37 lines
993 B
Markdown
37 lines
993 B
Markdown
# Run LLM chat in realtime on an 8GB NVIDIA GPU
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## Dockerfile for alpaca_lora_4bit
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Based on https://github.com/johnsmith0031/alpaca_lora_4bit
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## Use
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Can run real-time LLM chat using alpaca on a 8GB NVIDIA/CUDA GPU (ie 3070 Ti mobile)
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## Requirements
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- Linux
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- Docker
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- NVIDIA GPU with driver version that supports CUDA 11.7+ (e.g. 525)
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## Installation
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```
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git clone https://github.com/andybarry/alpaca_lora_4bit_docker.git
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docker build -t alpaca_lora_4bit .
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docker run --gpus=all -p 7860:7860 alpaca_lora_4bit
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```
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Point your browser to http://localhost:7860
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## Results
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It's fast on a 3070 Ti mobile. Uses 5-6 GB of GPU RAM.
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The model isn't all that good, sometimes it goes crazy. But hey, as I always say, "when 4-bits _you reach_ look this good you will not."
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## References
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- https://github.com/johnsmith0031/alpaca_lora_4bit
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- https://github.com/s4rduk4r/alpaca_lora_4bit_readme/blob/main/README.md
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- https://github.com/tloen/alpaca-lora
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