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This repository has been archived by the owner on Dec 6, 2024. It is now read-only.
root@a:~/qwen/qwen.cpp/qwen_cpp# python3 convert.py -i /root/qwen/Qwen1.5-1.8B -t q4_0 -o qwen1_8b.bin
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
Traceback (most recent call last):
File "/root/qwen/qwen.cpp/qwen_cpp/convert.py", line 262, in
main()
File "/root/qwen/qwen.cpp/qwen_cpp/convert.py", line 256, in main
convert(f, args.model_name_or_path, dtype=args.type)
File "/root/qwen/qwen.cpp/qwen_cpp/convert.py", line 230, in convert
QwenConverter.convert(f, model, tokenizer, ggml_type)
File "/root/qwen/qwen.cpp/qwen_cpp/convert.py", line 182, in convert
cls.dump_config(f, model.config, model.generation_config, tokenizer, ggml_type)
File "/root/qwen/qwen.cpp/qwen_cpp/convert.py", line 198, in dump_config
tokenizer.im_start_id,
AttributeError: 'Qwen2TokenizerFast' object has no attribute 'im_start_id'
The text was updated successfully, but these errors were encountered:
python3 qwen.cpp/qwen_cpp/convert.py -i Qwen1.5-MoE-A2.7B-Chat -o Qwen1.5-MoE-A2.7B-Chat.gguf -t q4_0
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████| 8/8 [00:14<00:00, 1.79s/it]
Traceback (most recent call last):
File "/home/dwojcik/HF-to-GGUF_converter/qwen.cpp/qwen_cpp/convert.py", line 262, in <module>
main()
File "/home/dwojcik/HF-to-GGUF_converter/qwen.cpp/qwen_cpp/convert.py", line 256, in main
convert(f, args.model_name_or_path, dtype=args.type)
File "/home/dwojcik/HF-to-GGUF_converter/qwen.cpp/qwen_cpp/convert.py", line 230, in convert
QwenConverter.convert(f, model, tokenizer, ggml_type)
File "/home/dwojcik/HF-to-GGUF_converter/qwen.cpp/qwen_cpp/convert.py", line 182, in convert
cls.dump_config(f, model.config, model.generation_config, tokenizer, ggml_type)
File "/home/dwojcik/HF-to-GGUF_converter/qwen.cpp/qwen_cpp/convert.py", line 195, in dump_config
config.seq_length,
File "/home/dwojcik/.local/lib/python3.10/site-packages/transformers/configuration_utils.py", line 263, in __getattribute__
return super().__getattribute__(key)
AttributeError: 'Qwen2MoeConfig' object has no attribute 'seq_length'. Did you mean: 'max_length'?
root@a:~/qwen/qwen.cpp/qwen_cpp# python3 convert.py -i /root/qwen/Qwen1.5-1.8B -t q4_0 -o qwen1_8b.bin
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
Traceback (most recent call last):
File "/root/qwen/qwen.cpp/qwen_cpp/convert.py", line 262, in
main()
File "/root/qwen/qwen.cpp/qwen_cpp/convert.py", line 256, in main
convert(f, args.model_name_or_path, dtype=args.type)
File "/root/qwen/qwen.cpp/qwen_cpp/convert.py", line 230, in convert
QwenConverter.convert(f, model, tokenizer, ggml_type)
File "/root/qwen/qwen.cpp/qwen_cpp/convert.py", line 182, in convert
cls.dump_config(f, model.config, model.generation_config, tokenizer, ggml_type)
File "/root/qwen/qwen.cpp/qwen_cpp/convert.py", line 198, in dump_config
tokenizer.im_start_id,
AttributeError: 'Qwen2TokenizerFast' object has no attribute 'im_start_id'
The text was updated successfully, but these errors were encountered: