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command-r : add BPE pre-tokenization (#7063)
* Add BPE pre-tokenization for Command-R/R+. * Bump transformers convert requirement. * command-r : add individual digits regex --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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@ -66,6 +66,7 @@ models = [
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{"name": "starcoder", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/bigcode/starcoder2-3b", },
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{"name": "gpt-2", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/openai-community/gpt2", },
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{"name": "refact", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/smallcloudai/Refact-1_6-base", },
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{"name": "command-r", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/CohereForAI/c4ai-command-r-v01", },
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]
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# make directory "models/tokenizers" if it doesn't exist
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@ -106,6 +107,14 @@ for model in models:
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save_path = f"models/tokenizers/{name}/tokenizer.json"
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download_file_with_auth(url, token, save_path)
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# if downloaded file is less than 1KB, we likely need to download an LFS instead
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if os.path.getsize(save_path) < 1024:
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# remove the file
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os.remove(save_path)
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url = f"{repo}/resolve/main/tokenizer.json"
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save_path = f"models/tokenizers/{name}/tokenizer.json"
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download_file_with_auth(url, token, save_path)
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if tokt == TOKENIZER_TYPE.SPM:
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url = f"{repo}/resolve/main/tokenizer.model"
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save_path = f"models/tokenizers/{name}/tokenizer.model"
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@ -311,6 +311,9 @@ class Model(ABC):
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if chkhsh == "6221ad2852e85ce96f791f476e0b390cf9b474c9e3d1362f53a24a06dc8220ff":
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# ref: https://huggingface.co/smallcloudai/Refact-1_6-base
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res = "refact"
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if chkhsh == "9c2227e4dd922002fb81bde4fc02b0483ca4f12911410dee2255e4987644e3f8":
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# ref: https://huggingface.co/CohereForAI/c4ai-command-r-v01
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res = "command-r"
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if res is None:
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logger.warning("\n")
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@ -4386,6 +4386,9 @@ static void llm_load_vocab(
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} else if (
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tokenizer_pre == "refact") {
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vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_REFACT;
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} else if (
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tokenizer_pre == "command-r") {
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vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_COMMAND_R;
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} else {
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throw std::runtime_error(format("unknown pre-tokenizer type: '%s'", tokenizer_pre.c_str()));
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}
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@ -12238,6 +12241,7 @@ struct llm_tokenizer_bpe {
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break;
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case LLAMA_VOCAB_PRE_TYPE_STARCODER:
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case LLAMA_VOCAB_PRE_TYPE_REFACT:
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case LLAMA_VOCAB_PRE_TYPE_COMMAND_R:
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word_collection = unicode_regex_split(text, {
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"\\p{N}",
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"'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)",
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1
llama.h
1
llama.h
@ -80,6 +80,7 @@ extern "C" {
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LLAMA_VOCAB_PRE_TYPE_STARCODER = 6,
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LLAMA_VOCAB_PRE_TYPE_GPT2 = 7,
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LLAMA_VOCAB_PRE_TYPE_REFACT = 8,
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LLAMA_VOCAB_PRE_TYPE_COMMAND_R = 9,
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};
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// note: these values should be synchronized with ggml_rope
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BIN
models/ggml-vocab-command-r.gguf
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BIN
models/ggml-vocab-command-r.gguf
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models/ggml-vocab-command-r.gguf.inp
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models/ggml-vocab-command-r.gguf.inp
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@ -0,0 +1,106 @@
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ied 4 ½ months
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__ggml_vocab_test__
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Führer
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__ggml_vocab_test__
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__ggml_vocab_test__
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__ggml_vocab_test__
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__ggml_vocab_test__
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__ggml_vocab_test__
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__ggml_vocab_test__
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__ggml_vocab_test__
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__ggml_vocab_test__
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__ggml_vocab_test__
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__ggml_vocab_test__
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Hello world
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__ggml_vocab_test__
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Hello world
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__ggml_vocab_test__
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Hello World
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__ggml_vocab_test__
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Hello World
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__ggml_vocab_test__
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Hello World!
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__ggml_vocab_test__
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Hello, world!
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__ggml_vocab_test__
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Hello, world!
