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40 lines
1.1 KiB
Markdown
40 lines
1.1 KiB
Markdown
# Inference LLaMA models using CPU only
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This repository is intended as a minimal, hackable and readable example to load [LLaMA](https://ai.facebook.com/blog/large-language-model-llama-meta-ai/) ([arXiv](https://arxiv.org/abs/2302.13971v1)) models and run inference.
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In order to download the checkpoints and tokenizer, fill this [google form](https://forms.gle/jk851eBVbX1m5TAv5)
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### Setup
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In a conda env with pytorch / cuda available, run
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```
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pip install -r requirements.txt
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```
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Then in this repository
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```
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pip install -e .
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```
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### Download
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magnet:?xt=urn:btih:ZXXDAUWYLRUXXBHUYEMS6Q5CE5WA3LVA&dn=LLaMA
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### CPU Inference
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Place tokenizer.model and tokenizer_checklist.chk into /tokenizer folder
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Place three files of 7B model into /model folder
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Run it:
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```
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python example-cpu.py
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```
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### FAQ
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- [1. The download.sh script doesn't work on default bash in MacOS X](FAQ.md#1)
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- [2. Generations are bad!](FAQ.md#2)
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- [3. CUDA Out of memory errors](FAQ.md#3)
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- [4. Other languages](FAQ.md#4)
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### Model Card
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See [MODEL_CARD.md](MODEL_CARD.md)
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### License
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See the [LICENSE](LICENSE) file.
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