![image/png](https://cdn-uploads.huggingface.co/production/uploads/644a78de7c5c68c7762886eb/7tt61njxHUvg0xtEc-EeI.png)

---
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 = "BoyangZ/llama3-chinese"

>>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'}]
>>
>> import torch
>> from transformers import AutoModelForCausalLM, AutoTokenizer
>> torch.set_default_device("cuda")
>> model = AutoModelForCausalLM.from_pretrained("BoyangZ/llama3-chinese", torch_dtype="auto", trust_remote_code=True)
>> tokenizer = AutoTokenizer.from_pretrained("BoyangZ/llama3-chinese", trust_remote_code=True)
>> inputs = tokenizer(
>>                    "川普和拜登一起竞选，美国总统,谁获胜的几率大,分析一下?",
>>                    return_tensors="pt",
>>                    return_attention_mask=False
>>                    )
>> outputs = model.generate(**inputs, max_length=200)
>> text = tokenizer.batch_decode(outputs)[0]
>> print(text)


![image/png](https://cdn-uploads.huggingface.co/production/uploads/644a78de7c5c68c7762886eb/t-Ij3o1PwBzZMv8hg9bJM.png)

![image/png](https://cdn-uploads.huggingface.co/production/uploads/644a78de7c5c68c7762886eb/Wa1etCkic0Uz2mDOgmjY5.png)

>>Wechat:18618377979, Gmail:zhouboyang1983@gmail.com