root/llama.cpp
1
0
Fork 0
mirror of https://github.com/ggerganov/llama.cpp.git synced 2024-12-24 10:24:35 +00:00
Code Issues Actions 5 Packages Projects Releases Wiki Activity

Add MiniCPM, Deepseek V2 chat template + clean up llama_chat_apply_template_internal (#8172)

Browse Source 
* tmp_contains

* minicpm chat template

* add DeepSeek Lite template

* change deepseek-lite to deepseek2

* correct code comment

* correct code from master branch
This commit is contained in:
Xuan Son Nguyen 2024-06-28 15:11:44 +02:00 committed by GitHub
parent 38373cfbab
commit 26a39bbd6b
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
2 changed files with 56 additions and 18 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

64
src/llama.cpp
View File

@ -19613,7 +19613,10 @@ static int32_t llama_chat_apply_template_internal(
std::string & dest, bool add_ass) {
// Taken from the research: https://github.com/ggerganov/llama.cpp/issues/5527
std::stringstream ss;
if (tmpl == "chatml" || tmpl.find("<|im_start|>") != std::string::npos) {
auto tmpl_contains = [&tmpl](std::string haystack) -> bool {
return tmpl.find(haystack) != std::string::npos;
};
if (tmpl == "chatml" || tmpl_contains("<|im_start|>")) {
// chatml template
for (auto message : chat) {
ss << "<|im_start|>" << message->role << "\n" << message->content << "<|im_end|>\n";
@ -19621,16 +19624,16 @@ static int32_t llama_chat_apply_template_internal(
if (add_ass) {
ss << "<|im_start|>assistant\n";
}
} else if (tmpl == "llama2" || tmpl == "mistral" || tmpl.find("[INST]") != std::string::npos) {
} else if (tmpl == "llama2" || tmpl == "mistral" || tmpl_contains("[INST]")) {
// llama2 template and its variants
// [variant] support system message
bool support_system_message = tmpl.find("<<SYS>>") != std::string::npos || tmpl == "mistral";
bool support_system_message = tmpl_contains("<<SYS>>") || tmpl == "mistral";
// [variant] space before + after response
bool space_around_response = tmpl.find("' ' + eos_token") != std::string::npos;
bool space_around_response = tmpl_contains("' ' + eos_token");
// [variant] add BOS inside history
bool add_bos_inside_history = tmpl.find("bos_token + '[INST]") != std::string::npos;
bool add_bos_inside_history = tmpl_contains("bos_token + '[INST]");
// [variant] trim spaces from the input message
bool strip_message = tmpl.find("content.strip()") != std::string::npos;
bool strip_message = tmpl_contains("content.strip()");
// construct the prompt
bool is_inside_turn = true; // skip BOS at the beginning
ss << "[INST] ";
@ -19656,7 +19659,7 @@ static int32_t llama_chat_apply_template_internal(
}
}
// llama2 templates seem to not care about "add_generation_prompt"
} else if (tmpl == "phi3" || (tmpl.find("<|assistant|>") != std::string::npos && tmpl.find("<|end|>") != std::string::npos)) {
} else if (tmpl == "phi3" || (tmpl_contains("<|assistant|>") && tmpl_contains("<|end|>"))) {
// Phi 3
for (auto message : chat) {
std::string role(message->role);
@ -19665,7 +19668,7 @@ static int32_t llama_chat_apply_template_internal(
if (add_ass) {
ss << "<|assistant|>\n";
}
} else if (tmpl == "zephyr" || tmpl.find("<|user|>") != std::string::npos) {
} else if (tmpl == "zephyr" || tmpl_contains("<|user|>")) {
// zephyr template
for (auto message : chat) {
ss << "<|" << message->role << "|>" << "\n" << message->content << "<|endoftext|>\n";
@ -19673,7 +19676,7 @@ static int32_t llama_chat_apply_template_internal(
if (add_ass) {
ss << "<|assistant|>\n";
}
} else if (tmpl == "monarch" || tmpl.find("bos_token + message['role']") != std::string::npos) {
} else if (tmpl == "monarch" || tmpl_contains("bos_token + message['role']")) {
// mlabonne/AlphaMonarch-7B template (the <s> is included inside history)
for (auto message : chat) {
std::string bos = (message == chat.front()) ? "" : "<s>"; // skip BOS for first message
@ -19682,7 +19685,7 @@ static int32_t llama_chat_apply_template_internal(
if (add_ass) {
ss << "<s>assistant\n";
}
} else if (tmpl == "gemma" || tmpl == "gemma2" || tmpl.find("<start_of_turn>") != std::string::npos) {
