Adopting chat template stuff from llama.cpp

include/llama.h

@@ -1046,6 +1046,8 @@ extern "C" {
                                   bool   add_ass,
                                   char * buf,
                                int32_t   length);
+    // Get list of built-in chat templates
+    LLAMA_API int32_t llama_chat_builtin_templates(const char ** output, size_t len);
 
     //
     // Grammar

src/llama.cpp

@@ -1364,6 +1364,76 @@ static const std::map<llm_arch, std::map<llm_tensor, std::string>> LLM_TENSOR_NA
     },
 };
 
+enum llm_chat_template {
+    LLM_CHAT_TEMPLATE_CHATML,
+    LLM_CHAT_TEMPLATE_LLAMA_2,
+    LLM_CHAT_TEMPLATE_LLAMA_2_SYS,
+    LLM_CHAT_TEMPLATE_LLAMA_2_SYS_BOS,
+    LLM_CHAT_TEMPLATE_LLAMA_2_SYS_STRIP,
+    LLM_CHAT_TEMPLATE_MISTRAL_V1,
+    LLM_CHAT_TEMPLATE_MISTRAL_V3,
+    LLM_CHAT_TEMPLATE_MISTRAL_V3_TEKKEN,
+    LLM_CHAT_TEMPLATE_MISTRAL_V7,
+    LLM_CHAT_TEMPLATE_PHI_3,
+    LLM_CHAT_TEMPLATE_FALCON_3,
+    LLM_CHAT_TEMPLATE_ZEPHYR,
+    LLM_CHAT_TEMPLATE_MONARCH,
+    LLM_CHAT_TEMPLATE_GEMMA,
+    LLM_CHAT_TEMPLATE_ORION,
+    LLM_CHAT_TEMPLATE_OPENCHAT,
+    LLM_CHAT_TEMPLATE_VICUNA,
+    LLM_CHAT_TEMPLATE_VICUNA_ORCA,
+    LLM_CHAT_TEMPLATE_DEEPSEEK,
+    LLM_CHAT_TEMPLATE_DEEPSEEK_2,
+    LLM_CHAT_TEMPLATE_DEEPSEEK_3,
+    LLM_CHAT_TEMPLATE_COMMAND_R,
+    LLM_CHAT_TEMPLATE_LLAMA_3,
+    LLM_CHAT_TEMPLATE_CHATGML_3,
+    LLM_CHAT_TEMPLATE_CHATGML_4,
+    LLM_CHAT_TEMPLATE_MINICPM,
+    LLM_CHAT_TEMPLATE_EXAONE_3,
+    LLM_CHAT_TEMPLATE_RWKV_WORLD,
+    LLM_CHAT_TEMPLATE_GRANITE,
+    LLM_CHAT_TEMPLATE_GIGACHAT,
+    LLM_CHAT_TEMPLATE_MEGREZ,
+    LLM_CHAT_TEMPLATE_UNKNOWN,
+};
+
+static const std::map<std::string, llm_chat_template> LLM_CHAT_TEMPLATES = {
+    { "chatml",            LLM_CHAT_TEMPLATE_CHATML            },
+    { "llama2",            LLM_CHAT_TEMPLATE_LLAMA_2           },
+    { "llama2-sys",        LLM_CHAT_TEMPLATE_LLAMA_2_SYS       },
+    { "llama2-sys-bos",    LLM_CHAT_TEMPLATE_LLAMA_2_SYS_BOS   },
+    { "llama2-sys-strip",  LLM_CHAT_TEMPLATE_LLAMA_2_SYS_STRIP },
+    { "mistral-v1",        LLM_CHAT_TEMPLATE_MISTRAL_V1        },
+    { "mistral-v3",        LLM_CHAT_TEMPLATE_MISTRAL_V3        },
+    { "mistral-v3-tekken", LLM_CHAT_TEMPLATE_MISTRAL_V3_TEKKEN },
+    { "mistral-v7",        LLM_CHAT_TEMPLATE_MISTRAL_V7        },
+    { "phi3",              LLM_CHAT_TEMPLATE_PHI_3             },
+    { "falcon3",           LLM_CHAT_TEMPLATE_FALCON_3          },
+    { "zephyr",            LLM_CHAT_TEMPLATE_ZEPHYR            },
+    { "monarch",           LLM_CHAT_TEMPLATE_MONARCH           },
+    { "gemma",             LLM_CHAT_TEMPLATE_GEMMA             },
+    { "orion",             LLM_CHAT_TEMPLATE_ORION             },
+    { "openchat",          LLM_CHAT_TEMPLATE_OPENCHAT          },
+    { "vicuna",            LLM_CHAT_TEMPLATE_VICUNA            },
+    { "vicuna-orca",       LLM_CHAT_TEMPLATE_VICUNA_ORCA       },
+    { "deepseek",          LLM_CHAT_TEMPLATE_DEEPSEEK          },
+    { "deepseek2",         LLM_CHAT_TEMPLATE_DEEPSEEK_2        },
+    { "deepseek3",         LLM_CHAT_TEMPLATE_DEEPSEEK_3        },
+    { "command-r",         LLM_CHAT_TEMPLATE_COMMAND_R         },
+    { "llama3",            LLM_CHAT_TEMPLATE_LLAMA_3           },
