invalid-coder/Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp

Model Overview

invalid-coder/Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp is a 10.7 billion parameter language model developed by invalid-coder. This model is a product of a merge operation, specifically using the slerp (spherical linear interpolation) method, combining two distinct base models:

• jeonsworld/CarbonVillain-en-10.7B-v2
• kyujinpy/Sakura-SOLAR-Instruct

This merging approach aims to synthesize the capabilities of both parent models, potentially leading to a more robust and versatile instruction-following model. The merge configuration specifies distinct t values for self-attention and MLP layers, indicating a fine-tuned blending strategy.

Key Capabilities

• Instruction Following: Inherits instruction-tuned capabilities from its base models.
• Merged Architecture: Benefits from the combined strengths of CarbonVillain-en-10.7B-v2 and Sakura-SOLAR-Instruct.
• Standard Context Window: Supports a context length of 4096 tokens, suitable for a range of conversational and text generation tasks.

Good For

• General Text Generation: Creating coherent and contextually relevant text based on prompts.
• Instruction-Based Tasks: Responding to user instructions and queries effectively.
• Experimentation: Developers interested in exploring the performance characteristics of slerp-merged models.