} else if (tmpl == "gemma" || tmpl == "gemma2" || tmpl_contains("<start_of_turn>")) {
// google/gemma-7b-it
std::string system_prompt = "";
for (auto message : chat) {
@ -19704,7 +19707,7 @@ static int32_t llama_chat_apply_template_internal(
if (add_ass) {
ss << "<start_of_turn>model\n";
}
} else if (tmpl == "orion" || tmpl.find("'\\n\\nAssistant: ' + eos_token") != std::string::npos) {
} else if (tmpl == "orion" || tmpl_contains("'\\n\\nAssistant: ' + eos_token")) {
// OrionStarAI/Orion-14B-Chat
std::string system_prompt = "";
for (auto message : chat) {
@ -19724,7 +19727,7 @@ static int32_t llama_chat_apply_template_internal(
ss << message->content << "</s>";
}
}
} else if (tmpl == "openchat" || tmpl.find("GPT4 Correct ") != std::string::npos) {
} else if (tmpl == "openchat" || tmpl_contains("GPT4 Correct ")) {
// openchat/openchat-3.5-0106,
for (auto message : chat) {
std::string role(message->role);
@ -19738,13 +19741,13 @@ static int32_t llama_chat_apply_template_internal(
if (add_ass) {
ss << "GPT4 Correct Assistant:";
}
} else if (tmpl == "vicuna" || tmpl == "vicuna-orca" || (tmpl.find("USER: ") != std::string::npos && tmpl.find("ASSISTANT: ") != std::string::npos)) {
} else if (tmpl == "vicuna" || tmpl == "vicuna-orca" || (tmpl_contains("USER: ") && tmpl_contains("ASSISTANT: "))) {
// eachadea/vicuna-13b-1.1 (and Orca variant)
for (auto message : chat) {
std::string role(message->role);
if (role == "system") {
// Orca-Vicuna variant uses a system prefix
if (tmpl == "vicuna-orca" || tmpl.find("SYSTEM: ") != std::string::npos) {
if (tmpl == "vicuna-orca" || tmpl_contains("SYSTEM: ")) {
ss << "SYSTEM: " << message->content << "\n";
} else {
ss << message->content << "\n\n";
@ -19758,7 +19761,7 @@ static int32_t llama_chat_apply_template_internal(
if (add_ass) {
ss << "ASSISTANT:";
}
} else if (tmpl == "deepseek" || (tmpl.find("### Instruction:") != std::string::npos && tmpl.find("<|EOT|>") != std::string::npos)) {
} else if (tmpl == "deepseek" || (tmpl_contains("### Instruction:") && tmpl_contains("<|EOT|>"))) {
// deepseek-ai/deepseek-coder-33b-instruct
for (auto message : chat) {
std::string role(message->role);
@ -19773,7 +19776,7 @@ static int32_t llama_chat_apply_template_internal(
if (add_ass) {
ss << "### Response:\n";
}
} else if (tmpl == "command-r" || (tmpl.find("<|START_OF_TURN_TOKEN|>") != std::string::npos && tmpl.find("<|USER_TOKEN|>") != std::string::npos)) {
} else if (tmpl == "command-r" || (tmpl_contains("<|START_OF_TURN_TOKEN|>") && tmpl_contains("<|USER_TOKEN|>"))) {
// CohereForAI/c4ai-command-r-plus
for (auto message : chat) {
std::string role(message->role);
@ -19788,7 +19791,7 @@ static int32_t llama_chat_apply_template_internal(
if (add_ass) {
ss << "<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>";
}
} else if (tmpl == "llama3" || (tmpl.find("<|start_header_id|>") != std::string::npos && tmpl.find("<|end_header_id|>") != std::string::npos)) {
} else if (tmpl == "llama3" || (tmpl_contains("<|start_header_id|>") && tmpl_contains("<|end_header_id|>"))) {
// Llama 3
for (auto message : chat) {
std::string role(message->role);
@ -19797,6 +19800,33 @@ static int32_t llama_chat_apply_template_internal(
if (add_ass) {
ss << "<|start_header_id|>assistant<|end_header_id|>\n\n";
}
} else if (tmpl == "minicpm" || tmpl_contains(u8"<用户>")) {
// MiniCPM-3B-OpenHermes-2.5-v2-GGUF
for (auto message : chat) {
std::string role(message->role);
if (role == "user") {
ss << u8"<用户>";
ss << trim(message->content);
ss << "<AI>";
} else {
ss << trim(message->content);
}
}
} else if (tmpl == "deepseek2" || tmpl_contains("'Assistant: ' + message['content'] + eos_token")) {
// DeepSeek-V2
for (auto message : chat) {
std::string role(message->role);
if (role == "system") {
ss << message->content << "\n\n";
} else if (role == "user") {
ss << "User: " << message->content << "\n\n";
} else if (role == "assistant") {
ss << "Assistant: " << message->content << u8"<｜end▁of▁sentence｜>";
}
}
if (add_ass) {
ss << "Assistant:";
}
} else {
// template not supported
return -1;

