NotImplementedError: Cannot copy out of meta tensor; no data! This error won't occur if I don't use the flaglow_cpu_mem_usage=True.
What does this PR do? PEFT added support for low_cpu_mem_usage=True when loading adapters in huggingface/peft#1961. This feature is now available when installing PEFT v0.13.0. With this PR, this op...
Additionally, Colossal-AI’s heterogeneous memory manager, Gemini, can offload optimizer states from GPU to CPU which reduces GPU memory footprint. GPU memory and CPU memory (consisting of CPU DRAM or NVMe SSD memory) can be utilized simult...
D:\artificialIntelligence\langchain-ChatGLM\.conda\lib\site-packages\huggingface_hub\file_download.py:133: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support theminC:\Users\jacka\.cache\huggingface\hub. Caching ...
Hello@rafael-ariascalles, as the error suggests, DeepSpeed isn't can't be used when using device_map or low_cpu_mem_usage. The reason is that device_map/low_cpu_mem_usage lead to naive model pipeline parallelism and DeepSpeed is meant for sharded data parallelism. These 2 can't be used...
Instruction-Train The Model: False Epochs: 3 At just over an hour (3,909 seconds) into the training run, I received the error: AlgorithmError: ExecuteUserScriptError: ExitCode 1 ErrorMessage "raise ValueError( ValueError DeepSpeed Zero-3 is not compatible with `low_cpu_mem_usage=True` or ...
🐛 Bug I am running Bert, GPT, GPT2, XLNET. I got very high CPU usage (e.g. 16 cores) with XLNet while the others (Bert, GPT, GPT2) dont. For BERT, GPT, GPT2: CPU 1 cores, 100%GPU For XLNet: CPU 16 cores, 50 to 60% GPU Is there any hidden...
Usage Currently, we supports end-to-end inference through llama.cpp integration. We have provided an all-in-one script. Invoke it with: pip install 3rdparty/llama.cpp/gguf-py huggingface-cli download 1bitLLM/bitnet_b1_58-3B --local-dir ${model_dir} python tools/run_pipeline.py -o ${...
Low VRAM mode:Great for people with small GPU memory or if your VRAM is filled by your LLM. Custom Start-up Settings:Adjust your default start-up settings.Screenshot Narrarator:Use different voices for main character and narration.Example Narration ...
An offline CPU-first low-resource chat application to perform RAG on your corpus of data. Powered by OpenChat and CTranslate2. Topics docker redis transformer caddy redis-search granian rag openchat huggingface huggingface-transformers ctranslate2 litestar retrieval-augmented-generation Resources Readme...