Doesn't look like a character based (Bytes Are All You Need) model

Hi,
I have been following DeepSpeech documentation in order to build my own scorer. After implementing this blocks of code

cd data/lm
python3 generate_lm.py --input_txt vocabulary.txt --output_dir .
–top_k 1500 --kenlm_bins path/to/kenlm/build/bin/
–arpa_order 3 --max_arpa_memory “50%” --arpa_prune “0|0|1”
–binary_a_bits 255 --binary_q_bits 8 --binary_type trie

cd data/lm

Download and extract appropriate native_client package:

curl -LO http://github.com/mozilla/DeepSpeech/releases/
tar xvf native_client.*.tar.xz
./generate_scorer_package --alphabet …/alphabet.txt --lm lm.binary --vocab vocab-1500.txt
–package kenlm.scorer --default_alpha 0.931289039105002 --default_beta 1.1834137581510284

I get the following errors:

Doesn’t look like a character based (Bytes Are All You Need) model.
–force_bytes_output_mode was not specified, using value infered from vocabulary contents: false
Error: Can’t parse scorer file, invalid header. Try updating your scorer file.
Error loading language model file: Invalid magic in trie header.

I want to mention that I use a different alphabet that also contains other characters besides english characters.

Please share console output using proper formatting, right now it’s unreadable and it might hide useful informations.

Please provide output of all commands as well.

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