Add chat format test.
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2 changed files with 35 additions and 10 deletions
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@ -878,19 +878,21 @@ def format_chatml(
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@register_chat_format("mistral-instruct")
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def format_mistral(
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def format_mistral_instruct(
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messages: List[llama_types.ChatCompletionRequestMessage],
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**kwargs: Any,
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) -> ChatFormatterResponse:
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_roles = dict(user="[INST] ", assistant="[/INST]")
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_sep = " "
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system_template = """<s>{system_message}"""
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system_message = _get_system_message(messages)
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system_message = system_template.format(system_message=system_message)
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_messages = _map_roles(messages, _roles)
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_messages.append((_roles["assistant"], None))
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_prompt = _format_no_colon_single(system_message, _messages, _sep)
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return ChatFormatterResponse(prompt=_prompt)
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bos = "<s>"
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eos = "</s>"
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stop = eos
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prompt = bos
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for message in messages:
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if message["role"] == "user" and message["content"] is not None and isinstance(message["content"], str):
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prompt += "[INST] " + message["content"]
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elif message["role"] == "assistant" and message["content"] is not None and isinstance(message["content"], str):
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prompt += " [/INST]" + message["content"] + eos
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prompt += " [/INST]"
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return ChatFormatterResponse(prompt=prompt, stop=stop)
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@register_chat_format("chatglm3")
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@ -1,10 +1,33 @@
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import json
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import jinja2
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from llama_cpp import (
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ChatCompletionRequestUserMessage,
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)
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import llama_cpp.llama_types as llama_types
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import llama_cpp.llama_chat_format as llama_chat_format
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from llama_cpp.llama_chat_format import hf_tokenizer_config_to_chat_formatter
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def test_mistral_instruct():
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chat_template = "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}"
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chat_formatter = jinja2.Template(chat_template)
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messages = [
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llama_types.ChatCompletionRequestUserMessage(role="user", content="Instruction"),
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llama_types.ChatCompletionRequestAssistantMessage(role="assistant", content="Model answer"),
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llama_types.ChatCompletionRequestUserMessage(role="user", content="Follow-up instruction"),
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]
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response = llama_chat_format.format_mistral_instruct(
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messages=messages,
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)
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reference = chat_formatter.render(
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messages=messages,
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bos_token="<s>",
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eos_token="</s>",
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)
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assert response.prompt == reference
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mistral_7b_tokenizer_config = """{
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"add_bos_token": true,
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