10
tests/test-chat-template.cpp
View File

@ -57,7 +57,11 @@ int main(void) {
//Phi-3-medium
"{% for message in messages %}{% if (message['role'] == 'user') %}{{'<|user|>' + '\n' + message['content'] + '<|end|>' + '\n' + '<|assistant|>' + '\n'}}{% elif (message['role'] == 'assistant') %}{{message['content'] + '<|end|>' + '\n'}}{% endif %}{% endfor %}",
//Phi-3-vision
"{% for message in messages %}{{'<|' + message['role'] + '|>' + '\n' + message['content'] + '<|end|>\n' }}{% endfor %}{% if add_generation_prompt and messages[-1]['role'] != 'assistant' %}{{- '<|assistant|>\n' -}}{% endif %}"
"{% for message in messages %}{{'<|' + message['role'] + '|>' + '\n' + message['content'] + '<|end|>\n' }}{% endfor %}{% if add_generation_prompt and messages[-1]['role'] != 'assistant' %}{{- '<|assistant|>\n' -}}{% endif %}",
// MiniCPM-3B-OpenHermes-2.5-v2-GGUF
u8"{% for message in messages %}{% if message['role'] == 'user' %}{{'<用户>' + message['content'].strip() + '<AI>'}}{% else %}{{message['content'].strip()}}{% endif %}{% endfor %}",
// DeepSeek-V2
"{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{{ bos_token }}{% for message in messages %}{% if message['role'] == 'user' %}{{ 'User: ' + message['content'] + '\n\n' }}{% elif message['role'] == 'assistant' %}{{ 'Assistant: ' + message['content'] + eos_token }}{% elif message['role'] == 'system' %}{{ message['content'] + '\n\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %}",
};
std::vector<std::string> expected_output = {
// teknium/OpenHermes-2.5-Mistral-7B
@ -94,6 +98,10 @@ int main(void) {
"<|system|>\nYou are a helpful assistant<|end|>\n<|user|>\nHello<|end|>\n<|assistant|>\nHi there<|end|>\n<|user|>\nWho are you<|end|>\n<|assistant|>\n I am an assistant <|end|>\n<|user|>\nAnother question<|end|>\n<|assistant|>\n",
//Phi-3-vision
"<|system|>\nYou are a helpful assistant<|end|>\n<|user|>\nHello<|end|>\n<|assistant|>\nHi there<|end|>\n<|user|>\nWho are you<|end|>\n<|assistant|>\n I am an assistant <|end|>\n<|user|>\nAnother question<|end|>\n<|assistant|>\n",
// MiniCPM-3B-OpenHermes-2.5-v2-GGUF
u8"You are a helpful assistant<用户>Hello<AI>Hi there<用户>Who are you<AI>I am an assistant<用户>Another question<AI>",
// DeepSeek-V2
u8"You are a helpful assistant\n\nUser: Hello\n\nAssistant: Hi there<｜end▁of▁sentence｜>User: Who are you\n\nAssistant: I am an assistant <｜end▁of▁sentence｜>User: Another question\n\nAssistant:",
};
std::vector<char> formatted_chat(1024);
int32_t res;