fiveflow
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LLMEvoLLaMA-3.1-8B-v0.1

Text Generation

text-generation-inference

Inference Endpoints

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fiveflow commited on Oct 20

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 # 🤖 LLM Evolutionary Merge
-🤗 [Model](https://huggingface.co/fiveflow/LLMEvoLLaMA-3.1-8B-v0.1) | 📂 [Github](https://github.com/kwon13/LLM-Evo-Merge) | ✍️ [Blog](작성중..) | 💡[Inspired by Sakana AI](https://github.com/SakanaAI/evolutionary-model-merge)
 ![robot](./assets/robot.jpeg)
 This project aims to optimize model merging by integrating LLMs into evolutionary strategies in a novel way. Instead of using the [CMA-ES](https://en.wikipedia.org/wiki/CMA-ES) approach, the goal is to improve model optimization by [leveraging the search capabilities of LLMs](https://arxiv.org/abs/2402.18381) to explore the parameter space more efficiently and adjust the search scope based on high-performing solutions.

 # 🤖 LLM Evolutionary Merge
+🤗 [Model](https://huggingface.co/fiveflow/LLMEvoLLaMA-3.1-8B-v0.1) | 📂 [Github](https://github.com/kwon13/LLM-Evo-Merge) | ✍️ [Blog](https://fiveflow.notion.site/LLM-based-Evolution-Strategy-Merging-1254cec6dd278041a7f6c07dc4039fe8?pvs=4) | 💡[Inspired by Sakana AI](https://github.com/SakanaAI/evolutionary-model-merge)
 ![robot](./assets/robot.jpeg)
 This project aims to optimize model merging by integrating LLMs into evolutionary strategies in a novel way. Instead of using the [CMA-ES](https://en.wikipedia.org/wiki/CMA-ES) approach, the goal is to improve model optimization by [leveraging the search capabilities of LLMs](https://arxiv.org/abs/2402.18381) to explore the parameter space more efficiently and adjust the search scope based on high-performing solutions.