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Update Using-LoRAs.md

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@ -8,15 +8,16 @@ Based on https://github.com/tloen/alpaca-lora
python download-model.py tloen/alpaca-lora-7b python download-model.py tloen/alpaca-lora-7b
``` ```
2. Load the LoRA. 16-bit, 8-bit, and CPU modes work: 2. Load the LoRA. 16-bit, `--load-in-8bit`, `--load-in-4bit`, and CPU modes work:
``` ```
python server.py --model llama-7b-hf --lora tloen_alpaca-lora-7b python server.py --model llama-7b-hf --lora tloen_alpaca-lora-7b
python server.py --model llama-7b-hf --lora tloen_alpaca-lora-7b --load-in-8bit python server.py --model llama-7b-hf --lora tloen_alpaca-lora-7b --load-in-8bit
python server.py --model llama-7b-hf --lora tloen_alpaca-lora-7b --load-in-4bit
python server.py --model llama-7b-hf --lora tloen_alpaca-lora-7b --cpu python server.py --model llama-7b-hf --lora tloen_alpaca-lora-7b --cpu
``` ```
* For using LoRAs in 4-bit mode, follow [these special instructions](GPTQ-models-(4-bit-mode).md#using-loras-in-4-bit-mode). * For using LoRAs with GPTQ quantized models, follow [these special instructions](GPTQ-models-(4-bit-mode).md#using-loras-in-4-bit-mode).
* Instead of using the `--lora` command-line flag, you can also select the LoRA in the "Parameters" tab of the interface. * Instead of using the `--lora` command-line flag, you can also select the LoRA in the "Parameters" tab of the interface.