初始化项目，由ModelHub XC社区提供模型

Model: EthanGao123/CellHermes-v1.0
Source: Original Platform

README.md

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+---
+license: llama3.1
+language:
+- en
+base_model:
+- meta-llama/Llama-3.1-8B-Instruct
+pipeline_tag: feature-extraction
+library_name: transformers
+tags:
+- biology
+- omics
+- bio-reasoning
+- scRNA-seq
+- PPI
+---
+
+
+# Overview
+This is the CellHermes model, based on the LLaMA-3.1-8B-instruct architecture developed by Meta, 
+fine-tuned using single-cell RNA sequencing (scRNA-seq) datasets from CellxGene 
+and PPI network from BioGRID. CellHermes is an innovative framework for adapting existing large language models (LLMs) to 
+omics data by transforming various omics data into natural language. This transformation enables LLMs to leverage their powerful understanding and reasoning capabilities for 
+various omics tasks, including perturbation prediction, cell fitness prediction, gene-disease association classification, etc.
+
+# Training Data
+This model was trained on over 0.2 million human transcriptome instruction data and 0.2 million PPI network datasets
+from CellxGene and BioGRID. This dataset covers a broad range of cell types and conditions
+from multiple tissues in both human.
+
+# Tasks
+This model is designed for:
+- Omics data understanding.
+
+# CellHermes Links
+- GitHub: https://github.com/theislab/CellHermes
+- Paper: 
+
+# LLaMa-3.1-8B-Instruct Links
+- Paper: https://arxiv.org/abs/2407.21783
+- Hugging Face: https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct