L3.1-Dark-Planet-SpinFire-Uncensored-8B-GGUF
| Property | Value |
|---|---|
| Parameter Count | 8.03B |
| Context Length | 128k tokens |
| License | Apache 2.0 |
| Base Model | LLaMA 3.1 |
What is L3.1-Dark-Planet-SpinFire-Uncensored-8B-GGUF?
This is an uncensored creative writing model built on LLaMA 3.1 architecture, specifically designed for generating vivid prose, storytelling, and roleplay content. The model features an extraordinary compression level with very low perplexity, even lower than Meta's LLaMA 3.1 Instruct. It excels at detailed scene generation, plot development, and character interaction across multiple genres.
Implementation Details
The model is a fusion of multiple high-quality models including Sao10K's L3-8B-Stheno-v3.2, NeverSleep's Llama-3-Lumimaid-8B, Hastagaras's Jamet-8B, and Orenguteng's Llama-3.1-8B-Lexi-Uncensored-V2. It operates with all parameters and temperature settings from 0 to 5, requiring either the LLaMA3 template or Command-R template for optimal performance.
- Significantly improved prose quality and "human-like" output
- Built-in uncensored capabilities with prompt-level control
- Enhanced output lengths with preference for longer generations
- Multiple quant versions available for different use cases
Core Capabilities
- Creative writing and storytelling across all genres
- Plot and sub-plot generation
- Scene continuation and development
- Character dialogue and interaction
- Horror and intense scene creation
- Long-form content generation
Frequently Asked Questions
Q: What makes this model unique?
The model combines high compression with low perplexity while maintaining the ability to generate vivid, detailed prose. It features built-in uncensored capabilities and can handle various creative writing tasks with remarkable consistency.
Q: What are the recommended use cases?
The model excels at creative writing, fiction generation, roleplay scenarios, and storytelling across all genres. It's particularly effective for detailed scene creation, character development, and maintaining coherent narratives in longer outputs.
