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修复V100无法运行MiniCPM-V-2_6问题 #403

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修复V100无法运行MiniCPM-V-2_6问题 #403

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11 changes: 7 additions & 4 deletions web_demo_2.6.py
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Original file line number Diff line number Diff line change
Expand Up @@ -33,6 +33,10 @@
device = args.device
assert device in ['cuda', 'mps']


TORCH_TYPE = torch.bfloat16 if torch.cuda.is_available() and torch.cuda.get_device_capability()[
0] >= 8 else torch.float16

# Load model
model_path = 'openbmb/MiniCPM-V-2_6'
if 'int4' in model_path:
Expand All @@ -44,7 +48,7 @@
if args.multi_gpus:
from accelerate import load_checkpoint_and_dispatch, init_empty_weights, infer_auto_device_map
with init_empty_weights():
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, attn_implementation='sdpa', torch_dtype=torch.bfloat16)
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, attn_implementation='sdpa', torch_dtype=TORCH_TYPE)
device_map = infer_auto_device_map(model, max_memory={0: "10GB", 1: "10GB"},
no_split_module_classes=['SiglipVisionTransformer', 'Qwen2DecoderLayer'])
device_id = device_map["llm.model.embed_tokens"]
Expand All @@ -63,9 +67,9 @@
device_map["llm.model.layers.16"] = device_id2
#print(device_map)

model = load_checkpoint_and_dispatch(model, model_path, dtype=torch.bfloat16, device_map=device_map)
model = load_checkpoint_and_dispatch(model, model_path, dtype=TORCH_TYPE, device_map=device_map)
else:
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, torch_dtype=torch.bfloat16)
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, torch_dtype=TORCH_TYPE)
model = model.to(device=device)
tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
model.eval()
Expand Down Expand Up @@ -554,4 +558,3 @@ def select_chat_type(_tab, _app_cfg):

# launch
demo.launch(share=False, debug=True, show_api=False, server_port=8885, server_name="0.0.0.0")