shuttleai / shuttle-3.5

Shuttle-3.5

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We are excited to introduce Shuttle-3.5, a fine-tuned version of Qwen3 32b , emulating the writing style of Claude 3 models and thoroughly trained on role-playing data.

• Uniquely support of seamless switching between thinking mode (for complex logical reasoning, math, and coding) and non-thinking mode (for efficient, general-purpose dialogue) within single model , ensuring optimal performance across various scenarios.
• Significantly enhancement in its reasoning capabilities , surpassing previous QwQ (in thinking mode) and Qwen2.5 instruct models (in non-thinking mode) on mathematics, code generation, and commonsense logical reasoning.
• Superior human preference alignment , excelling in creative writing, role-playing, multi-turn dialogues, and instruction following, to deliver a more natural, engaging, and immersive conversational experience.
• Expertise in agent capabilities , enabling precise integration with external tools in both thinking and unthinking modes and achieving leading performance among open-source models in complex agent-based tasks.
• Support of 100+ languages and dialects with strong capabilities for multilingual instruction following and translation .

Model Overview

Shuttle 3.5 has the following features:

• Type: Causal Language Models
• Training Stage: Pretraining & Post-training
• Number of Parameters: 32.8B
• Number of Paramaters (Non-Embedding): 31.2B
• Number of Layers: 64
• Number of Attention Heads (GQA): 64 for Q and 8 for KV
• Context Length: 32,768 natively and 131,072 tokens with YaRN .

Fine-Tuning Details

• Training Setup : The model was trained on 130 million tokens for 40 hours on an H100 GPU.