error when launching demo.py
trying to run minigpt-4 demo.py but when i run >python demo.py --cfg-path eval_configs/minigpt4_eval.yaml --gpu-id 0 i get this error
(minigpt4) C:\Users\---\MiniGPT-4>python demo.py --cfg-path eval_configs/minigpt4_eval.yaml --gpu-id 0 Initializing Chat Loading VIT 100%|█████████████████████████████████████████████████████████████████████████████| 1.89G/1.89G [02:10<00:00, 15.5MB/s] Loading VIT Done Loading Q-Former 100%|███████████████████████████████████████████████████████████████████████████████| 413M/413M [00:31<00:00, 13.8MB/s] Loading Q-Former Done Loading LLAMA Traceback (most recent call last): File "C:\Users\----\MiniGPT-4\demo.py", line 60, in <module> model = model_cls.from_config(model_config).to('cuda:{}'.format(args.gpu_id)) File "C:\Users\---\MiniGPT-4\minigpt4\models\mini_gpt4.py", line 243, in from_config model = cls( File "C:\Users\---\MiniGPT-4\minigpt4\models\mini_gpt4.py", line 86, in __init__ self.llama_tokenizer = LlamaTokenizer.from_pretrained(llama_model, use_fast=False) File "D:\Anaconda\envs\minigpt4\lib\site-packages\transformers\tokenization_utils_base.py", line 1770, in from_pretrained resolved_vocab_files[file_id] = cached_file( File "D:\Anaconda\envs\minigpt4\lib\site-packages\transformers\utils\hub.py", line 409, in cached_file resolved_file = hf_hub_download( File "D:\Anaconda\envs\minigpt4\lib\site-packages\huggingface_hub\utils\_validators.py", line 112, in _inner_fn validate_repo_id(arg_value) File "D:\Anaconda\envs\minigpt4\lib\site-packages\huggingface_hub\utils\_validators.py", line 160, in validate_repo_id raise HFValidationError( huggingface_hub.utils._validators.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/path/to/vicuna/weights/'. Use repo_type argument if needed.
Hello! It looks like you don't set the vicuna weight. You can set it following the instruction in Readme. Thanks!
Sorry to bother you, I have encountered the same problem as you and have set up various files according to the process. May I ask if your problem has been resolved now
I did everything listed on the page I think? Maybe I didn't set up the weights...
I don't think I'm even as far as this.
L:\minigpt\MiniGPT-4>python demo.py --cfg-path eval_configs/minigpt4_eval.yaml --gpu-id 0
Traceback (most recent call last):
File "L:\minigpt\MiniGPT-4\demo.py", line 10, in
from minigpt4.common.config import Config
File "L:\minigpt\MiniGPT-4\minigpt4_init_.py", line 11, in
from omegaconf import OmegaConf
ModuleNotFoundError: No module named 'omegaconf'
Do I need to set the path different or something...
我认为我做了页面上列出的所有内容？也许我没有设置重量...
我认为我什至没有这么远。 L：\minigpt\MiniGPT-4>python demo.py --cfg-path eval_configs/minigpt4_eval.yaml --gpu-id 0 回溯（最近最后一次调用）：文件 “L：\minigpt\MiniGPT-4\demo.py”，第 10 行，来自 minigpt4.common.config 导入配置文件“L：\minigpt\MiniGPT-4\minigpt4__init__.py”，第 11 行，来自 omegaconf import OmegaConf ModuleNotFoundError：没有名为“omegaconf”的模块
我需要设置不同的路径吗？
When I met these problems just like "NO Module name...", I just used pip install the module which it needed.
Hmm,
pip install git+https://github.com/lm-sys/[email protected] ?
i think i did that...is there another one I have to do?
Maybe I did it in a different directory. Nope, I ran it in the same directory I'm trying to launch from...just got a lot of "requirements met"....
Oh so you mean pip install omegaconf?
Hmm,
pip install git+https://github.com/lm-sys/[email protected] ?
i think i did that...is there another one I have to do?
emm, I just excute pip install xxx when this kind of bug appeared, It means that add the module. Don't afraid of this, if anything run error, just uninstall them.
