Specify chat template for output model

mergekit/_data/chat_templates/alpaca.jinja

@@ -0,0 +1,29 @@
+{{ (messages|selectattr('role', 'equalto', 'system')|list|last).content|trim if (messages|selectattr('role', 'equalto', 'system')|list) else '' }}
+
+{% for message in messages %}
+{% if message['role'] == 'user' %}
+### Instruction:
+{{ message['content']|trim -}}
+{% if not loop.last %}
+
+
+{% endif %}
+{% elif message['role'] == 'assistant' %}
+### Response:
+{{ message['content']|trim -}}
+{% if not loop.last %}
+
+
+{% endif %}
+{% elif message['role'] == 'user_context' %}
+### Input:
+{{ message['content']|trim -}}
+{% if not loop.last %}
+
+
+{% endif %}
+{% endif %}
+{% endfor %}
+{% if add_generation_prompt and messages[-1]['role'] != 'assistant' %}
+### Response:
+{% endif %}

mergekit/_data/chat_templates/chatml.jinja

@@ -0,0 +1,2 @@
+{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}
+{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}

mergekit/_data/chat_templates/llama3.jinja

@@ -0,0 +1,7 @@
+{% set loop_messages = messages %}
+{% for message in loop_messages %}
+{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}
+{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}
+{{ content }}
+{% endfor %}
+{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}

mergekit/_data/chat_templates/mistral.jinja

@@ -0,0 +1,24 @@
+{%- if messages[0]['role'] == 'system' %}
+    {%- set system_message = messages[0]['content'] %}
+    {%- set loop_messages = messages[1:] %}
+{%- else %}
+    {%- set loop_messages = messages %}
+{%- endif %}
+
+{{- bos_token }}
+{%- for message in loop_messages %}
+    {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}
+        {{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }}
+    {%- endif %}
+    {%- if message['role'] == 'user' %}
+        {%- if loop.first and system_message is defined %}
+            {{- ' [INST] ' + system_message + '\n\n' + message['content'] + ' [/INST]' }}
+        {%- else %}
+            {{- ' [INST] ' + message['content'] + ' [/INST]' }}
+        {%- endif %}
+    {%- elif message['role'] == 'assistant' %}
+        {{- ' ' + message['content'] + eos_token}}
+    {%- else %}
+        {{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }}
+    {%- endif %}
+{%- endfor %}

mergekit/config.py

@@ -93,6 +93,7 @@ class MergeConfiguration(BaseModel):
         Literal["union"], Literal["base"], ModelReference, None
     ] = None
     tokenizer: Optional[TokenizerConfig] = None
+    chat_template: Optional[str] = None
     out_dtype: Optional[str] = None
 
     def referenced_models(self) -> List[ModelReference]:

mergekit/merge.py

@@ -13,14 +13,18 @@
 # You should have received a copy of the GNU Lesser General Public License
 # along with this program. If not, see http://www.gnu.org/licenses/.
 
+import importlib
+import importlib.resources
 import logging
 import os
 import shutil
+from collections import Counter
 from typing import Optional
 
 import tqdm
 import transformers
 
+from mergekit._data import chat_templates
 from mergekit.architecture import ArchitectureInfo, get_architecture_info
 from mergekit.card import generate_card
 from mergekit.config import MergeConfiguration
@@ -116,32 +120,87 @@ def run_merge(
         ) as fp:
             fp.write(config_source)
 
-    if tokenizer is None and options.copy_tokenizer:
-        try:
-            _copy_tokenizer(
-                merge_config, out_path, trust_remote_code=options.trust_remote_code
-            )
-        except Exception as e:
-            logging.error(
-                "Failed to copy tokenizer. The merge was still successful, just copy it from somewhere else.",
-                exc_info=e,
+    if tokenizer is None:
+        if options.copy_tokenizer:
+            try:
+                _copy_tokenizer(
+                    merge_config, out_path, trust_remote_code=options.trust_remote_code
+                )
+            except Exception as e:
+                logging.error(
+                    "Failed to copy tokenizer. The merge was still successful, just copy it from somewhere else.",
+                    exc_info=e,
+                )
+        elif merge_config.chat_template:
+            logging.warning(
+                "Chat template specified but no tokenizer found. Chat template will not be saved."
             )
 
     if tokenizer:
         logging.info("Saving tokenizer")
+        _set_chat_template(tokenizer, merge_config)
         tokenizer.save_pretrained(out_path, safe_serialization=True)
 
