mirror of
https://github.com/ggerganov/whisper.cpp.git
synced 2025-06-15 21:38:07 +00:00
@ -4,6 +4,7 @@
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#include <map>
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#include <sstream>
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#include <algorithm>
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#if __cplusplus >= 202000L
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#define LU8(x) (const char*)(u8##x)
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@ -58,6 +59,10 @@ static const std::map<std::string, llm_chat_template> LLM_CHAT_TEMPLATES = {
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{ "granite", LLM_CHAT_TEMPLATE_GRANITE },
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{ "gigachat", LLM_CHAT_TEMPLATE_GIGACHAT },
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{ "megrez", LLM_CHAT_TEMPLATE_MEGREZ },
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{ "yandex", LLM_CHAT_TEMPLATE_YANDEX },
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{ "bailing", LLM_CHAT_TEMPLATE_BAILING },
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{ "llama4", LLM_CHAT_TEMPLATE_LLAMA4 },
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{ "smolvlm", LLM_CHAT_TEMPLATE_SMOLVLM },
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};
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llm_chat_template llm_chat_template_from_str(const std::string & name) {
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@ -77,7 +82,9 @@ llm_chat_template llm_chat_detect_template(const std::string & tmpl) {
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if (tmpl_contains("<|im_start|>")) {
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return tmpl_contains("<|im_sep|>")
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? LLM_CHAT_TEMPLATE_PHI_4
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: LLM_CHAT_TEMPLATE_CHATML;
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: tmpl_contains("<end_of_utterance>")
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? LLM_CHAT_TEMPLATE_SMOLVLM // SmolVLM uses <|im_start|> as BOS, but it is NOT chatml
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: LLM_CHAT_TEMPLATE_CHATML;
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} else if (tmpl.find("mistral") == 0 || tmpl_contains("[INST]")) {
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if (tmpl_contains("[SYSTEM_PROMPT]")) {
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return LLM_CHAT_TEMPLATE_MISTRAL_V7;
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@ -117,6 +124,8 @@ llm_chat_template llm_chat_detect_template(const std::string & tmpl) {
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return LLM_CHAT_TEMPLATE_PHI_3;
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} else if (tmpl_contains("<|assistant|>") && tmpl_contains("<|user|>")) {
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return tmpl_contains("</s>") ? LLM_CHAT_TEMPLATE_FALCON_3 : LLM_CHAT_TEMPLATE_GLMEDGE;
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} else if (tmpl_contains("<|{{ item['role'] }}|>") && tmpl_contains("<|begin_of_image|>")) {
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return LLM_CHAT_TEMPLATE_GLMEDGE;
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} else if (tmpl_contains("<|user|>") && tmpl_contains("<|endoftext|>")) {
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return LLM_CHAT_TEMPLATE_ZEPHYR;
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} else if (tmpl_contains("bos_token + message['role']")) {
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@ -167,6 +176,12 @@ llm_chat_template llm_chat_detect_template(const std::string & tmpl) {
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return LLM_CHAT_TEMPLATE_GIGACHAT;
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} else if (tmpl_contains("<|role_start|>")) {
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return LLM_CHAT_TEMPLATE_MEGREZ;
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} else if (tmpl_contains(" Ассистент:")) {
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return LLM_CHAT_TEMPLATE_YANDEX;
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} else if (tmpl_contains("<role>ASSISTANT</role>") && tmpl_contains("'HUMAN'")) {
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return LLM_CHAT_TEMPLATE_BAILING;
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} else if (tmpl_contains("<|header_start|>") && tmpl_contains("<|header_end|>")) {
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return LLM_CHAT_TEMPLATE_LLAMA4;
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}
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return LLM_CHAT_TEMPLATE_UNKNOWN;
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}
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@ -566,6 +581,66 @@ int32_t llm_chat_apply_template(
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if (add_ass) {
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ss << "<|role_start|>assistant<|role_end|>";
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}
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} else if (tmpl == LLM_CHAT_TEMPLATE_YANDEX) {
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// Yandex template ("\n\n" is defined as EOT token)
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ss << "<s>";
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for (size_t i = 0; i < chat.size(); i++) {
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std::string role(chat[i]->role);
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if (role == "user") {
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ss << " Пользователь: " << chat[i]->content << "\n\n";
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} else if (role == "assistant") {
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ss << " Ассистент: " << chat[i]->content << "\n\n";
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}
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}
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// Add generation prompt if needed
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if (add_ass) {
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ss << " Ассистент:[SEP]";
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}
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} else if (tmpl == LLM_CHAT_TEMPLATE_BAILING) {
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// Bailing (Ling) template
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for (auto message : chat) {
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std::string role(message->role);
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if (role == "user") {
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role = "HUMAN";
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} else {
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std::transform(role.begin(), role.end(), role.begin(), ::toupper);
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}
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ss << "<role>" << role << "</role>" << message->content;
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}
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if (add_ass) {
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ss << "<role>ASSISTANT</role>";
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}
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} else if (tmpl == LLM_CHAT_TEMPLATE_LLAMA4) {
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// Llama 4
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for (auto message : chat) {
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std::string role(message->role);
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ss << "<|header_start|>" << role << "<|header_end|>\n\n" << trim(message->content) << "<|eot|>";
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}
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if (add_ass) {
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ss << "<|header_start|>assistant<|header_end|>\n\n";
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}
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} else if (tmpl == LLM_CHAT_TEMPLATE_SMOLVLM) {
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// SmolVLM
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ss << "<|im_start|>"; // uses <|im_start|> as BOS, but the actual content is NOT chatml
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for (auto message : chat) {
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std::string role(message->role);
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if (role == "system") {
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ss << message->content << "\n\n";
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} else if (role == "user") {
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ss << "User: " << message->content << "<end_of_utterance>\n";
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} else {
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ss << "Assistant: " << message->content << "<end_of_utterance>\n";
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}
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}
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if (add_ass) {
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ss << "Assistant:";
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}
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} else {
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// template not supported
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return -1;
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@ -584,4 +659,3 @@ int32_t llama_chat_builtin_templates(const char ** output, size_t len) {
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}
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return (int32_t) LLM_CHAT_TEMPLATES.size();
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}
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