DeepAutoAI
/

ldm_soup_Llama-3.1-8B-Inst

@@ -98,200 +98,28 @@ model-index:
       name: Open LLM Leaderboard
 ---
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 # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
 Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_DeepAutoAI__ldm_soup_Llama-3.1-8B-Inst)

       name: Open LLM Leaderboard
 ---
+# Model Card for DeepAutoAI/ldm_soup_Llama-3.1-8B-Inst
+## Overview
+**DeepAutoAI/ldm_soup_Llama-3.1-8B-Inst** is developed by **deepAuto.ai** and builds upon the **VAGOsolutions/Llama-3.1-SauerkrautLM-8B-Instruct** model. Our approach leverages the base model’s pretrained weights and optimizes them for the **Winogrande** and **ARC-Challenge** datasets by training a latent diffusion model on the pretrained weights.
+Through this process, we learn the distribution of the base model's weight space, enabling us to explore optimal configurations. We then sample multiple sets of weights, using the **model-soup averaging technique** to identify the best-performing weights for both datasets. These weights are merged using linear interpolation to create the final model weights for **DeepAutoAI/ldm_soup_Llama-3.1-8B-Inst**.
+This approach has led to improved performance on previously unseen leaderboard tasks, all without any additional task-specific training.
+The work is currently in progress
 ## Evaluation
 ### Results
 # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
 Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_DeepAutoAI__ldm_soup_Llama-3.1-8B-Inst)