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qwen3-deckard-large-almost-human-6b-iii-160-omega
**Model Name:** Qwen3-Deckard-Large-Almost-Human-6B-III-160-OMEGA **Base Model:** Qwen3-Jan-v1-256k-ctx-6B-Brainstorm20x **Repository:** [DavidAU/Qwen3-Deckard-Large-Almost-Human-6B-III-160-OMEGA](https://huggingface.co/DavidAU/Qwen3-Deckard-Large-Almost-Human-6B-III-160-OMEGA) **Description:** A highly refined, large-scale fine-tuned version of Qwen3-6B, trained on an in-house dataset inspired by the works of Philip K. Dick. This model is part of the "Deckard" series, emphasizing deep reasoning, creative narrative, and human-like prose. Leveraging the innovative *Brainstorm 20x* training process, it enhances conceptual depth, coherence, and emotional engagement while maintaining strong instruction-following capabilities. Optimized for long-context tasks (up to 256k tokens), it excels in code generation, creative writing, brainstorming, and complex reasoning. The model features a "heavy" fine-tuning (13% of parameters trained, 2x training duration) and includes an additional dataset of biographical and personal writings to restore narrative depth and authenticity. **Key Features:** - Trained using the *Brainstorm 20x* method for enhanced reasoning and narrative quality - Supports 256k context length - Ideal for creative writing, code generation, and step-by-step problem solving - Fully compatible with GGUF, GPTQ, EXL2, AWQ, and HQQ formats - Requires Jinja or CHATML template **Use Case Highlights:** - Long-form storytelling & worldbuilding - Advanced coding with detailed reasoning - Thoughtful brainstorming and idea development - Roleplay and narrative-driven interaction **Note:** The quantized version by mradermacher (e.g., `Qwen3-Deckard-Large-Almost-Human-6B-III-160-OMEGA-GGUF`) is derived from this source. For the full, unquantized model and best performance, use the original repository. **License:** Apache 2.0 **Tags:** #Qwen3 #CodeGeneration #CreativeWriting #Brainstorm20x #PhilipKDick #LongContext #LLM #FineTuned #InstructModel

Repository: localaiLicense: apache-2.0