Instructions to use shareAI/bimoGPT-llama2-13b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shareAI/bimoGPT-llama2-13b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="shareAI/bimoGPT-llama2-13b")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shareAI/bimoGPT-llama2-13b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
license: openrail
datasets:
- shareAI/ShareGPT-Chinese-English-90k
language:
- zh
- en
library_name: transformers
pipeline_tag: question-answering
bimoGPT - 一个在llama2 13b基座模型上做中文精细SFT的版本,拥有接近ChatGPT的语气和对话问答能力,以及不错的代码编程能力。
底座:https://www.codewithgpu.com/m/file/llama2-13b-Chinese-chat (中的llama2-13B-sharegpt_cn-epoch2.zip)