Ok I did that...now I'm at. python demo.py --cfg-path eval_configs/minigpt4_eval.yaml --gpu-id 0
Initializing Chat
╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮
│ L:\minigpt\MiniGPT-4\demo.py:55 in │
│ │
│ 52 │
│ 53 print('Initializing Chat') │
│ 54 args = parse_args() │
│ ❱ 55 cfg = Config(args) │
│ 56 │
│ 57 model_config = cfg.model_cfg │
│ 58 model_config.device_8bit = args.gpu_id │
│ │
│ L:\minigpt\MiniGPT-4\minigpt4\common\config.py:30 in init │
│ │
│ 27 │ │ config = OmegaConf.load(self.args.cfg_path) │
│ 28 │ │ │
│ 29 │ │ runner_config = self.build_runner_config(config) │
│ ❱ 30 │ │ model_config = self.build_model_config(config, **user_config) │
│ 31 │ │ dataset_config = self.build_dataset_config(config) │
│ 32 │ │ │
│ 33 │ │ # Validate the user-provided runner configuration │
│ │
│ L:\minigpt\MiniGPT-4\minigpt4\common\config.py:77 in build_model_config │
│ │
│ 74 │ │ # hierarchy override, customized config > default config │
│ 75 │ │ model_config = OmegaConf.merge( │
│ 76 │ │ │ model_config, │
│ ❱ 77 │ │ │ OmegaConf.load(model_config_path), │
│ 78 │ │ │ {"model": config["model"]}, │
│ 79 │ │ ) │
│ 80 │
│ │
│ C:\Users\lrdce\AppData\Local\Programs\Python\Python310\lib\site-packages\omegaconf\omegaconf.py: │
│ 190 in load │
│ │
│ 187 │ │ │
│ 188 │ │ if isinstance(file_, (str, pathlib.Path)): │
│ 189 │ │ │ with io.open(os.path.abspath(file_), "r", encoding="utf-8") as f: │
│ ❱ 190 │ │ │ │ obj = yaml.load(f, Loader=get_yaml_loader()) │
│ 191 │ │ elif getattr(file_, "read", None): │
│ 192 │ │ │ obj = yaml.load(file_, Loader=get_yaml_loader()) │
│ 193 │ │ else: │
│ │
│ C:\Users\lrdce\AppData\Local\Programs\Python\Python310\lib\site-packages\yaml_init_.py:81 in │
│ load │
│ │
│ 78 │ """ │
│ 79 │ loader = Loader(stream) │
│ 80 │ try: │
│ ❱ 81 │ │ return loader.get_single_data() │
│ 82 │ finally: │
│ 83 │ │ loader.dispose() │
│ 84 │
│ │
│ C:\Users\lrdce\AppData\Local\Programs\Python\Python310\lib\site-packages\yaml\constructor.py:49 │
│ in get_single_data │
│ │
│ 46 │ │
│ 47 │ def get_single_data(self): │
│ 48 │ │ # Ensure that the stream contains a single document and construct it. │
│ ❱ 49 │ │ node = self.get_single_node() │
│ 50 │ │ if node is not None: │
│ 51 │ │ │ return self.construct_document(node) │
│ 52 │ │ return None │
│ │
│ C:\Users\lrdce\AppData\Local\Programs\Python\Python310\lib\site-packages\yaml\composer.py:36 in │
│ get_single_node │
│ │
│ 33 │ │ # Compose a document if the stream is not empty. │
│ 34 │ │ document = None │
│ 35 │ │ if not self.check_event(StreamEndEvent): │
│ ❱ 36 │ │ │ document = self.compose_document() │
│ 37 │ │ │
│ 38 │ │ # Ensure that the stream contains no more documents. │
│ 39 │ │ if not self.check_event(StreamEndEvent): │
│ │
│ C:\Users\lrdce\AppData\Local\Programs\Python\Python310\lib\site-packages\yaml\composer.py:55 in │
│ compose_document │
│ │
│ 52 │ │ self.get_event() │
│ 53 │ │ │
│ 54 │ │ # Compose the root node. │
│ ❱ 55 │ │ node = self.compose_node(None, None) │
│ 56 │ │ │
│ 57 │ │ # Drop the DOCUMENT-END event. │
│ 58 │ │ self.get_event() │
│ │
│ C:\Users\lrdce\AppData\Local\Programs\Python\Python310\lib\site-packages\yaml\composer.py:84 in │
│ compose_node │
│ │
│ 81 │ │ elif self.check_event(SequenceStartEvent): │
│ 82 │ │ │ node = self.compose_sequence_node(anchor) │
│ 83 │ │ elif self.check_event(MappingStartEvent): │
│ ❱ 84 │ │ │ node = self.compose_mapping_node(anchor) │
