LlamaRMSNorm is equivalent to T5LayerNorm """ super().__init__() self.weight = nn.Parameter(torch.ones(hidden_size)) self.variance_epsilon = eps def forward(self, hidden_states): input_dtype = hidden_states.dtype hidden_states = hidden_states.to(torch.float32) ...
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. - transformers/src/transformers/models/t5/modeling_t5.py at v4.37.2 · huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. - History for src/transformers/modeling_flax_utils.py - huggingface/transformers
为了评估Memory3的一般能力,我们采用了Huggingface排行榜上的所有任务,并且还包含了两项中文任务。大多数结果展示在表16中,而TruthfulQA则列在表19中。所有结果都是使用lm-evaluation-harness包[44]和HuggingFace Open LLM排行榜配置获得的,即少量示例的数量和评分方法。 如第4.4节所述,为了防止作弊,检索过程中包含了...
In comparison to the fine-tuned LLaMA-2 model, the largest CrystaLLM model has 200 million parameters, whereas the smallest fine-tuned LLaMA-2 model has 7 billion parameters, a difference of more than an order of magnitude in the number of parameters. The smaller size of CrystaLLM makes it...
# Copied from transformers.models.llama.modeling_llama.LlamaRMSNorm with Llama->Mistral class MistralRMSNorm(nn.Module): def __init__(self, hidden_size, eps=1e-6): """ MistralRMSNorm is equivalent to T5LayerNorm """ super().__init__() ...
What does it take to create and deploy a topic modeling web application quickly? I endeavored to find this out using Python NLP packages for topic modeling, Streamlit for the web application framework, and Streamlit Sharing for deployment. ...
基于HuggingFace开发的大型语言模型训练和测试工具。支持webui、终端预测 2024-12-17 17:40:27 积分:1 FinQwen致力于打造开放、稳定、高质量的金融大模型项目,构建基于大模型的 2024-12-17 17:28:53 积分:1 Copyright © 2015 - 2024 https://www.coder100.com/ All rights reserved. 备案号:浙ICP备...
在视觉token序列之上，作者所提的Transformer模型实际上与自回归语言模型相同，因此便采用了LLaMA的...
立即登录 没有帐号,去注册 编辑仓库简介 简介内容 Mirror of https://huggingface.co/deepseek-ai/DeepSeek-V3 主页 取消 保存更改 1 https://gitee.com/hf-models/DeepSeek-V3.git git@gitee.com:hf-models/DeepSeek-V3.git hf-models DeepSeek-V3 DeepSeek-V3 main深圳...