kekmodel/StopCarbon-10.7B-v3
kekmodel/StopCarbon-10.7B-v3 is an experimental 10.7 billion parameter language model created by kekmodel using mergekit, combining upstage/SOLAR-10.7B-Instruct-v1.0 and VAGOsolutions/SauerkrautLM-SOLAR-Instruct. This model leverages the TIES merging method to integrate the strengths of its base models, offering a unique instruction-following capability within a 4096-token context window. It is designed for general-purpose conversational AI and instruction-based tasks.
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kekmodel/StopCarbon-10.7B-v3 Overview
StopCarbon-10.7B-v3 is an experimental 10.7 billion parameter language model developed by kekmodel. It was created using the mergekit tool, specifically employing the ties merging method to combine two distinct base models:
- upstage/SOLAR-10.7B-Instruct-v1.0: A robust instruction-tuned model.
- VAGOsolutions/SauerkrautLM-SOLAR-Instruct: Another instruction-following variant based on the SOLAR architecture.
This merging approach aims to synthesize the capabilities and knowledge embedded within its constituent models, resulting in a unique instruction-tuned variant. The model operates with a context window of 4096 tokens.
Key Capabilities
- Instruction Following: Designed to respond effectively to user instructions, leveraging the instruction-tuned nature of its base models.
- General-Purpose Text Generation: Capable of generating coherent and contextually relevant text across a variety of prompts.
- Merged Intelligence: Benefits from the combined strengths of SOLAR-10.7B-Instruct-v1.0 and SauerkrautLM-SOLAR-Instruct through the TIES merging technique.
Prompt Template
The model utilizes a specific prompt format for optimal interaction:
### User:
{user}
### Assistant:
{asistant}Good For
- Experimentation with merged models.
- General instruction-based tasks and conversational AI applications.
- Developers looking for a 10.7B parameter model with a unique lineage.