Hugging Face Overview
L3.1-MS-Astoria-70b-v2: Merged Storytelling and Intelligence
L3.1-MS-Astoria-70b-v2 is a 70 billion parameter model developed by SteelSkull, based on the Llama 3.1 architecture. This model represents a "model stock" merge, combining several Llama 3.1-based models to achieve a balance between robust storytelling and general intelligence. It leverages a 32,768-token context window, making it suitable for extended conversations and complex narrative generation.
Key Capabilities
- Enhanced Storytelling: Designed to integrate the narrative strengths of multiple models, aiming for coherent and engaging long-form content.
- Maintained Intelligence: Focuses on preserving the core intelligence of its constituent Llama 3.1 models.
- Flexible Instruction Formats: Supports both the standard Llama 3 instruction format and a specialized "meth" format for stepped thinking, particularly useful when Llama 3's default behavior is insufficient.
- Model Stock Merge: Built from a diverse set of Llama 3.1-70B models, including
mlabonne/Llama-3.1-70B-Instruct-lorablated,migtissera/Tess-3-Llama-3.1-70B,NeverSleep/Lumimaid-v0.2-70B,Sao10K/L3.1-70B-Euryale-v2.2, andArliAI/Llama-3.1-70B-ArliAI-RPMax-v1.2, andnbeerbower/Llama3.1-Gutenberg-Doppel-70B.
Good For
- Applications requiring advanced narrative generation and creative writing.
- Use cases benefiting from a large context window for detailed interactions.
- Developers seeking a model that balances creative output with strong reasoning capabilities.