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@ -3,7 +3,7 @@ LLaMA is a Large Language Model developed by Meta AI.
It was trained on more tokens than previous models. The result is that the smallest version with 7 billion parameters has similar performance to GPT-3 with 175 billion parameters. It was trained on more tokens than previous models. The result is that the smallest version with 7 billion parameters has similar performance to GPT-3 with 175 billion parameters.
This guide will cover usage through the official `transformers` implementation. For 4-bit mode, head over to [GPTQ models (4 bit mode) This guide will cover usage through the official `transformers` implementation. For 4-bit mode, head over to [GPTQ models (4 bit mode)
](https://github.com/oobabooga/text-generation-webui/wiki/GPTQ-models-(4-bit-mode)). ](GPTQ-models-(4-bit-mode).md).
## Getting the weights ## Getting the weights
@ -42,4 +42,4 @@ python convert_llama_weights_to_hf.py --input_dir /path/to/LLaMA --model_size 7B
```python ```python
python server.py --model llama-7b python server.py --model llama-7b
``` ```