Add Viking-7B tokenizer support
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4 changed files with 14 additions and 3 deletions
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@ -82,6 +82,7 @@ models = [
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{"name": "jina-v2-es", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/jinaai/jina-embeddings-v2-base-es", },
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{"name": "jina-v2-es", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/jinaai/jina-embeddings-v2-base-es", },
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{"name": "jina-v2-de", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/jinaai/jina-embeddings-v2-base-de", },
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{"name": "jina-v2-de", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/jinaai/jina-embeddings-v2-base-de", },
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{"name": "smaug-bpe", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/abacusai/Smaug-Llama-3-70B-Instruct", },
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{"name": "smaug-bpe", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/abacusai/Smaug-Llama-3-70B-Instruct", },
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{"name": "viking", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/LumiOpen/Viking-7B", }, # Same for 13B and 33B
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]
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]
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@ -476,6 +476,9 @@ class Model:
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if chkhsh == "c136ed14d01c2745d4f60a9596ae66800e2b61fa45643e72436041855ad4089d":
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if chkhsh == "c136ed14d01c2745d4f60a9596ae66800e2b61fa45643e72436041855ad4089d":
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# ref: https://huggingface.co/abacusai/Smaug-Llama-3-70B-Instruct
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# ref: https://huggingface.co/abacusai/Smaug-Llama-3-70B-Instruct
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res = "smaug-bpe"
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res = "smaug-bpe"
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if chkhsh == "7fc505bd3104ca1083b150b17d088b59534ede9bde81f0dd2090967d7fe52cee":
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# ref: https://huggingface.co/LumiOpen/Viking-7B
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res = "viking"
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if res is None:
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if res is None:
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logger.warning("\n")
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logger.warning("\n")
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12
llama.cpp
12
llama.cpp
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@ -4549,9 +4549,10 @@ static void llm_load_vocab(
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tokenizer_pre == "default") {
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tokenizer_pre == "default") {
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vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT;
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vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT;
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} else if (
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} else if (
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tokenizer_pre == "llama3" ||
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tokenizer_pre == "llama3" ||
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tokenizer_pre == "llama-v3" ||
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tokenizer_pre == "llama-v3" ||
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tokenizer_pre == "llama-bpe") {
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tokenizer_pre == "llama-bpe" ||
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tokenizer_pre == "viking-7b") {
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vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_LLAMA3;
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vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_LLAMA3;
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} else if (
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} else if (
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tokenizer_pre == "deepseek-llm") {
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tokenizer_pre == "deepseek-llm") {
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@ -12580,6 +12581,11 @@ struct llm_tokenizer_bpe {
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"(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
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"(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
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});
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});
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break;
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break;
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case LLAMA_VOCAB_PRE_TYPE_VIKING:
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word_collection = unicode_regex_split(text, {
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" ?[^(\\s|[.,!?…。,、।۔،])]+",
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});
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break;
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default:
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default:
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// default regex for BPE tokenization pre-processing
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// default regex for BPE tokenization pre-processing
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word_collection = unicode_regex_split(text, {
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word_collection = unicode_regex_split(text, {
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1
llama.h
1
llama.h
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@ -86,6 +86,7 @@ extern "C" {
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LLAMA_VOCAB_PRE_TYPE_OLMO = 12,
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LLAMA_VOCAB_PRE_TYPE_OLMO = 12,
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LLAMA_VOCAB_PRE_TYPE_DBRX = 13,
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LLAMA_VOCAB_PRE_TYPE_DBRX = 13,
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LLAMA_VOCAB_PRE_TYPE_SMAUG = 14,
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LLAMA_VOCAB_PRE_TYPE_SMAUG = 14,
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LLAMA_VOCAB_PRE_TYPE_VIKING = 15,
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};
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};
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// note: these values should be synchronized with ggml_rope
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// note: these values should be synchronized with ggml_rope
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