Chat Template Anatomi: Jinja, Special Tokens ve Token-by-Token Açılım

1. 5 Popüler Model Chat Template#

Llama 3.1/3.2/3.3#

<|begin_of_text|><|start_header_id|>system<|end_header_id|>

{system_message}<|eot_id|><|start_header_id|>user<|end_header_id|>

{user_message}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

{assistant_message}<|eot_id|>

Qwen 2.5#

<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{user_message}<|im_end|>
<|im_start|>assistant
{assistant_message}<|im_end|>

Gemma 3#

<start_of_turn>user
{system_message}\n\n{user_message}<end_of_turn>
<start_of_turn>model
{assistant_message}<end_of_turn>

Mistral Small 3#

[INST] {system_message}\n\n{user_message} [/INST] {assistant_message}</s>

Phi-4#

<|im_start|>system<|im_sep|>{system_message}<|im_end|>
<|im_start|>user<|im_sep|>{user_message}<|im_end|>
<|im_start|>assistant<|im_sep|>{assistant_message}<|im_end|>

2. Tool-Calling Extension (Llama 3.1+, Qwen 2.5)#

messages = [
    {"role": "user", "content": "Bugün Istanbul'da hava nasıl?"},
]
tools = [{
    "type": "function",
    "function": {
        "name": "get_weather",
        "description": "Şehir için anlık hava durumu",
        "parameters": {"type": "object", "properties": {"city": {"type": "string"}}},
    }
}]

text = tok.apply_chat_template(messages, tools=tools, tokenize=False)
# Output (Llama 3.1):
# <|begin_of_text|><|start_header_id|>system<|end_header_id|>
#
# Environment: ipython
# Tools: get_weather
# ...
# Cutting Knowledge Date: ...
# Today Date: ...
#
# # Tool Instructions
# - Always execute python code in messages...
# <|eot_id|><|start_header_id|>user<|end_header_id|>
#
# Bugün Istanbul'da hava nasıl?
# <|eot_id|>