即参数名和对应的值），模型结构定义在modeling_llama.py。模型初始化的逻辑是先导入modeling_llama.py...
添加一些常数（不影响计算图）是不会改变模型结构的。还是标准结构。只是某个计算式被你改了。
_CONFIG_FOR_DOC = "LlamaConfig" # Copied from transformers.models.bart.modeling_bart._make_causal_mask def _make_causal_mask( input_ids_shape: torch.Size, dtype: torch.dtype, device: torch.device, past_key_values_length: int = 0 ...
在大多数情况下,如果您已经安装了支持LLaMA的transformers版本,并且库的路径没有问题,那么您应该能够直接导入transformers.models.llama.modeling_llama。但是,如果您在尝试导入时遇到错误,可能是由于某些原因(如库的安装路径被修改)导致Python无法找到该模块。 确认导入路径的一个方法是检查transformers库的源代码或安装目录...
LlamaRotaryEmbedding(nn.Module): def __init__(self, dim, max_position_embeddings=2048, base=10000, device=None): super().__init__() self.dim = dim self.max_position_embeddings = max_position_embeddings self.base = base inv_freq ...
⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024) - resolve conflict in modeling_llama_moe_hf · pjlab-sys4nlp/llama-moe@4b632be
class MiniCPMVPreTrainedModel(LlamaPreTrainedModel): config_class = MiniCPMVConfig class MiniCPMV(MiniCPMVPreTrainedModel): def __init__(self, config): super().__init__(config) self.llm = LlamaForCausalLM(config) self.vpm = self.init_vision_module() self.vision_dim = self.vpm....
PyLlama: a stable and versatile Python toolkit for the electromagnetic modeling of multilayered anisotropic mediaMélanie BaySilvia VignoliniKevin Vynck
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm. - AutoGPTQ/auto_gptq/modeling/llama.py at 896d8204bc89a7cfbda42bf3314e13cf4ce20b02 · AutoGPTQ/AutoGPTQ
Source code of paper ''KVSharer: Efficient Inference via Layer-Wise Dissimilar KV Cache Sharing'' - KVSharer/llama_real_share/modeling_llama_kvsharer.py at main · yangyifei729/KVSharer