+    { "chatglm3",          LLM_CHAT_TEMPLATE_CHATGML_3         },
+    { "chatglm4",          LLM_CHAT_TEMPLATE_CHATGML_4         },
+    { "minicpm",           LLM_CHAT_TEMPLATE_MINICPM           },
+    { "exaone3",           LLM_CHAT_TEMPLATE_EXAONE_3          },
+    { "rwkv-world",        LLM_CHAT_TEMPLATE_RWKV_WORLD        },
+    { "granite",           LLM_CHAT_TEMPLATE_GRANITE           },
+    { "gigachat",          LLM_CHAT_TEMPLATE_GIGACHAT          },
+    { "megrez",            LLM_CHAT_TEMPLATE_MEGREZ            },
+};
+
+
 static llm_arch llm_arch_from_string(const std::string & name) {
     for (const auto & kv : LLM_ARCH_NAMES) { // NOLINT
         if (kv.second == name) {
@@ -19568,18 +19638,116 @@ int32_t llama_detokenize(
 // chat templates
 //
 
-// Simple version of "llama_apply_chat_template" that only works with strings
+static llm_chat_template llama_chat_detect_template(const std::string & tmpl) {
-// This function uses heuristic checks to determine commonly used template. It is not a jinja parser.
+    if (auto it = LLM_CHAT_TEMPLATES.find(tmpl); it != LLM_CHAT_TEMPLATES.end()) {
+        return it->second;
+    }
+    auto tmpl_contains = [&tmpl](const char * haystack) -> bool {
+        return tmpl.find(haystack) != std::string::npos;
+    };
+    if (tmpl_contains("<|im_start|>")) {
+        return LLM_CHAT_TEMPLATE_CHATML;
+    } else if (tmpl.find("mistral") == 0 || tmpl_contains("[INST]")) {
+        if (tmpl_contains("[SYSTEM_PROMPT]")) {
+            return LLM_CHAT_TEMPLATE_MISTRAL_V7;
+        } else if (
+            // catches official 'v1' template
+            tmpl_contains("' [INST] ' + system_message")
+            // catches official 'v3' and 'v3-tekken' templates
+            || tmpl_contains("[AVAILABLE_TOOLS]")
+        ) {
+            // Official mistral 'v1', 'v3' and 'v3-tekken' templates
+            // See: https://github.com/mistralai/cookbook/blob/main/concept-deep-dive/tokenization/chat_templates.md
+            // See: https://github.com/mistralai/cookbook/blob/main/concept-deep-dive/tokenization/templates.md
+            if (tmpl_contains(" [INST]")) {
+                return LLM_CHAT_TEMPLATE_MISTRAL_V1;
+            } else if (tmpl_contains("\"[INST]\"")) {
+                return LLM_CHAT_TEMPLATE_MISTRAL_V3_TEKKEN;
+            }
+            return LLM_CHAT_TEMPLATE_MISTRAL_V3;
+        } else {
+            // llama2 template and its variants
+            // [variant] support system message
+            // See: https://huggingface.co/blog/llama2#how-to-prompt-llama-2
+            bool support_system_message = tmpl_contains("<<SYS>>");
+            bool add_bos_inside_history = tmpl_contains("bos_token + '[INST]");
+            bool strip_message = tmpl_contains("content.strip()");
+            if (strip_message) {
+                return LLM_CHAT_TEMPLATE_LLAMA_2_SYS_STRIP;
+            } else if (add_bos_inside_history) {
+                return LLM_CHAT_TEMPLATE_LLAMA_2_SYS_BOS;
+            } else if (support_system_message) {
+                return LLM_CHAT_TEMPLATE_LLAMA_2_SYS;
+            } else {
+                return LLM_CHAT_TEMPLATE_LLAMA_2;
+            }
+        }
+    } else if (tmpl_contains("<|assistant|>") && tmpl_contains("<|end|>")) {
