Steelskull/Q2.5-MS-Mistoria-72b
Steelskull/Q2.5-MS-Mistoria-72b is a 72.7 billion parameter language model developed by Steelskull, built upon the Qwen 2.5 architecture. This model is a merge of multiple base models, including EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1, ZeusLabs/Chronos-Platinum-72B, and shuttleai/shuttle-3. It is specifically designed to enhance robust storytelling capabilities while maintaining overall intelligence, making it suitable for complex narrative generation and conversational AI tasks.
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Q2.5-MS-Mistoria-72b: Merged Storytelling and Intelligence
Steelskull's Q2.5-MS-Mistoria-72b is a substantial 72.7 billion parameter language model, leveraging the Qwen 2.5 architecture. This model represents Steelskull's initial foray into the 72B parameter space, with a core objective to combine the strong storytelling abilities of various models while preserving high levels of intelligence.
Key Characteristics
- Base Architecture: Built on the Qwen 2.5 framework.
- Merged Design: It is a composite model, integrating components from:
EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1ZeusLabs/Chronos-Platinum-72Bshuttleai/shuttle-3
- Primary Goal: Optimized for robust storytelling and maintaining intelligence across diverse tasks.
- Context Length: Features a notable context length of 131,072 tokens.
- Usage Format: Designed to be used with the Qwen format.
Use Cases
This model is particularly well-suited for applications requiring:
- Advanced Narrative Generation: Creating detailed and coherent stories or long-form content.
- Complex Conversational AI: Engaging in extended, intelligent dialogues where context and narrative flow are crucial.
- Creative Writing Assistance: Aiding in the development of intricate plots and character interactions.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.