Update llama.cpp submodule to 5921b8f0
(#4731)
* update llama.cpp submodule to `5921b8f089d3b7bda86aac5a66825df6a6c10603` * add patch
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2 changed files with 22 additions and 25 deletions
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@ -1 +1 @@
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Subproject commit 74f33adf5f8b20b08fc5a6aa17ce081abe86ef2f
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Subproject commit 5921b8f089d3b7bda86aac5a66825df6a6c10603
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@ -1,35 +1,32 @@
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From d02a06f3f45a09255ace8684a66590e06ce44605 Mon Sep 17 00:00:00 2001
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From: Michael Yang <mxyng@pm.me>
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Date: Thu, 23 May 2024 11:33:20 -0700
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Subject: [PATCH] default pretokenizer on unrecognized type
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---
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llama.cpp | 5 +----
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1 file changed, 1 insertion(+), 4 deletions(-)
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diff --git a/llama.cpp b/llama.cpp
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index 15c66077..af1aede3 100644
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index 40d2ec2c..74f3ee9c 100644
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--- a/llama.cpp
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+++ b/llama.cpp
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@@ -4504,9 +4504,6 @@ static void llm_load_vocab(
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LLAMA_LOG_WARN("%s: ************************************ \n", __func__);
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LLAMA_LOG_WARN("%s: \n", __func__);
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vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT;
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- } else if (
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- tokenizer_pre == "default") {
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@@ -4642,16 +4642,7 @@ static void llm_load_vocab(
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// for now, only BPE models have pre-tokenizers
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if (vocab.type == LLAMA_VOCAB_TYPE_BPE) {
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- if (tokenizer_pre.empty()) {
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- LLAMA_LOG_WARN("%s: missing pre-tokenizer type, using: 'default'\n", __func__);
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- LLAMA_LOG_WARN("%s: \n", __func__);
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- LLAMA_LOG_WARN("%s: ************************************ \n", __func__);
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- LLAMA_LOG_WARN("%s: GENERATION QUALITY WILL BE DEGRADED! \n", __func__);
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- LLAMA_LOG_WARN("%s: CONSIDER REGENERATING THE MODEL \n", __func__);
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- LLAMA_LOG_WARN("%s: ************************************ \n", __func__);
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- LLAMA_LOG_WARN("%s: \n", __func__);
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- vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT;
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- } else if (
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+ if (
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tokenizer_pre == "default") {
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vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT;
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} else if (
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tokenizer_pre == "llama3" ||
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tokenizer_pre == "llama-v3" ||
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@@ -4553,7 +4550,7 @@ static void llm_load_vocab(
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tokenizer_pre == "dbrx") {
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vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DBRX;
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@@ -4703,7 +4694,8 @@ static void llm_load_vocab(
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tokenizer_pre == "smaug-bpe") {
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vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_SMAUG;
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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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+ LLAMA_LOG_WARN("%s: missing or unrecognized pre-tokenizer type, using: 'default'\n", __func__);
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+ vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT;
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}
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} else {
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vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT;
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--
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2.45.1
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