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__ggml_vocab_test__
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this is 🦙.cpp
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__ggml_vocab_test__
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w048 7tuijk dsdfhu
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__ggml_vocab_test__
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нещо на Български
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__ggml_vocab_test__
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កាន់តែពិសេសអាចខលចេញ
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__ggml_vocab_test__
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🚀 (normal) 😶🌫️ (multiple emojis concatenated) ✅ (only emoji that has its own token)
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__ggml_vocab_test__
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Hello
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__ggml_vocab_test__
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Hello
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__ggml_vocab_test__
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Hello
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__ggml_vocab_test__
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Hello
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__ggml_vocab_test__
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Hello
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__ggml_vocab_test__
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Hello
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Hello
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__ggml_vocab_test__
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(
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__ggml_vocab_test__
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=
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__ggml_vocab_test__
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' era
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__ggml_vocab_test__
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Hello, y'all! How are you 😁 ?我想在apple工作1314151天~
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__ggml_vocab_test__
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3
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__ggml_vocab_test__
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33
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__ggml_vocab_test__
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333
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__ggml_vocab_test__
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3333
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__ggml_vocab_test__
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33333
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__ggml_vocab_test__
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333333
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__ggml_vocab_test__
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3333333
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__ggml_vocab_test__
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33333333
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__ggml_vocab_test__
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333333333
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__ggml_vocab_test__
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🚀 (normal) 😶🌫️ (multiple emojis concatenated) ✅ 🦙🦙 3 33 333 3333 33333 333333 3333333 33333333 3.3 3..3 3...3 កាន់តែពិសេសអាច😁 ?我想在apple工作1314151天~ ------======= нещо на Български ''''''```````""""......!!!!!!?????? I've been 'told he's there, 'RE you sure? 'M not sure I'll make it, 'D you like some tea? We'Ve a'lL
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__ggml_vocab_test__
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models/ggml-vocab-command-r.gguf.out
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43
models/ggml-vocab-command-r.gguf.out
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@ -0,0 +1,43 @@
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4929 40071 2196 3236 8750 1764 37097 41168
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38111 230 174833 38111 249 86325 241 38111 245 86325 232 38111 252 38111 123 38111 261 165 24629 38111 261 38111 103 174833 38111 235 38111 231 38111 257 38111 235 165 24629 38111 239
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127731 51628 205 57788 18494 97469 126134 206 2226 256 230 1737 18258 16 80503 122 35927 2226 242 112 57462 1737 54457 223165 106230 2096 16 48389 11254 107 255 2226 107 255 228 26 228 26 26 228 26 26 26 228 26 26 26 26 228 26 26 26 26 26 228 26 26 26 26 26 26 228 26 26 26 26 26 26 26 228 26 26 26 26 26 26 26 26 228 26 21 26 228 26 2271 26 228 26 3834 26 182018 230 174833 38111 249 86325 241 38111 245 86325 232 38111 252 38111 123 38111 261 165 24629 38111 261 38111 103 174833 38111 235 188568 231 5691 12081 13336 2648 29325 14315 24 26 24 27 24 28 24 5123 18372 8391 158343 3512 40071 2196 3236 8750 1764 37097 41168 29721 32797 25646 3802 4975 4975 116167 57178 10251 154048 27292 1767 5125 2632 2155 91 2378 1919 1914 2782 19 2155 3354 1933 5470 38 2155 52 2068 5470 1767 4961 3059 1894 19 2155 43 1933 3026 2725 23186 38 2930 14 20676 1671 14 83 51
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numpy~=1.24.4
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sentencepiece~=0.1.98
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transformers>=4.35.2,<5.0.0
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transformers>=4.40.1,<5.0.0
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gguf>=0.1.0
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protobuf>=4.21.0,<5.0.0
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@ -83,6 +83,7 @@ llama_test(test-tokenizer-0 NAME test-tokenizer-0-bert-bge ARGS ${CMAKE
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llama_test(test-tokenizer-0 NAME test-tokenizer-0-starcoder ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-starcoder.gguf)
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llama_test(test-tokenizer-0 NAME test-tokenizer-0-gpt-2 ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-gpt-2.gguf)
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llama_test(test-tokenizer-0 NAME test-tokenizer-0-refact ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-refact.gguf)
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llama_test(test-tokenizer-0 NAME test-tokenizer-0-command-r ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-command-r.gguf)
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# build test-tokenizer-1-bpe target once and add many tests
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add_executable(test-tokenizer-1-bpe test-tokenizer-1-bpe.cpp)
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