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chore: import upstream snapshot with attribution
2026-07-13 13:23:58 +08:00

46 lines
1.5 KiB
Python

"""Qwen3.5 conversation templates.
qwen3_5: Thinking enabled — assistant prefix opens a <think> block for the model
to reason in before responding.
qwen3_5_nothink: Thinking disabled — assistant prefix includes a closed empty
<think> block so the model skips straight to responding.
"""
from mlc_llm.protocol.conversation_protocol import Conversation, MessagePlaceholders
from .registry import ConvTemplateRegistry
ConvTemplateRegistry.register_conv_template(
Conversation(
name="qwen3_5",
system_template=f"<|im_start|>system\n{MessagePlaceholders.SYSTEM.value}<|im_end|>\n",
system_message="You are a helpful assistant.",
roles={
"user": "<|im_start|>user",
"assistant": "<|im_start|>assistant\n<think>",
},
seps=["<|im_end|>\n"],
role_content_sep="\n",
role_empty_sep="\n",
stop_str=["<|endoftext|>", "<|im_end|>"],
stop_token_ids=[248046, 248044],
)
)
ConvTemplateRegistry.register_conv_template(
Conversation(
name="qwen3_5_nothink",
system_template=f"<|im_start|>system\n{MessagePlaceholders.SYSTEM.value}<|im_end|>\n",
system_message="You are a helpful assistant.",
roles={
"user": "<|im_start|>user",
"assistant": "<|im_start|>assistant\n<think>\n\n</think>\n",
},
seps=["<|im_end|>\n"],
role_content_sep="\n",
role_empty_sep="\n",
stop_str=["<|endoftext|>", "<|im_end|>"],
stop_token_ids=[248046, 248044],
)
)