language:
- zh
license: apache-2.0
metrics:
- accuracy
pipeline_tag: text-generation
It's not a chat model, just using Wizard-LM-Chinese-instruct-evol datesets training with several steps for test the model typical Chinese skill， this is version1, will release version2 for more long context windows and Chat model
Train scenario:
2k context
datasets:Wizard-LM-Chinese-instruct-evol
batchsize:8
steps:500
epchos:2
How to use?
Follow common huggingface-api is enough or using other framework like VLLM, support continue training.
import transformers import torch
model_id = "/aml/llama3-ft"
pipeline = transformers.pipeline( "text-generation", model=model_id, model_kwargs={"torch_dtype": torch.bfloat16}, device_map="auto" ) pipeline("川普和拜登谁能赢得大选??")
[{'generated_text': '川普和拜登谁能赢得大选?](https://www.voachinese.com'}]
Wechat:18618377979, Gmail:zhouboyang1983@gmail.com