mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-10-01 01:26:03 -04:00
57 lines
1.9 KiB
Markdown
57 lines
1.9 KiB
Markdown
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.
|
|
|
|
This guide will cover usage through the official `transformers` implementation. For 4-bit mode, head over to [GPTQ models (4 bit mode)
|
|
](GPTQ-models-(4-bit-mode).md).
|
|
|
|
## Getting the weights
|
|
|
|
### Option 1: pre-converted weights
|
|
|
|
* Direct download (recommended):
|
|
|
|
https://huggingface.co/Neko-Institute-of-Science/LLaMA-7B-HF
|
|
|
|
https://huggingface.co/Neko-Institute-of-Science/LLaMA-13B-HF
|
|
|
|
https://huggingface.co/Neko-Institute-of-Science/LLaMA-30B-HF
|
|
|
|
https://huggingface.co/Neko-Institute-of-Science/LLaMA-65B-HF
|
|
|
|
* Torrent:
|
|
|
|
https://github.com/oobabooga/text-generation-webui/pull/530#issuecomment-1484235789
|
|
|
|
The tokenizer files in the torrent above are outdated, in particular the files called `tokenizer_config.json` and `special_tokens_map.json`. Here you can find those files: https://huggingface.co/oobabooga/llama-tokenizer
|
|
|
|
### Option 2: convert the weights yourself
|
|
|
|
1. Install the `protobuf` library:
|
|
|
|
```
|
|
pip install protobuf==3.20.1
|
|
```
|
|
|
|
2. Use the script below to convert the model in `.pth` format that you, a fellow academic, downloaded using Meta's official link.
|
|
|
|
If you have `transformers` installed in place:
|
|
|
|
```
|
|
python -m transformers.models.llama.convert_llama_weights_to_hf --input_dir /path/to/LLaMA --model_size 7B --output_dir /tmp/outputs/llama-7b
|
|
```
|
|
|
|
Otherwise download [convert_llama_weights_to_hf.py](https://github.com/huggingface/transformers/blob/main/src/transformers/models/llama/convert_llama_weights_to_hf.py) first and run:
|
|
|
|
```
|
|
python convert_llama_weights_to_hf.py --input_dir /path/to/LLaMA --model_size 7B --output_dir /tmp/outputs/llama-7b
|
|
```
|
|
|
|
3. Move the `llama-7b` folder inside your `text-generation-webui/models` folder.
|
|
|
|
## Starting the web UI
|
|
|
|
```python
|
|
python server.py --model llama-7b
|
|
```
|