pip install flash-attn --no-build-isolation --use-pep517 手动安装: 如果上述方法仍然无法安装成功,你可以尝试手动安装。 从GitHub上克隆flash-attn的源代码仓库: bash git clone https://github.com/Dao-AILab/flash-attention.git cd flash-attention 然后,使用pip从源代码安装: bash pip install . ...
MAX_JOBS=4 pip install flash-attn --no-build-isolation import torch from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig use_flash_attention = True if torch.cuda.get_device_capability()[0] >= 8: from utils.llama_patch import replace_attn_with_flash_attn print("Us...
also, in future someone could try CXX=g++-10 CC=gcc-10 LD=g++-10 pip install flash-attn --no-build-isolation after running @eduardm 's instructions, I try sudo ln -s /usr/bin/g++-10 /usr/bin/c++ and CXX=g++-10 CC=gcc-10 LD=g++-10 pip install flash-attn --no-build-isolation...
To reproduce the Databricks Runtime ML Python environment in your local Python virtual environment, download therequirements-14.3.txtfile and runpip install -r requirements-14.3.txt. This command installs all of the open source libraries that Databricks Runtime ML uses, but does not install librari...
To reproduce the Databricks Runtime ML Python environment in your local Python virtual environment, download therequirements-15.1.txtfile and runpip install -r requirements-15.1.txt. This command installs all of the open source libraries that Databricks Runtime ML uses, but does not install librari...
- Gemma-2-27B-Chinese-Chat是基于google/gemma-2-27b-it的指导调优语言模型,适用于中英文用户,具有多种能力。 - 提供了Gemma-2-27B-Chinese-Chat的GGUF文件和官方ollama模型的链接。 - 模型基于google/gemma-2-27b-it,模型大小为27.2B,上下文长度为8K。 - 使用LLaMA-Factory进行训练,训练细节包括3个epochs、...
To reproduce the Databricks Runtime ML Python environment in your local Python virtual environment, download the requirements-13.3.txt file and run pip install -r requirements-13.3.txt. This command installs all of the open source libraries that Databricks Runtime ML uses, but does not install ...
//github.com/Dao-AILab/flash-attention/tree/main/csrc/layer_norm Warning: import flash_attn fail, please install FlashAttention to get higher efficiency https://github.com/Dao-AILab/flash-attention Loading checkpoint shards: 100%|██████████████████| 5/5 [00:01<00:00...
attn_output = xops.memory_efficient_attention( query_states, key_states, value_states, attn_bias=xops.LowerTriangularMask() ) else: with torch.backends.cuda.sdp_kernel(enable_flash=True, enable_math=True, enable_mem_efficient=True): attn_output = F.scaled_dot_product_attention(query_...
Help me,please. it's too painful to match the environment!!! (FastChat) C:\Users\44557\FsChat\FastChat\scripts>pip install flash-attn==1.0.5 Collecting flash-attn==1.0.5 Downloading flash_attn-1.0.5.tar.gz (2.0 MB) ━━━