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Re-implement --load-in-4bit and update --llama-bits arg description

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draff 2023-03-10 23:21:01 +00:00
parent 9ba8156a70
commit 804486214b
3 changed files with 10 additions and 4 deletions
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3
README.md
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@ -138,7 +138,8 @@ Optionally, you can use the following command-line flags:
| `--cai-chat` | Launch the web UI in chat mode with a style similar to Character.AI's. If the file `img_bot.png` or `img_bot.jpg` exists in the same folder as server.py, this image will be used as the bot's profile picture. Similarly, `img_me.png` or `img_me.jpg` will be used as your profile picture. | | `--cai-chat` | Launch the web UI in chat mode with a style similar to Character.AI's. If the file `img_bot.png` or `img_bot.jpg` exists in the same folder as server.py, this image will be used as the bot's profile picture. Similarly, `img_me.png` or `img_me.jpg` will be used as your profile picture. |
| `--cpu` | Use the CPU to generate text.| | `--cpu` | Use the CPU to generate text.|
| `--load-in-8bit` | Load the model with 8-bit precision.| | `--load-in-8bit` | Load the model with 8-bit precision.|
| `--llama-bits` | Load LLaMA models with specified precision. 2, 3 and 4 bit are supported, use standard `--load-in-8bit` for 8bit precision. | | `--load-in-4bit` | Load the model with 4-bit precision. Currently only works with LLaMA.|
| `--llama-bits` | Load pre-quantized models with specified precision. 2, 3, 4 and 8bit are supported. Currently only works with LLaMA. |
| `--bf16` | Load the model with bfloat16 precision. Requires NVIDIA Ampere GPU. | | `--bf16` | Load the model with bfloat16 precision. Requires NVIDIA Ampere GPU. |
| `--auto-devices` | Automatically split the model across the available GPU(s) and CPU.| | `--auto-devices` | Automatically split the model across the available GPU(s) and CPU.|
| `--disk` | If the model is too large for your GPU(s) and CPU combined, send the remaining layers to the disk. | | `--disk` | If the model is too large for your GPU(s) and CPU combined, send the remaining layers to the disk. |

8
modules/models.py
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@ -88,9 +88,13 @@ def load_model(model_name):
return model, tokenizer return model, tokenizer
# 4-bit LLaMA # 4-bit LLaMA
elif shared.args.llama_bits>0: elif shared.args.llama_bits>0 or shared.args.load_in_4bit:
sys.path.insert(0, os.path.abspath(Path("repositories/GPTQ-for-LLaMa"))) sys.path.insert(0, os.path.abspath(Path("repositories/GPTQ-for-LLaMa")))
bits = shared.args.llama_bits if shared.args.load_in_4bit:
bits = 4
else:
bits = shared.args.llama_bits
from llama import load_quant from llama import load_quant

3
modules/shared.py
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@ -67,7 +67,8 @@ parser.add_argument('--chat', action='store_true', help='Launch the web UI in ch
parser.add_argument('--cai-chat', action='store_true', help='Launch the web UI in chat mode with a style similar to Character.AI\'s. If the file img_bot.png or img_bot.jpg exists in the same folder as server.py, this image will be used as the bot\'s profile picture. Similarly, img_me.png or img_me.jpg will be used as your profile picture.') parser.add_argument('--cai-chat', action='store_true', help='Launch the web UI in chat mode with a style similar to Character.AI\'s. If the file img_bot.png or img_bot.jpg exists in the same folder as server.py, this image will be used as the bot\'s profile picture. Similarly, img_me.png or img_me.jpg will be used as your profile picture.')
parser.add_argument('--cpu', action='store_true', help='Use the CPU to generate text.') parser.add_argument('--cpu', action='store_true', help='Use the CPU to generate text.')
parser.add_argument('--load-in-8bit', action='store_true', help='Load the model with 8-bit precision.') parser.add_argument('--load-in-8bit', action='store_true', help='Load the model with 8-bit precision.')
parser.add_argument('--llama-bits', type=int, default=0, help='Load LLaMA models with specified precision. 2, 3 and 4 bit are supported, use standard `--load-in-8bit` for 8bit precision.') parser.add_argument('--load-in-4bit', action='store_true', help='Load the model with 4-bit precision. Currently only works with LLaMA.')
parser.add_argument('--llama-bits', type=int, default=0, help='Load pre-quantized models with specified precision. 2, 3, 4 and 8bit are supported. Currently only works with LLaMA.')
parser.add_argument('--bf16', action='store_true', help='Load the model with bfloat16 precision. Requires NVIDIA Ampere GPU.') parser.add_argument('--bf16', action='store_true', help='Load the model with bfloat16 precision. Requires NVIDIA Ampere GPU.')
parser.add_argument('--auto-devices', action='store_true', help='Automatically split the model across the available GPU(s) and CPU.') parser.add_argument('--auto-devices', action='store_true', help='Automatically split the model across the available GPU(s) and CPU.')
parser.add_argument('--disk', action='store_true', help='If the model is too large for your GPU(s) and CPU combined, send the remaining layers to the disk.') parser.add_argument('--disk', action='store_true', help='If the model is too large for your GPU(s) and CPU combined, send the remaining layers to the disk.')