FAQ
Installation & Environment
Which version of transformers should I use?
4.31.0 is preferred.
I downloaded the codes and checkpoints but I can't load the model locally. What should I do?
Please check if you have updated the code to the latest, and correctly downloaded all the sharded checkpoint files.
qwen.tiktoken is not found. What is it?
This is the merge file of the tokenizer. You have to download it. Note that if you just git clone the repo without git-lfs, you cannot download this file.
transformers_stream_generator/tiktoken/accelerate not found
Run the command pip install -r requirements.txt. You can find the file at https://github.com/QwenLM/Qwen-VL/blob/main/requirements.txt.
Demo & Inference
Is there any demo?
Yes, see web_demo_mm.py for web demo. See README for more information.
Can Qwen-VL support streaming?
No. We do not support streaming yet.
It seems that the generation is not related to the instruction...
Please check if you are loading Qwen-VL-Chat instead of Qwen-VL. Qwen-VL is the base model without alignment, which behaves differently from the SFT/Chat model.
Is quantization supported?
No. We would support quantization asap.
Unsatisfactory performance in processing long sequences
Please ensure that NTK is applied. use_dynamc_ntk and use_logn_attn in config.json should be set to true (true by default).
Tokenizer
bos_id/eos_id/pad_id not found
In our training, we only use <|endoftext|> as the separator and padding token. You can set bos_id, eos_id, and pad_id to tokenizer.eod_id. Learn more about our tokenizer from our documents about the tokenizer.