bunnycore/QandoraExp-7B

Hugging Face
TEXT GENERATIONPricing:Input $0.68 / Cached $0.136 / Output $0.8Concurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Nov 11, 2024Architecture:Transformer0.0K Featherless Exclusive Warm

QandoraExp-7B by bunnycore is a 7.6 billion parameter language model merged using the della method, based on Qwen/Qwen2.5-7B. It integrates three distinct Qwen2.5-7B variants, including Etherll/Qwen2.5-7B-della-test, jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0, and fblgit/cybertron-v4-qw7B-MGS, to combine their respective strengths. This model is designed for general language tasks, leveraging its merged architecture to potentially offer a broader range of capabilities than its individual components, with a context length of 32768 tokens.

Loading preview...

Overview

bunnycore/QandoraExp-7B is a 7.6 billion parameter language model created by bunnycore through a merge of several pre-trained models using the mergekit tool. This model utilizes the della merge method and is built upon the Qwen/Qwen2.5-7B base architecture, featuring a substantial context length of 32768 tokens.

Key Capabilities

  • Enhanced General Performance: By merging three distinct Qwen2.5-7B variants (Etherll/Qwen2.5-7B-della-test, jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0, and fblgit/cybertron-v4-qw7B-MGS), QandoraExp-7B aims to consolidate and improve upon their individual strengths.
  • Broad Task Applicability: The merged architecture suggests suitability for a wide array of natural language processing tasks, benefiting from the diverse characteristics of its constituent models.

Good for

  • Experimentation with Merged Models: Ideal for researchers and developers interested in exploring the performance characteristics of models created via advanced merging techniques like 'della'.
  • General-Purpose Language Applications: Suitable for applications requiring a robust 7B-class model with an extended context window, potentially offering improved performance across various benchmarks due to its composite nature.

Evaluation Highlights

According to the Open LLM Leaderboard, QandoraExp-7B achieves an Avg. score of 28.51. Notable scores include IFEval (0-Shot) at 75.09 and MMLU-PRO (5-shot) at 37.89. Detailed evaluation results are available on the Open LLM Leaderboard.