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#...
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
2. Position-wise feed forward network,其实就是一个 MLP 网络,1 的输出中,每个 d_model 维向量 x 在此先由 xW1+b1 变为 d_ff 维的 x',再经过 max(0, x')W2+b2 回归 d_model 维。之后再是一个 residual connection。输出 size 仍是 [sequence_length, d_model]。 Encoder各步骤示例 Decoder 部...
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 ...
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...
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...
System Info python3.10 -e git+https://github.com/hiyouga/LLaMA-Factory.git@bdde35fd2e4a919c1d63ebfc9a0ea8ba0c97e14c#egg=llamafactory ==((===))== Unsloth 2024.8: Fast Qwen2 patching. Transformers = 4.45.0.dev0. \\ /| GPU: NVIDIA L4. Max memory: 22.161 GB. Platform = Linux...