│ 85 │ │ self.ascend_resolver() │
│ 86 │ │ return node │
│ 87 │
│ │
│ C:\Users\lrdce\AppData\Local\Programs\Python\Python310\lib\site-packages\yaml\composer.py:133 in │
│ compose_mapping_node │
│ │
│ 130 │ │ │ #if item_key in node.value: │
│ 131 │ │ │ # raise ComposerError("while composing a mapping", start_event.start_mark │
│ 132 │ │ │ # "found duplicate key", key_event.start_mark) │
│ ❱ 133 │ │ │ item_value = self.compose_node(node, item_key) │
│ 134 │ │ │ #node.value[item_key] = item_value │
│ 135 │ │ │ node.value.append((item_key, item_value)) │
│ 136 │ │ end_event = self.get_event() │
│ │
│ C:\Users\lrdce\AppData\Local\Programs\Python\Python310\lib\site-packages\yaml\composer.py:84 in │
│ compose_node │
│ │
│ 81 │ │ elif self.check_event(SequenceStartEvent): │
│ 82 │ │ │ node = self.compose_sequence_node(anchor) │
│ 83 │ │ elif self.check_event(MappingStartEvent): │
│ ❱ 84 │ │ │ node = self.compose_mapping_node(anchor) │
│ 85 │ │ self.ascend_resolver() │
│ 86 │ │ return node │
│ 87 │
│ │
│ C:\Users\lrdce\AppData\Local\Programs\Python\Python310\lib\site-packages\yaml\composer.py:133 in │
│ compose_mapping_node │
│ │
│ 130 │ │ │ #if item_key in node.value: │
│ 131 │ │ │ # raise ComposerError("while composing a mapping", start_event.start_mark │
│ 132 │ │ │ # "found duplicate key", key_event.start_mark) │
│ ❱ 133 │ │ │ item_value = self.compose_node(node, item_key) │
│ 134 │ │ │ #node.value[item_key] = item_value │
│ 135 │ │ │ node.value.append((item_key, item_value)) │
│ 136 │ │ end_event = self.get_event() │
│ │
│ C:\Users\lrdce\AppData\Local\Programs\Python\Python310\lib\site-packages\yaml\composer.py:64 in │
│ compose_node │
│ │
│ 61 │ │ return node │
│ 62 │ │
│ 63 │ def compose_node(self, parent, index): │
│ ❱ 64 │ │ if self.check_event(AliasEvent): │
│ 65 │ │ │ event = self.get_event() │
│ 66 │ │ │ anchor = event.anchor │
│ 67 │ │ │ if anchor not in self.anchors: │
│ │
│ C:\Users\lrdce\AppData\Local\Programs\Python\Python310\lib\site-packages\yaml\parser.py:98 in │
│ check_event │
│ │
│ 95 │ │ # Check the type of the next event. │
│ 96 │ │ if self.current_event is None: │
│ 97 │ │ │ if self.state: │
│ ❱ 98 │ │ │ │ self.current_event = self.state() │
│ 99 │ │ if self.current_event is not None: │
│ 100 │ │ │ if not choices: │
│ 101 │ │ │ │ return True │
│ │
│ C:\Users\lrdce\AppData\Local\Programs\Python\Python310\lib\site-packages\yaml\parser.py:449 in │
│ parse_block_mapping_value │
│ │
│ 446 │ def parse_block_mapping_value(self): │
│ 447 │ │ if self.check_token(ValueToken): │
│ 448 │ │ │ token = self.get_token() │
│ ❱ 449 │ │ │ if not self.check_token(KeyToken, ValueToken, BlockEndToken): │
│ 450 │ │ │ │ self.states.append(self.parse_block_mapping_key) │
│ 451 │ │ │ │ return self.parse_block_node_or_indentless_sequence() │
│ 452 │ │ │ else: │
│ │
│ C:\Users\lrdce\AppData\Local\Programs\Python\Python310\lib\site-packages\yaml\scanner.py:116 in │
│ check_token │
│ │
│ 113 │ def check_token(self, *choices): │
│ 114 │ │ # Check if the next token is one of the given types. │
│ 115 │ │ while self.need_more_tokens(): │
│ ❱ 116 │ │ │ self.fetch_more_tokens() │
│ 117 │ │ if self.tokens: │
│ 118 │ │ │ if not choices: │
│ 119 │ │ │ │ return True │
│ │
│ C:\Users\lrdce\AppData\Local\Programs\Python\Python310\lib\site-packages\yaml\scanner.py:251 in │
│ fetch_more_tokens │
│ │
│ 248 │ │ │
