Add llamacpp to models.py

This commit is contained in:
Thomas Antony 2023-03-18 23:42:28 -07:00
parent 7a562481fa
commit 7745faa7bb

View File

@ -42,9 +42,10 @@ def load_model(model_name):
t0 = time.time()
shared.is_RWKV = 'rwkv-' in model_name.lower()
shared.is_llamacpp = model_name.lower().startswith('llamacpp-')
# Default settings
if not any([shared.args.cpu, shared.args.load_in_8bit, shared.args.wbits, shared.args.auto_devices, shared.args.disk, shared.args.gpu_memory is not None, shared.args.cpu_memory is not None, shared.args.deepspeed, shared.args.flexgen, shared.is_RWKV]):
if not any([shared.args.cpu, shared.args.load_in_8bit, shared.args.wbits, shared.args.auto_devices, shared.args.disk, shared.args.gpu_memory is not None, shared.args.cpu_memory is not None, shared.args.deepspeed, shared.args.flexgen, shared.is_RWKV, shared.is_llamacpp]):
if any(size in shared.model_name.lower() for size in ('13b', '20b', '30b')):
model = AutoModelForCausalLM.from_pretrained(Path(f"{shared.args.model_dir}/{shared.model_name}"), device_map='auto', load_in_8bit=True)
else:
@ -100,6 +101,12 @@ def load_model(model_name):
model = load_quantized(model_name)
# LLAMACPP model
elif shared.is_llamacpp:
from modules.llamacpp_model import LlamaCppModel
model, tokenizer = LlamaCppModel.from_pretrained(Path(f'models/{model_name}/ggml-model-q4_0.bin'))
return model, tokenizer
# Custom
else:
params = {"low_cpu_mem_usage": True}