+        return LLM_CHAT_TEMPLATE_PHI_3;
+    } else if (tmpl_contains("<|assistant|>") && tmpl_contains("<|user|>")) {
+        return LLM_CHAT_TEMPLATE_FALCON_3;
+    } else if (tmpl_contains("<|user|>") && tmpl_contains("<|endoftext|>")) {
+        return LLM_CHAT_TEMPLATE_ZEPHYR;
+    } else if (tmpl_contains("bos_token + message['role']")) {
+        return LLM_CHAT_TEMPLATE_MONARCH;
+    } else if (tmpl_contains("<start_of_turn>")) {
+        return LLM_CHAT_TEMPLATE_GEMMA;
+    } else if (tmpl_contains("'\\n\\nAssistant: ' + eos_token")) {
+        // OrionStarAI/Orion-14B-Chat
+        return LLM_CHAT_TEMPLATE_ORION;
+    } else if (tmpl_contains("GPT4 Correct ")) {
+        // openchat/openchat-3.5-0106
+        return LLM_CHAT_TEMPLATE_OPENCHAT;
+    } else if (tmpl_contains("USER: ") && tmpl_contains("ASSISTANT: ")) {
+        // eachadea/vicuna-13b-1.1 (and Orca variant)
+        if (tmpl_contains("SYSTEM: ")) {
+            return LLM_CHAT_TEMPLATE_VICUNA_ORCA;
+        }
+        return LLM_CHAT_TEMPLATE_VICUNA;
+    } else if (tmpl_contains("### Instruction:") && tmpl_contains("<|EOT|>")) {
+        // deepseek-ai/deepseek-coder-33b-instruct
+        return LLM_CHAT_TEMPLATE_DEEPSEEK;
+    } else if (tmpl_contains("<|START_OF_TURN_TOKEN|>") && tmpl_contains("<|USER_TOKEN|>")) {
+        // CohereForAI/c4ai-command-r-plus
+        return LLM_CHAT_TEMPLATE_COMMAND_R;
+    } else if (tmpl_contains("<|start_header_id|>") && tmpl_contains("<|end_header_id|>")) {
+        return LLM_CHAT_TEMPLATE_LLAMA_3;
+    } else if (tmpl_contains("[gMASK]sop")) {
+        // chatglm3-6b
+        return LLM_CHAT_TEMPLATE_CHATGML_3;
+    } else if (tmpl_contains("[gMASK]<sop>")) {
+        return LLM_CHAT_TEMPLATE_CHATGML_4;
+    } else if (tmpl_contains(LU8("<用户>"))) {
+        // MiniCPM-3B-OpenHermes-2.5-v2-GGUF
+        return LLM_CHAT_TEMPLATE_MINICPM;
+    } else if (tmpl_contains("'Assistant: ' + message['content'] + eos_token")) {
+        return LLM_CHAT_TEMPLATE_DEEPSEEK_2;
+    } else if (tmpl_contains(LU8("<｜Assistant｜>")) && tmpl_contains(LU8("<｜User｜>")) && tmpl_contains(LU8("<｜end▁of▁sentence｜>"))) {
+         // original: if (tmpl_contains(LU8("'<｜Assistant｜>' + message['content'] + '<｜end▁of▁sentence｜>'"))) {
+        return LLM_CHAT_TEMPLATE_DEEPSEEK_3;
+    } else if (tmpl_contains("[|system|]") && tmpl_contains("[|assistant|]") && tmpl_contains("[|endofturn|]")) {
+        // ref: https://huggingface.co/LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct/discussions/8#66bae61b1893d14ee8ed85bb
+        // EXAONE-3.0-7.8B-Instruct
+        return LLM_CHAT_TEMPLATE_EXAONE_3;
+    } else if (tmpl_contains("rwkv-world")) {
+        return LLM_CHAT_TEMPLATE_RWKV_WORLD;
+    } else if (tmpl_contains("<|start_of_role|>")) {
+        return LLM_CHAT_TEMPLATE_GRANITE;
+    } else if (tmpl_contains("message['role'] + additional_special_tokens[0] + message['content'] + additional_special_tokens[1]")) {
+        return LLM_CHAT_TEMPLATE_GIGACHAT;
+    } else if (tmpl_contains("<|role_start|>")) {
+        return LLM_CHAT_TEMPLATE_MEGREZ;
+    }
+    return LLM_CHAT_TEMPLATE_UNKNOWN;
+}
+
 static int32_t llama_chat_apply_template_internal(
-    const std::string & tmpl,
+    const llm_chat_template tmpl,
     const std::vector<const llama_chat_message *> & chat,
     std::string & dest, bool add_ass) {
     // Taken from the research: https://github.com/ggerganov/llama.cpp/issues/5527
     std::stringstream ss;
-    auto tmpl_contains = [&tmpl](std::string haystack) -> bool {
+    if (tmpl == LLM_CHAT_TEMPLATE_CHATML) {
-        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";
@@ -19587,16 +19755,59 @@ static int32_t llama_chat_apply_template_internal(
         if (add_ass) {
             ss << "<|im_start|>assistant\n";
         }
-    } else if (tmpl == "llama2" || tmpl == "mistral" || tmpl_contains("[INST]")) {
+    } else if (tmpl == LLM_CHAT_TEMPLATE_MISTRAL_V7) {
+        // Official mistral 'v7' template
+        // See: https://huggingface.co/mistralai/Mistral-Large-Instruct-2411#basic-instruct-template-v7
+        for (auto message : chat) {
+            std::string role(message->role);
+            std::string content(message->content);
+            if (role == "system") {
+                ss << "[SYSTEM_PROMPT] " << content << "[/SYSTEM_PROMPT]";
+            } else if (role == "user") {
+                ss << "[INST] " << content << "[/INST]";
+            }
+            else {
+                ss << " " << content << "</s>";
+            }
+        }
+    } else if (tmpl == LLM_CHAT_TEMPLATE_MISTRAL_V1
+            || tmpl == LLM_CHAT_TEMPLATE_MISTRAL_V3
+            || tmpl == LLM_CHAT_TEMPLATE_MISTRAL_V3_TEKKEN) {
+        // See: https://github.com/mistralai/cookbook/blob/main/concept-deep-dive/tokenization/chat_templates.md
+        // See: https://github.com/mistralai/cookbook/blob/main/concept-deep-dive/tokenization/templates.md
+        std::string leading_space = tmpl == LLM_CHAT_TEMPLATE_MISTRAL_V1 ? " " : "";
+        std::string trailing_space = tmpl == LLM_CHAT_TEMPLATE_MISTRAL_V3_TEKKEN ? "" : " ";
+        bool trim_assistant_message = tmpl == LLM_CHAT_TEMPLATE_MISTRAL_V3;
+        bool is_inside_turn = false;
+        for (auto message : chat) {
+            if (!is_inside_turn) {
+                ss << leading_space << "[INST]" << trailing_space;
+                is_inside_turn = true;
+            }
+            std::string role(message->role);
+            std::string content(message->content);
+            if (role == "system") {
+                ss << content << "\n\n";
+            } else if (role == "user") {
+                ss << content << leading_space << "[/INST]";
+            } else {
+                ss << trailing_space << (trim_assistant_message ? trim(content) : content) << "</s>";
+                is_inside_turn = false;
+            }
+        }
+    } else if (
+            tmpl == LLM_CHAT_TEMPLATE_LLAMA_2
+            || tmpl == LLM_CHAT_TEMPLATE_LLAMA_2_SYS
+            || tmpl == LLM_CHAT_TEMPLATE_LLAMA_2_SYS_BOS
+            || tmpl == LLM_CHAT_TEMPLATE_LLAMA_2_SYS_STRIP) {
         // llama2 template and its variants
         // [variant] support system message
-        bool support_system_message = tmpl_contains("<<SYS>>") || tmpl == "mistral";
+        // See: https://huggingface.co/blog/llama2#how-to-prompt-llama-2
-        // [variant] space before + after response
+        bool support_system_message = tmpl != LLM_CHAT_TEMPLATE_LLAMA_2;
-        bool space_around_response = tmpl_contains("' ' + eos_token");
         // [variant] add BOS inside history
-        bool add_bos_inside_history = tmpl_contains("bos_token + '[INST]");
+        bool add_bos_inside_history = tmpl == LLM_CHAT_TEMPLATE_LLAMA_2_SYS_BOS;
         // [variant] trim spaces from the input message
-        bool strip_message = tmpl_contains("content.strip()");
+        bool strip_message = tmpl == LLM_CHAT_TEMPLATE_LLAMA_2_SYS_STRIP;
         // construct the prompt
         bool is_inside_turn = true; // skip BOS at the beginning
         ss << "[INST] ";
@@ -19617,12 +19828,11 @@ static int32_t llama_chat_apply_template_internal(
             } else if (role == "user") {
                 ss << content << " [/INST]";
             } else {
-                ss << (space_around_response ? " " : "") << content << (space_around_response ? " " : "") << "</s>";
+                ss << content << "</s>";
                 is_inside_turn = false;
             }
         }
-        // llama2 templates seem to not care about "add_generation_prompt"
+    } else if (tmpl == LLM_CHAT_TEMPLATE_PHI_3) {
-    } else if (tmpl == "phi3" || (tmpl_contains("<|assistant|>") && tmpl_contains("<|end|>"))) {
         // Phi 3
         for (auto message : chat) {
             std::string role(message->role);
@@ -19631,7 +19841,16 @@ static int32_t llama_chat_apply_template_internal(
         if (add_ass) {
             ss << "<|assistant|>\n";
         }
-    } else if (tmpl == "zephyr" || tmpl_contains("<|user|>")) {
+    } else if (tmpl == LLM_CHAT_TEMPLATE_FALCON_3) {
+        // Falcon 3
+        for (auto message : chat) {
+            std::string role(message->role);
+            ss << "<|" << role << "|>\n" << message->content << "\n";
+        }
+        if (add_ass) {
+            ss << "<|assistant|>\n";
+        }
+    } else if (tmpl == LLM_CHAT_TEMPLATE_ZEPHYR) {
         // zephyr template
         for (auto message : chat) {
             ss << "<|" << message->role << "|>" << "\n" << message->content << "<|endoftext|>\n";
@@ -19639,7 +19858,7 @@ static int32_t llama_chat_apply_template_internal(
         if (add_ass) {
             ss << "<|assistant|>\n";
         }
-    } else if (tmpl == "monarch" || tmpl_contains("bos_token + message['role']")) {
+    } else if (tmpl == LLM_CHAT_TEMPLATE_MONARCH) {
         // 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
@@ -19648,7 +19867,7 @@ static int32_t llama_chat_apply_template_internal(
         if (add_ass) {
             ss << "<s>assistant\n";
         }
-    } else if (tmpl == "gemma" || tmpl == "gemma2" || tmpl_contains("<start_of_turn>")) {
+    } else if (tmpl == LLM_CHAT_TEMPLATE_GEMMA) {
         // google/gemma-7b-it
         std::string system_prompt = "";
         for (auto message : chat) {
@@ -19670,7 +19889,7 @@ static int32_t llama_chat_apply_template_internal(
         if (add_ass) {
             ss << "<start_of_turn>model\n";
         }
-    } else if (tmpl == "orion" || tmpl_contains("'\\n\\nAssistant: ' + eos_token")) {
+    } else if (tmpl == LLM_CHAT_TEMPLATE_ORION) {
         // OrionStarAI/Orion-14B-Chat
         std::string system_prompt = "";
         for (auto message : chat) {
@@ -19690,7 +19909,7 @@ static int32_t llama_chat_apply_template_internal(
                 ss << message->content << "</s>";
             }
         }
-    } else if (tmpl == "openchat" || tmpl_contains("GPT4 Correct ")) {
+    } else if (tmpl == LLM_CHAT_TEMPLATE_OPENCHAT) {
         // openchat/openchat-3.5-0106,
         for (auto message : chat) {
             std::string role(message->role);
@@ -19704,13 +19923,13 @@ static int32_t llama_chat_apply_template_internal(
         if (add_ass) {
             ss << "GPT4 Correct Assistant:";
         }
-    } else if (tmpl == "vicuna" || tmpl == "vicuna-orca" || (tmpl_contains("USER: ") && tmpl_contains("ASSISTANT: "))) {
+    } else if (tmpl == LLM_CHAT_TEMPLATE_VICUNA || tmpl == LLM_CHAT_TEMPLATE_VICUNA_ORCA) {
         // 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_contains("SYSTEM: ")) {
+                if (tmpl == LLM_CHAT_TEMPLATE_VICUNA_ORCA) {
                     ss << "SYSTEM: " << message->content << "\n";
                 } else {
                     ss << message->content << "\n\n";
@@ -19724,7 +19943,7 @@ static int32_t llama_chat_apply_template_internal(
         if (add_ass) {
             ss << "ASSISTANT:";
         }
-    } else if (tmpl == "deepseek" || (tmpl_contains("### Instruction:") && tmpl_contains("<|EOT|>"))) {
+    } else if (tmpl == LLM_CHAT_TEMPLATE_DEEPSEEK) {
         // deepseek-ai/deepseek-coder-33b-instruct
         for (auto message : chat) {
             std::string role(message->role);
@@ -19739,7 +19958,7 @@ static int32_t llama_chat_apply_template_internal(
         if (add_ass) {
             ss << "### Response:\n";
         }
-    } else if (tmpl == "command-r" || (tmpl_contains("<|START_OF_TURN_TOKEN|>") && tmpl_contains("<|USER_TOKEN|>"))) {
+    } else if (tmpl == LLM_CHAT_TEMPLATE_COMMAND_R) {
         // CohereForAI/c4ai-command-r-plus
         for (auto message : chat) {
             std::string role(message->role);
@@ -19754,7 +19973,7 @@ static int32_t llama_chat_apply_template_internal(
         if (add_ass) {
             ss << "<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>";
         }
-    } else if (tmpl == "llama3" || (tmpl_contains("<|start_header_id|>") && tmpl_contains("<|end_header_id|>"))) {
+    } else if (tmpl == LLM_CHAT_TEMPLATE_LLAMA_3) {
         // Llama 3
         for (auto message : chat) {
             std::string role(message->role);
@@ -19763,7 +19982,7 @@ static int32_t llama_chat_apply_template_internal(
         if (add_ass) {
             ss << "<|start_header_id|>assistant<|end_header_id|>\n\n";
         }
-    } else if (tmpl == "chatglm3" || tmpl_contains("[gMASK]sop")) {
+    } else if (tmpl == LLM_CHAT_TEMPLATE_CHATGML_3) {
         // chatglm3-6b
         ss << "[gMASK]" << "sop";
         for (auto message : chat) {
@@ -19773,7 +19992,7 @@ static int32_t llama_chat_apply_template_internal(
         if (add_ass) {
             ss << "<|assistant|>";
         }
-    } else if (tmpl == "chatglm4" || tmpl_contains("[gMASK]<sop>")) {
+    } else if (tmpl == LLM_CHAT_TEMPLATE_CHATGML_4) {
         ss << "[gMASK]" << "<sop>";
         for (auto message : chat) {
             std::string role(message->role);
@@ -19782,7 +20001,7 @@ static int32_t llama_chat_apply_template_internal(
         if (add_ass) {
             ss << "<|assistant|>";
