stable-diffusion-webui-forge

cxllm-vendors/stable-diffusion-webui-forge

Files

T

layerdiffusion 44eb4ea837 Support T5&Clip Text Encoder LoRA from OneTrainer

requested by #1727
and some cleanups/licenses
PS: LoRA request must give download URL to at least one LoRA

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__init__.py

integrate llama3's GGUF

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constants.py

integrate llama3's GGUF

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gguf_reader.py

integrate llama3's GGUF

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gguf_writer.py

integrate llama3's GGUF

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lazy.py

integrate llama3's GGUF

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LICENSE

Support T5&Clip Text Encoder LoRA from OneTrainer

2024-09-08 01:39:29 -07:00

metadata.py

integrate llama3's GGUF

2024-08-15 01:45:29 -07:00

quants.py

fix offline quant lora precision

2024-08-31 13:12:23 -07:00

quick_4bits_ops.py

fix old version of pytorch

2024-08-26 06:51:48 -07:00

README.md

reimplement q8/q85/q4 and review and match official gguf

2024-08-15 02:41:15 -07:00

tensor_mapping.py

integrate llama3's GGUF

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utility.py

integrate llama3's GGUF

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vocab.py

integrate llama3's GGUF

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README.md

This is Forge's implementation of GGUF - the difference is that it supports pytorch quant/dequant Codes are based on LLama.cpp's GGUF - the difference is that it supports quant