因此在阅读本文档前,请先阅读rwkv的keras kernel实现和bert4keras3实现,并根据对应的说明安装这两个依赖库。本实现由两个库的拥有者共同开发。 模型的权重可以在bert4keras3仓库中找到下载链接。我们会把所有的模型都上传到modelscope中方便高速下载。 如何定义基于keras的rwkv模型 。 import os os.environ['KERAS...
# The RWKV Language Model - https://github.com/BlinkDL/RWKV-LM ###import torch, types, os, gc, math import numpy as np import torch.nn as nn from torch.nn import functional as F''' This will load rwkv-6 1.6b (L24-D2048) and inference in GPT...
Last commit message Last commit date Latest commit Cannot retrieve latest commit at this time. History 26 Commits cuda w_orig提速 Jun 28, 2024 img readme&license Jun 28, 2024 tokenizer 与rwkv模型整合,精度,tokenizer May 22, 2024 .gitignore ...
Yaziwel/Restore-RWKVPublic NotificationsYou must be signed in to change notification settings Fork4 Star52 New issue Open chenzeanopened this issueJul 21, 2024· 4 comments chenzeancommentedJul 21, 2024 No description provided. 想问一下作者,我还有几个问题: ...
For more information see: https://github.blog/changelog/2023-09-22-github-actions-transitioning-from-node-16-to-node-20/. Show more macOS-latest-cmake Node.js 16 actions are deprecated. Please update the following actions to use Node.js 20: actions/checkout@v3. For more information ...
继续补在GPU上加速RWKV6模型的Linear Attention计算没有写完的内容,对flash-linear-attention库(https://github.com/sustcsonglin/flash-linear-attention)中的fused_recurrent_rwkv6和chunk_rwkv6的前向实现进行解析,也是对Triton写cuda kernel进行继续学习。这里先解读一下fused_recurrent_rwkv6的实现,chunk_rwkv6的...
上一节明确了,我们需要加速RWKV模型中rwkv6_linear_attention_cpu的计算,https://github.com/sustcsonglin/flash-linear-attention 这个库在2024年4月份支持了RWKV6模型,它加速RWKV 6 Linear Attention计算的核心api有两个,fused_recurrent_rwkv6和chunk_rwkv6。现在直接写出profile的代码(https://github.com/BBu...
config.head_size_divisor=8 # default value in https://github.com/BlinkDL/RWKV-LM/blob/main/RWKV-v5/train.py config.dim_ffn = w['blocks.0.ffn.key.weight'].shape[0] config.head_size_a = w['blocks.0.att.time_faaaa'].shape[1] config.n_layer = 0 config.dim_att = w['blocks...
[2024-07-04 10:34:26] INFO auto_config.py:116: Found model configuration: models/rwkv-6-world-3b/config.json [2024-07-04 10:34:28] INFO auto_device.py:79: Found device: cuda:0 [2024-07-04 10:34:29] INFO auto_device.py:88: Not found devic...
@@ -271,7 +271,6 @@ def forward(self, input_ids, seq_idx, state): start_pos.append(0) elif seq_idx[0,ids] != seq_idx[0,ids-1]: start_pos.append(ids) print("start_pos",start_pos) for i,block in enumerate(self.blocks): x = block(x, seq_idx, start_pos, state)if...