with external tools and APIs.