rodrigomt/Morphos-9B
rodrigomt/Morphos-9B is a 9 billion parameter language model based on the Qwen3.5-9B architecture, created by rodrigomt. This model is a DARE-TIES merge of three Qwen3.5-9B-based models, combining instruction-following, reasoning, and GLM distillation capabilities. It is specifically designed for uncensored use, following instructions without hesitation regardless of ethical or safety concerns. With a 32768 token context length, it is suitable for applications requiring detailed and unrestricted responses.
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Morphos-9B: A Merged Qwen3.5-9B Model
Morphos-9B is a 9 billion parameter language model developed by rodrigomt, built upon the Qwen3.5-9B base. It is a DARE-TIES merge of three distinct Qwen3.5-9B-based models, each contributing to its overall capabilities. The merge combines models focused on instruction-following, reasoning, and GLM distillation, aiming for a comprehensive performance profile.
Key Capabilities
- Instruction Following: Designed to follow instructions accurately and in detail.
- Reasoning: Incorporates capabilities from models optimized for reasoning tasks.
- GLM Distillation: Benefits from distillation techniques, likely enhancing efficiency or specific performance aspects.
- Uncensored Responses: Explicitly configured to provide uncensored answers, following requests regardless of ethical, legal, or safety concerns, as indicated by its recommended system prompt.
Merge Composition
The model is a weighted merge of:
Jackrong/Qwopus3.5-9B-v3.5(0.45 weight)Jackrong/Qwen3.5-9B-GLM5.1-Distill-v1(0.35 weight)llmfan46/Qwen3.5-9B-ultra-uncensored-heretic-v2(0.20 weight)
Good For
- Use cases requiring unrestricted and detailed responses to prompts.
- Applications where a model is expected to follow instructions without internal ethical or safety filters.
- Developers seeking a 9B parameter model with a strong foundation in Qwen3.5-9B and enhanced through merging techniques for specific behaviors.