Comments (5)
Most implementations with this model of encoding, decoding, and reverse prompt (myself included) are incorrect
Hm, why, given that official
tokenizers
Python library is used? Or do you mean only theseif
statements likesome_byte_sequence in string
?
implementers forget that sometimes encode(str1) + encode(str2) != encode (str1 + str2)
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usually it means the model has decided you have reached [endoftext]
Haha, da Lao. I think you are right.
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usually it means the model has decided you have reached [endoftext]
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Most implementations with this model of encoding, decoding, and reverse prompt (myself included) are incorrect. Implementations of encoding will become almost correct with World's greedy tokenizer, but decoding and reverse prompt will still be buggy. I hope to document how to do this properly in the future
from rwkv.cpp.
Most implementations with this model of encoding, decoding, and reverse prompt (myself included) are incorrect
Hm, why, given that official tokenizers
Python library is used? Or do you mean only these if
statements like some_byte_sequence in string
?
from rwkv.cpp.
Related Issues (20)
- Tutorial for python script? HOT 1
- Repetitive, meaningless tokens output HOT 3
- it seems does not support the newly RWKV-4-World-CHNtuned-3B-v1-20230625-ctx4096.bin HOT 2
- Can't build with ggml HOT 3
- Support hipBLAS
- Support Metal in apple macOS?
- [QUESTION] Implementing RNN/LSTM with ggml HOT 4
- crash on GGML_ASSERT: 'rwkv.cpp/ggml/src/ggml.c:5316: ggml_can_repeat_rows(b, a)' HOT 1
- Update new GGML for GGML_MAX_NODES limit? HOT 2
- Support RWKV v5 HOT 1
- llama-node is not working in the moment HOT 1
- Fix extras/CMakeList.txt file for static build
- Support build with cublas and hipblas on github action HOT 3
- CMake Error HOT 1
- hipblas cannot build using cmake on windows with rocm5.7.1 HOT 2
- The linked Huging Face page in the README doesn't have any .bin files HOT 1
- Add mac ARM build as part of the build process
- Replace all assertions in Python code with if statements HOT 7
- Support RWKV v6
- Colab notebook to start faster?
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