Casual-Autopsy/Giftige-Blume-31B-v1-StyleSwap
VISIONPricing:Input $0.48 / Cached $0.1 / Output $1.44Concurrent Unit Cost:2Model Size:31BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jun 15, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold
Casual-Autopsy/Giftige-Blume-31B-v1-StyleSwap is a 31 billion parameter language model developed by Casual-Autopsy, featuring a 32768 token context length. This model is an experimental variant related to the G4-MeroMero-31B-StyleSwap series. It is designed for tasks requiring nuanced stylistic generation and is suitable for exploring alternative stylistic outputs.
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Model Overview
Casual-Autopsy/Giftige-Blume-31B-v1-StyleSwap is a 31 billion parameter experimental language model with a substantial context window of 32768 tokens. Developed by Casual-Autopsy, this model is presented as a secondary, experimental iteration within the broader "StyleSwap" series, specifically linked to the Casual-Autopsy/G4-MeroMero-31B-StyleSwap project.
Key Characteristics
- Parameter Count: 31 billion parameters, indicating a large-scale model capable of complex language understanding and generation.
- Context Length: A generous 32768 tokens, allowing for processing and generating longer texts while maintaining coherence.
- Experimental Nature: Positioned as an experimental model, suggesting it may explore novel approaches or variations in its design or fine-tuning objectives compared to its related counterpart.
- StyleSwap Series: Part of a series focused on "StyleSwap," implying an emphasis on stylistic manipulation, adaptation, or generation within text.
Potential Use Cases
- Stylistic Text Generation: Ideal for applications requiring the generation of text in specific or varied styles.
- Creative Writing Assistance: Can be used to explore different narrative voices, tones, or literary styles.
- Content Rephrasing: Potentially useful for rephrasing existing content to match a desired stylistic output.
- Research and Development: Suitable for researchers and developers interested in experimenting with large language models focused on stylistic control and variation.