Goekdeniz-Guelmez/JOSIE-1.1-4B-Thinking
JOSIE-1.1-4B-Thinking by Gökdeniz Gülmez is a 4 billion parameter, full-weight fine-tuned reasoning model based on Qwen3-4B-Thinking, featuring an extended 65,536 token context length. Optimized for complex logical reasoning, mathematics, STEM applications, and creative writing, it provides direct, uncensored outputs. The model is designed for deep analytical tasks and maintains coherence across long contexts, trained on a curated dataset including distilled reasoning traces and high-quality answer refinements.
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JOSIE-1.1-4B-Thinking: Extended Context Reasoning Model
JOSIE-1.1-4B-Thinking, developed by Gökdeniz Gülmez, is a 4 billion parameter, full-weight fine-tuned model built upon Qwen3-4B-Thinking. It is specifically optimized for extended context logical reasoning, mathematics, STEM applications, and creative writing, supporting a substantial 65,536 token context length.
Key Capabilities & Characteristics
- Deep Reasoning: Excels at multi-step deduction and complex problem decomposition.
- Mathematical & STEM Proficiency: Strong performance in quantitative reasoning, symbolic manipulation, scientific computing, and engineering problems.
- Extended Context Coherence: Maintains logical consistency and understanding across very long inputs.
- Uncensored & Direct Personality: Provides straightforward, honest assistance without excessive flattery or artificial restrictions, designed to challenge flawed assumptions.
- Multilingual Support: Capable across Spanish, French, Portuguese, Italian, Arabic, Chinese, Japanese, Korean, Indonesian, Russian, Vietnamese, German, and Thai.
- Training: Fine-tuned on over 1 billion tokens using a distillation dataset combining reasoning traces from Josie-Zero-8B and high-quality answer refinements from Anthropic Claude models.
When to Use This Model
- Complex Logical Reasoning: Ideal for tasks requiring chain-of-thought processing and multi-step problem-solving.
- Mathematics & STEM: Suited for academic and applied problems in science, technology, engineering, and math.
- Long-Form Content Analysis: Effective for document analysis, long-form reasoning, and synthesizing information from extensive texts.
- Creative Writing with Consistency: Generates stories and dialogues that maintain logical coherence.
Important Considerations
This model is uncensored, meaning it does not include built-in content filtering. Users must implement their own safety layers and content moderation systems for production environments. It is not recommended for safety-critical applications without human oversight.