         }
-    } else if (tmpl == "minicpm" || tmpl_contains(LU8("<用户>"))) {
+    } else if (tmpl == LLM_CHAT_TEMPLATE_MINICPM) {
         // MiniCPM-3B-OpenHermes-2.5-v2-GGUF
         for (auto message : chat) {
             std::string role(message->role);
@@ -19794,7 +20013,7 @@ static int32_t llama_chat_apply_template_internal(
                 ss << trim(message->content);
             }
         }
-    } else if (tmpl == "deepseek2" || tmpl_contains("'Assistant: ' + message['content'] + eos_token")) {
+    } else if (tmpl == LLM_CHAT_TEMPLATE_DEEPSEEK_2) {
         // DeepSeek-V2
         for (auto message : chat) {
             std::string role(message->role);
@@ -19809,7 +20028,7 @@ static int32_t llama_chat_apply_template_internal(
         if (add_ass) {
             ss << "Assistant:";
         }
-    } else if (tmpl == "deepseek3" || tmpl_contains(LU8("'<｜Assistant｜>' + message['content'] + '<｜end▁of▁sentence｜>'"))) {
+    } else if (tmpl == LLM_CHAT_TEMPLATE_DEEPSEEK_3) {
         // DeepSeek-V3
         for (auto message : chat) {
             std::string role(message->role);
@@ -19823,6 +20042,81 @@ static int32_t llama_chat_apply_template_internal(
         }
         if (add_ass) {
             ss << LU8("<｜Assistant｜>");
+    } else if (tmpl == LLM_CHAT_TEMPLATE_EXAONE_3) {
+        // ref: https://huggingface.co/LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct/discussions/8#66bae61b1893d14ee8ed85bb
+        // EXAONE-3.0-7.8B-Instruct
+        for (auto message : chat) {
+            std::string role(message->role);
+            if (role == "system") {
+                ss << "[|system|]" << trim(message->content) << "[|endofturn|]\n";
+            } else if (role == "user") {
+                ss << "[|user|]" << trim(message->content) << "\n";
+            } else if (role == "assistant") {
+                ss << "[|assistant|]" << trim(message->content) << "[|endofturn|]\n";
+            }
+        }
+        if (add_ass) {
+            ss << "[|assistant|]";
+        }
+    } else if (tmpl == LLM_CHAT_TEMPLATE_RWKV_WORLD) {
+        // this template requires the model to have "\n\n" as EOT token
+        for (auto message : chat) {
+            std::string role(message->role);
+            if (role == "user") {
+                ss << "User: " << message->content << "\n\nAssistant:";
+            } else {
+                ss << message->content << "\n\n";
+            }
+        }
+    } else if (tmpl == LLM_CHAT_TEMPLATE_GRANITE) {
+        // IBM Granite template
+        for (const auto & message : chat) {
+            std::string role(message->role);
+            ss << "<|start_of_role|>" << role << "<|end_of_role|>";
+            if (role == "assistant_tool_call") {
+                ss << "<|tool_call|>";
+            }
+            ss << message->content << "<|end_of_text|>\n";
+        }
+        if (add_ass) {
+            ss << "<|start_of_role|>assistant<|end_of_role|>\n";
+        }
+    } else if (tmpl == LLM_CHAT_TEMPLATE_GIGACHAT) {
+        // GigaChat template
+        bool has_system = !chat.empty() && std::string(chat[0]->role) == "system";
+
+        // Handle system message if present
+        if (has_system) {
+            ss << "<s>" << chat[0]->content << "<|message_sep|>";
