In the convert.py file (line 217 in LlamaCPP b1250) : if "max_sequence_length" in config: n_ctx = config["max_sequence_length"] elif "max_position_embeddings" in config: n_ctx = config["max_position_embeddings"] The parameter n_ctx refer...
SGLang is a fast serving framework for large language models and vision language models. - move max_position_embeddings to the last (#1799) · sgl-project/sglang@9ce8e1a
seq = torch.LongTensor([[1,2,0]]) # batch_size=1, seq_len=3,padding_idx=0 embedding = torch.nn.Embedding(num_embeddings=3, embedding_dim=10, padding_idx=0) query, key = embedding(seq), embedding(seq) scores = torch.matmul(query, key.transpose(-2, -1)) mask_p = padding_mask...
# 需要导入模块: from torch.nn import functional [as 别名]# 或者: from torch.nn.functional importmax_pool1d[as 别名]defforward(self, x):# x.shape = (seq_len, batch_size)embedded_sent = self.embeddings(x)# embedded_sent.shape = (seq_len, batch_size, embed_size)lstm_out, (h_n,c...
The context length for Qwen2-57B-A14B is 32k, but the default setting of max_position_embeddings and sliding_window is 131072 in the config.json seems to be incorrect. In comparison, for Qwen2-57B-A14B-Instruct, the same setting is 32768, which appears to be more appropriate. links: http...
max_position_embeddings #8 Open jasonzou opened this issue Aug 21, 2024· 1 comment Commentsjasonzou commented Aug 21, 2024 多谢!学到不少。有一个问题,您的model的 https://github.com/AI-Study-Han/Zero-Chatgpt/blob/d19e74bc3d2f15c743c084fb6949232a17b040d0/pretrain/model/config.json#...
Previously, max position embeddings was missing from the config and thus set to 8192 by default, causing generation issue when current context window is over 8192. This PR hotfixes this issue. cc @patrickvonplaten @simon-mo Co-authored-by: Woosuk Kwon woosuk.kwon@berkeley.edu PR Checklist ...
"cutoff_len": 1024, "max_samples": 1000, "overwrite_cache": True, "preprocessing_num_workers": 4, "output_dir": "saves/llama3-8b/lora/sft", "logging_steps": 10, "save_steps": 500, "plot_loss": True, "overwrite_output_dir": True, "per_device_train_batch_size": 1, # "gradi...