Question Answering
Transformers
PyTorch
Chinese
English
llama
text-generation
text-generation-inference
Instructions to use FlagAlpha/Llama2-Chinese-13b-Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FlagAlpha/Llama2-Chinese-13b-Chat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="FlagAlpha/Llama2-Chinese-13b-Chat")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("FlagAlpha/Llama2-Chinese-13b-Chat") model = AutoModelForCausalLM.from_pretrained("FlagAlpha/Llama2-Chinese-13b-Chat") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#10 opened about 2 years ago
by
SFconvertbot
[AUTOMATED] Model Memory Requirements
#9 opened about 2 years ago
by
model-sizer-bot
这个FlagAlpha/Llama2-Chinese-13b-Chat扩没扩中文词表,对embedding层训练没有?
#8 opened over 2 years ago
by
hongce-tech
Adding Evaluation Results
#7 opened over 2 years ago
by
leaderboard-pr-bot
请问13B模型所需显存大小是多少呢?是否支持多卡加载呢?
2
#6 opened almost 3 years ago
by
mzhe
how start this model
1
#5 opened almost 3 years ago
by
sk12138
可以使用llama.cpp进行量化吗
#3 opened almost 3 years ago
by
aotsukiqx
fine-tuning and model capability
#2 opened almost 3 years ago
by
vtiyyal1
请问微调使用的中文数据集是什么?
1
#1 opened almost 3 years ago
by
Meliodas007