license: apache-2.0
inference: false
XVERSE-MoE-A4.2B-Chat
使用方法
Transformers 加载方式
可通过以下代码加载 XVERSE-MoE-A4.2B-Chat 模型来进行推理：
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("xverse/XVERSE-MoE-A4.2B-Chat")
model = AutoModelForCausalLM.from_pretrained("xverse/XVERSE-MoE-A4.2B-Chat", trust_remote_code=True, torch_dtype=torch.bfloat16, device_map='auto')
model = model.eval()
inputs = tokenizer('北京的景点：故宫、天坛、万里长城等。\n深圳的景点：', return_tensors='pt').input_ids
inputs = inputs.cuda()
generated_ids = model.generate(inputs, max_new_tokens=64, eos_token_id=tokenizer.eos_token_id, repetition_penalty=1.1)
print(tokenizer.batch_decode(generated_ids, skip_special_tokens=True))
Usage
Loading with Transformers
The XVERSE-MoE-A4.2B-Chat model can be loaded for inference using the following code:
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("xverse/XVERSE-MoE-A4.2B-Chat")
model = AutoModelForCausalLM.from_pretrained("xverse/XVERSE-MoE-A4.2B-Chat", trust_remote_code=True, torch_dtype=torch.bfloat16, device_map='auto')
model = model.eval()
inputs = tokenizer('北京的景点：故宫、天坛、万里长城等。\n深圳的景点：', return_tensors='pt').input_ids
inputs = inputs.cuda()
generated_ids = model.generate(inputs, max_new_tokens=64, eos_token_id=tokenizer.eos_token_id, repetition_penalty=1.1)
print(tokenizer.batch_decode(generated_ids, skip_special_tokens=True))
局限性与免责申明
XVERSE-MoE-A4.2B-Chat 与其他所有 LLM 一样，在某些情况下可能会产生不准确、有偏见或其他令人反感的内容。因此，请谨慎使用模型生成的内容，请勿将生成的有害内容进行传播，在部署任何 XVERSE-MoE-A4.2B-Chat 的应用之前，开发人员应根据其具体应用对模型进行安全测试和调优。
我们强烈警告不要将 XVERSE-MoE-A4.2B-Chat 模型用于制造或传播有害信息，或进行任何可能损害公众、国家、社会安全或违反法规的活动。如果使用 XVERSE-MoE-A4.2B-Chat 模型产生任何问题，无论是数据安全问题、公共舆论风险，还是模型被误解、滥用、传播或不合规使用所引发的任何风险和问题，我们将不承担任何责任。
模型开源协议
使用本仓库的源码需要遵循 Apache-2.0 开源协议，使用 XVERSE-MoE-A4.2B-Chat 的模型权重则需要遵循模型许可协议。
XVERSE-MoE-A4.2B-Chat 模型权重对学术研究完全开放，并且支持免费商用。如需申请商业许可证，请填写【申请表】，如有其他问题或合作，请联系 [email protected]。
Limitations and Disclaimer
Like all other Large Language Models (LLMs), XVERSE-MoE-A4.2B-Chat may produce inaccurate, biased, or otherwise offensive content under certain circumstances. Therefore, please use the content generated by the model with caution and refrain from disseminating harmful content. Before deploying any application of XVERSE-MoE-A4.2B-Chat, developers should conduct safety tests and optimization of the model according to its specific application.
We strongly warn against the use of the XVERSE-MoE-A4.2B-Chat model for producing or spreading harmful information, or conducting any activities that might harm the public, national, or social security, or violate regulations. We assume no responsibility for any problems arising from the use of the XVERSE-MoE-A4.2B-Chat model, whether it be data security issues, public opinion risks, or any risks and issues caused by misunderstanding, misuse, dissemination, or non-compliance with the model.
Open Source License
The use of the source code in this repository must follow the Apache-2.0 open-source license, while the use of the model weights of XVERSE-MoE-A4.2B-Chat needs to adhere to the Model License Agreement.
The XVERSE-MoE-A4.2B-Chat model weights are fully open to academic research and support free commercial use. To apply for a commercial license, please fill in the application form. For other questions or collaborations, please contact [email protected].