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Add CPU offloading support for GPT-NeoX, GPT-J and OPT

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0cc4m
2023-04-02 18:36:31 +02:00
parent e742083703
commit c8d00b7a10
1 changed files with 13 additions and 3 deletions
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16
aiserver.py
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@@ -3144,6 +3144,7 @@ def load_model(use_gpu=True, gpu_layers=None, disk_layers=None, initial_load=Fal
if offload_4bit:
koboldai_vars.lazy_load = False
print("4-bit CPU offloader active")
# If we're using torch_lazy_loader, we need to get breakmodel config
# early so that it knows where to load the individual model tensors
@@ -3176,10 +3177,16 @@ def load_model(use_gpu=True, gpu_layers=None, disk_layers=None, initial_load=Fal
print(f"Trying to load {koboldai_vars.model_type} model in 4-bit")
if koboldai_vars.model_type == "gptj":
model = gptj_load_quant(koboldai_vars.custmodpth, path_4bit, 4, groupsize)
if offload_4bit:
model = load_quant_offload(gptj_load_quant, koboldai_vars.custmodpth, path_4bit, 4, groupsize, gpu_layers_list)
else:
model = gptj_load_quant(koboldai_vars.custmodpth, path_4bit, 4, groupsize)
tokenizer = AutoTokenizer.from_pretrained(koboldai_vars.custmodpth)
elif koboldai_vars.model_type == "gpt_neox":
model = gptneox_load_quant(koboldai_vars.custmodpth, path_4bit, 4, groupsize)
if offload_4bit:
model = load_quant_offload(gptneox_load_quant, koboldai_vars.custmodpth, path_4bit, 4, groupsize, gpu_layers_list)
else:
model = gptneox_load_quant(koboldai_vars.custmodpth, path_4bit, 4, groupsize)
tokenizer = AutoTokenizer.from_pretrained(koboldai_vars.custmodpth)
elif koboldai_vars.model_type == "llama":
if offload_4bit:
@@ -3188,7 +3195,10 @@ def load_model(use_gpu=True, gpu_layers=None, disk_layers=None, initial_load=Fal
model = llama_load_quant(koboldai_vars.custmodpth, path_4bit, 4, groupsize)
tokenizer = LlamaTokenizer.from_pretrained(koboldai_vars.custmodpth)
elif koboldai_vars.model_type == "opt":
model = opt_load_quant(koboldai_vars.custmodpth, path_4bit, 4, groupsize)
if offload_4bit:
model = load_quant_offload(opt_load_quant, koboldai_vars.custmodpth, path_4bit, 4, groupsize, gpu_layers_list)
else:
model = opt_load_quant(koboldai_vars.custmodpth, path_4bit, 4, groupsize)
tokenizer = AutoTokenizer.from_pretrained(koboldai_vars.custmodpth)
else:
raise RuntimeError(f"4-bit load failed. Model type {koboldai_vars.model_type} not supported in 4-bit")