+        } else {
+            ss << "<s>";
+        }
+
+        // Process remaining messages
+        for (size_t i = has_system ? 1 : 0; i < chat.size(); i++) {
+            std::string role(chat[i]->role);
+            if (role == "user") {
+                ss << "user<|role_sep|>" << chat[i]->content << "<|message_sep|>"
+                << "available functions<|role_sep|>[]<|message_sep|>";
+            } else if (role == "assistant") {
+                ss << "assistant<|role_sep|>" << chat[i]->content << "<|message_sep|>";
+            }
+        }
+
+        // Add generation prompt if needed
+        if (add_ass) {
+            ss << "assistant<|role_sep|>";
+        }
+    }  else if (tmpl == LLM_CHAT_TEMPLATE_MEGREZ) {
+        // Megrez template
+        for (auto message : chat) {
+            std::string role(message->role);
+            ss << "<|role_start|>" << role << "<|role_end|>" << message->content << "<|turn_end|>";
+        }
+
+        if (add_ass) {
+            ss << "<|role_start|>assistant<|role_end|>";
+>>>>>>> c9d1a3eb (Adopting chat template stuff from llama.cpp)
         }
     } else {
         // template not supported
@@ -19843,15 +20137,15 @@ int32_t llama_chat_apply_template(
     std::string curr_tmpl(tmpl == nullptr ? "" : tmpl);
     if (tmpl == nullptr) {
         GGML_ASSERT(model != nullptr);
-        // load template from model
+
-        std::vector<char> model_template(2048, 0); // longest known template is about 1200 bytes
+        // load template from model, if available
-        std::string template_key = "tokenizer.chat_template";
+        const auto & it = model->gguf_kv.find("tokenizer.chat_template");
-        int32_t res = llama_model_meta_val_str(model, template_key.c_str(), model_template.data(), model_template.size());
+        if (it != model->gguf_kv.end() && it->second.size() > 0) {
-        if (res < 0) {
+            curr_tmpl = it->second;
+        }
+        else {
             // worst case: there is no information about template, we will use chatml by default
-            curr_tmpl = "chatml"; // see llama_chat_apply_template_internal
+            curr_tmpl = "chatml";  // see llama_chat_apply_template_internal
-        } else {
-            curr_tmpl = std::string(model_template.data(), model_template.size());
         }
     }
 
@@ -19863,7 +20157,11 @@ int32_t llama_chat_apply_template(
     }
 
     std::string formatted_chat;
-    int32_t res = llama_chat_apply_template_internal(curr_tmpl, chat_vec, formatted_chat, add_ass);
+    llm_chat_template detected_tmpl = llama_chat_detect_template(curr_tmpl);
+    if (detected_tmpl == LLM_CHAT_TEMPLATE_UNKNOWN) {
+        return -1;
+    }
+    int32_t res = llama_chat_apply_template_internal(detected_tmpl, chat_vec, formatted_chat, add_ass);
     if (res < 0) {
         return res;
     }
@@ -19873,6 +20171,14 @@ int32_t llama_chat_apply_template(
     return res;
 }
 
+int32_t llama_chat_builtin_templates(const char ** output, size_t len) {
+    auto it = LLM_CHAT_TEMPLATES.begin();
+    for (size_t i = 0; i < std::min(len, LLM_CHAT_TEMPLATES.size()); i++) {
+        output[i] = it->first.c_str();
+        std::advance(it, 1);
+    }
+    return (int32_t) LLM_CHAT_TEMPLATES.size();
+}
 //
 // grammar
 //