 
+def _set_chat_template(
+    tokenizer: transformers.PreTrainedTokenizerBase,
+    merge_config: MergeConfiguration,
+    trust_remote_code: bool = False,
+):
+    chat_template = merge_config.chat_template
+    if not chat_template:
+        return
+
+    if chat_template == "auto":
+        # see if there is a plurality chat template among the input models
+        model_templates = []
+        for model in merge_config.referenced_models():
+            try:
+                tok = transformers.AutoTokenizer.from_pretrained(
+                    model.model.path,
+                    revision=model.model.revision,
+                    trust_remote_code=trust_remote_code,
+                )
+                template = tok.chat_template
+                if isinstance(template, dict):
+                    template = template.get("default", None)
+                if template:
+                    model_templates.append(template.strip())
+            except Exception as e:
+                logging.warning(f"Unable to load tokenizer for {model}", exc_info=e)
+
+        if not model_templates:
+            return
+
+        chat_template = Counter(model_templates).most_common(1)[0][0]
+        logging.info(f"Auto-selected chat template: {chat_template}")
+
+    elif importlib.resources.is_resource(chat_templates, chat_template + ".jinja"):
+        with importlib.resources.open_text(
+            chat_templates, chat_template + ".jinja"
+        ) as fp:
+            chat_template = fp.read()
+
+    elif len(chat_template) < 20 or "{" not in chat_template:
+        raise RuntimeError(f"Invalid chat template: {chat_template}")
+
+    tokenizer.chat_template = chat_template
+
+
 def _copy_tokenizer(
     merge_config: MergeConfiguration, out_path: str, trust_remote_code: bool = False
 ):
     donor_model = merge_config.base_model or (merge_config.referenced_models()[0])
 
-    if os.path.exists(
-        os.path.join(donor_model.model.path, "tokenizer_config.json")
-    ) and (
-        os.path.exists(os.path.join(donor_model.model.path, "tokenizer.json"))
-        or os.path.exists(os.path.join(donor_model.model.path, "tokenizer.model"))
+    if (
+        (not merge_config.chat_template)
+        and os.path.exists(
+            os.path.join(donor_model.model.path, "tokenizer_config.json")
+        )
+        and (
+            os.path.exists(os.path.join(donor_model.model.path, "tokenizer.json"))
+            or os.path.exists(os.path.join(donor_model.model.path, "tokenizer.model"))
+        )
     ):
         logging.info(f"Copying tokenizer from {donor_model}")
 
@@ -166,6 +225,7 @@ def _copy_tokenizer(
         revision=donor_model.model.revision,
         trust_remote_code=trust_remote_code,
     )
+    _set_chat_template(tokenizer, merge_config)
     tokenizer.save_pretrained(out_path, safe_serialization=True)
 
 

pyproject.toml

@@ -57,9 +57,14 @@ packages = [
     "mergekit.tokenizer",
     "mergekit._data",
     "mergekit._data.architectures",
+    "mergekit._data.chat_templates",
 ]
 include-package-data = true
-package-data = { "mergekit._data.architectures" = ["*.json"] }
+package-data = { "mergekit._data.architectures" = [
+    "*.json",
+], "mergekit._data.chat_templates" = [
+    "*.jinja",
+] }
 
 [tool.isort]
 profile = "black"
@@ -74,6 +79,6 @@ minversion = "6.0"
 filterwarnings = [
     "ignore::pydantic.PydanticDeprecatedSince20:huggingface_hub.*:",
     "ignore::FutureWarning:huggingface_hub.*:",
-    "ignore:(read_text|open_text|contents) is deprecated:DeprecationWarning", # yes i know, but files() doesn't exist in 3.8
+    "ignore:(read_text|open_text|contents|is_resource) is deprecated:DeprecationWarning", # yes i know, but files() doesn't exist in 3.8
 ]
 testpaths = ["tests"]

tests/test_chat_template.py

@@ -0,0 +1,52 @@
+from typing import Optional
+
+from common import run_and_check_merge
+from test_basic_merges import model_b
+from test_tokenizer import model_base
+from transformers import AutoTokenizer
+
+from mergekit.config import InputModelDefinition, MergeConfiguration
+
+
+def check_chat_template(model_path: str, needle: Optional[str] = None):
+    tokenizer = AutoTokenizer.from_pretrained(model_path)
+    if needle is None:
+        assert not tokenizer.chat_template, "Expected no chat template"
+        return
+    assert (
+        tokenizer.chat_template and needle in tokenizer.chat_template
+    ), f"Expected chat template to contain {needle}"
+
+
+class TestChatTemplate:
+    def test_template_chatml(self, model_base, model_b):
+        config = MergeConfiguration(
+            merge_method="linear",
+            models=[
+                InputModelDefinition(model=model_base, parameters={"weight": 0.5}),
+                InputModelDefinition(model=model_b, parameters={"weight": 0.5}),
+            ],
+            base_model=model_base,
+            dtype="bfloat16",
+            chat_template="chatml",
+        )
+        run_and_check_merge(
+            config,
+            validate=lambda p: check_chat_template(p, "<|im_start|>"),
+        )
+
+    def test_template_literal_jinja(self, model_base, model_b):
+        config = MergeConfiguration(
+            merge_method="linear",
+            models=[
+                InputModelDefinition(model=model_base, parameters={"weight": 0.5}),
+                InputModelDefinition(model=model_b, parameters={"weight": 0.5}),
+            ],
+            base_model=model_base,
+            dtype="bfloat16",
+            chat_template="{{messages[0]['content']}}",
+        )
+        run_and_check_merge(
+            config,
+            validate=lambda p: check_chat_template(p, "{{messages[0]['content']}}"),
+        )