bunnycore/Starling-dolphin-E26-7B

TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:8kPublished:Apr 7, 2024License:apache-2.0Architecture:Transformer0.0K Open Weights Cold

Starling-dolphin-E26-7B is an experimental 7 billion parameter language model developed by bunnycore, created by merging several existing models. This model aims to handle a wide range of tasks, including instruction following and creative writing, leveraging its merged architecture for broad applicability. It is still under development, focusing on exploring the capabilities of merged models.

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Overview

Starling-dolphin-E26-7B is an experimental 7 billion parameter language model developed by bunnycore. It was created by merging multiple powerful models using the model_stock merging method, specifically leveraging mergekit. The base model for this merge is cognitivecomputations/dolphin-2.2.1-mistral-7b.

Key Capabilities

  • Instruction Following: Designed to accurately interpret and execute user instructions.
  • Creative Writing: Aims to generate diverse and imaginative text.
  • Broad Task Handling: The merging approach is intended to equip the model with a wide range of general-purpose language understanding and generation abilities.

Good For

  • Experimental Applications: Ideal for developers and researchers interested in exploring the performance and emergent properties of merged language models.
  • General-Purpose Text Generation: Suitable for tasks requiring both structured instruction adherence and creative output.
  • Development and Prototyping: As an experimental model, it serves as a strong foundation for further fine-tuning and application development.

Popular Sampler Settings

Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.

temperature
top_p
top_k
frequency_penalty
presence_penalty
repetition_penalty
min_p