│ 249 │ │ # Is it a double quoted scalar? │
│ 250 │ │ if ch == '"': │
│ ❱ 251 │ │ │ return self.fetch_double() │
│ 252 │ │ │
│ 253 │ │ # It must be a plain scalar then. │
│ 254 │ │ if self.check_plain(): │
│ │
│ C:\Users\lrdce\AppData\Local\Programs\Python\Python310\lib\site-packages\yaml\scanner.py:655 in │
│ fetch_double │
│ │
│ 652 │ │ self.fetch_flow_scalar(style=''') │
│ 653 │ │
│ 654 │ def fetch_double(self): │
│ ❱ 655 │ │ self.fetch_flow_scalar(style='"') │
│ 656 │ │
│ 657 │ def fetch_flow_scalar(self, style): │
│ 658 │
│ │
│ C:\Users\lrdce\AppData\Local\Programs\Python\Python310\lib\site-packages\yaml\scanner.py:666 in │
│ fetch_flow_scalar │
│ │
│ 663 │ │ self.allow_simple_key = False │
│ 664 │ │ │
│ 665 │ │ # Scan and add SCALAR. │
│ ❱ 666 │ │ self.tokens.append(self.scan_flow_scalar(style)) │
│ 667 │ │
│ 668 │ def fetch_plain(self): │
│ 669 │
│ │
│ C:\Users\lrdce\AppData\Local\Programs\Python\Python310\lib\site-packages\yaml\scanner.py:1149 in │
│ scan_flow_scalar │
│ │
│ 1146 │ │ start_mark = self.get_mark() │
│ 1147 │ │ quote = self.peek() │
│ 1148 │ │ self.forward() │
│ ❱ 1149 │ │ chunks.extend(self.scan_flow_scalar_non_spaces(double, start_mark)) │
│ 1150 │ │ while self.peek() != quote: │
│ 1151 │ │ │ chunks.extend(self.scan_flow_scalar_spaces(double, start_mark)) │
│ 1152 │ │ │ chunks.extend(self.scan_flow_scalar_non_spaces(double, start_mark)) │
│ │
│ C:\Users\lrdce\AppData\Local\Programs\Python\Python310\lib\site-packages\yaml\scanner.py:1223 in │
│ scan_flow_scalar_non_spaces │
│ │
│ 1220 │ │ │ │ │ self.scan_line_break() │
│ 1221 │ │ │ │ │ chunks.extend(self.scan_flow_scalar_breaks(double, start_mark)) │
│ 1222 │ │ │ │ else: │
│ ❱ 1223 │ │ │ │ │ raise ScannerError("while scanning a double-quoted scalar", start_ma │
│ 1224 │ │ │ │ │ │ │ "found unknown escape character %r" % ch, self.get_mark()) │
│ 1225 │ │ │ else: │
│ 1226 │ │ │ │ return chunks │
╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
ScannerError: while scanning a double-quoted scalar
in "L:\minigpt\MiniGPT-4\minigpt4\configs\models\minigpt4.yaml", line 16, column 16
found unknown escape character 'm'
in "L:\minigpt\MiniGPT-4\minigpt4\configs\models\minigpt4.yaml", line 16, column 20
This is the problem I just met, ctrl and click the address into this file, change the address like :L:/minigpt/MiniGPT-4/minigpt4/configs/models/minigpt4.yaml. Anyway, may be this path you should check twice.
I was watching a video that said it won't work on windows...is that true? is that the issue we're facing? It seems like others have gotten it to work though?
What do you mean I should check the path twice? Edit minigpt4.yaml with its own path?
I have it set to the model location..? L:\minigpt\MiniGPT-4\vicuna-13b-delta-v0
I think,,, we can.
I was watching a video that said it won't work on windows...is that true? is that the issue we're facing? It seems like others have gotten it to work though?
I think we can make it work.
Nothing! My fault. this just right.
I think,,, we can.
I was watching a video that said it won't work on windows...is that true? is that the issue we're facing? It seems like others have gotten it to work though?
I think we can make it work. Nothing! My fault. this just right.
if you success, could you please help me solve some problem? In #97
在16行只需要输入vicuna-7b-delta-v1.1即可
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