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support ollama modelfile export (#4686)
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scripts/export_ollama_modelfile.py
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112
scripts/export_ollama_modelfile.py
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# Copyright 2024 the LlamaFactory team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import codecs
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import os
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from typing import TYPE_CHECKING
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import fire
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from transformers import AutoTokenizer
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from llamafactory.data import get_template_and_fix_tokenizer
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if TYPE_CHECKING:
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from transformers import PreTrainedTokenizer
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from llamafactory.data.formatter import SLOTS
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from llamafactory.data.template import Template
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def _convert_slots_to_ollama(slots: "SLOTS", tokenizer: "PreTrainedTokenizer", placeholder: str = "content") -> str:
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slot_items = []
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for slot in slots:
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if isinstance(slot, str):
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slot_pieces = slot.split("{{content}}")
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if slot_pieces[0]:
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slot_items.append(slot_pieces[0])
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if len(slot_pieces) > 1:
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slot_items.append(placeholder)
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if slot_pieces[1]:
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slot_items.append(slot_pieces[1])
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elif isinstance(slot, set): # do not use {{ eos_token }} since it may be replaced
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if "bos_token" in slot and tokenizer.bos_token_id is not None:
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slot_items.append(tokenizer.bos_token)
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elif "eos_token" in slot and tokenizer.eos_token_id is not None:
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slot_items.append(tokenizer.eos_token)
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elif isinstance(slot, dict):
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raise ValueError("Dict is not supported.")
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return "".join(slot_items)
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def _split_round_template(user_template_str: "str", template_obj: "Template", tokenizer: "PreTrainedTokenizer") -> tuple:
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if template_obj.format_separator.apply():
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format_separator = _convert_slots_to_ollama(template_obj.format_separator.apply(), tokenizer)
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round_split_token_list = [tokenizer.eos_token + format_separator, tokenizer.eos_token,
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format_separator, "{{ .Prompt }}"]
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else:
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round_split_token_list = [tokenizer.eos_token, "{{ .Prompt }}"]
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for round_split_token in round_split_token_list:
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round_split_templates = user_template_str.split(round_split_token)
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if len(round_split_templates) >= 2:
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user_round_template = "".join(round_split_templates[:-1])
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assistant_round_template = round_split_templates[-1]
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return user_round_template + round_split_token, assistant_round_template
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return user_template_str, ""
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def convert_template_obj_to_ollama(template_obj: "Template", tokenizer: "PreTrainedTokenizer") -> str:
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ollama_template = ""
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if template_obj.format_system:
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ollama_template += "{{ if .System }}"
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ollama_template += _convert_slots_to_ollama(template_obj.format_system.apply(), tokenizer, "{{ .System }}")
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ollama_template += "{{ end }}"
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user_template = _convert_slots_to_ollama(template_obj.format_user.apply(), tokenizer, "{{ .Prompt }}")
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user_round_template, assistant_round_template = _split_round_template(user_template, template_obj, tokenizer)
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ollama_template += "{{ if .Prompt }}"
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ollama_template += user_round_template
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ollama_template += "{{ end }}"
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ollama_template += assistant_round_template
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ollama_template += _convert_slots_to_ollama(template_obj.format_assistant.apply(), tokenizer, "{{ .Response }}")
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return ollama_template
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def export_ollama_modelfile(
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model_name_or_path: str,
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gguf_path: str,
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template: str,
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export_dir: str = "./ollama_model_file"
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):
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tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, trust_remote_code=True)
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template_obj = get_template_and_fix_tokenizer(tokenizer, name=template)
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ollama_template = convert_template_obj_to_ollama(template_obj, tokenizer)
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if not os.path.exists(export_dir):
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os.mkdir(export_dir)
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with codecs.open(os.path.join(export_dir, "Modelfile"), "w", encoding="utf-8") as outf:
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outf.write("FROM {}".format(gguf_path) + "\n")
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outf.write("TEMPLATE \"\"\"{}\"\"\"".format(ollama_template) + "\n")
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if template_obj.stop_words:
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for stop_word in template_obj.stop_words:
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outf.write("PARAMETER stop \"{}\"".format(stop_word) + "\n")
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elif not template_obj.efficient_eos:
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outf.write("PARAMETER stop \"{}\"".format(tokenizer.eos_token) + "\n")
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if __name__ == '__main__':
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fire.Fire(export_ollama_modelfile)
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87
scripts/test_ollama_modelfile.py
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87
scripts/test_ollama_modelfile.py
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# Copyright 2024 the LlamaFactory team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from transformers import AutoTokenizer
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from llamafactory.data import get_template_and_fix_tokenizer
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from export_ollama_modelfile import convert_template_obj_to_ollama
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def test_qwen2_template():
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tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2-7B-Instruct")
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template = get_template_and_fix_tokenizer(tokenizer, name="qwen")
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ollama_template = convert_template_obj_to_ollama(template, tokenizer)
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assert ollama_template == ("{{ if .System }}<|im_start|>system\n"
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"{{ .System }}<|im_end|>\n"
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"{{ end }}{{ if .Prompt }}<|im_start|>user\n"
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"{{ .Prompt }}<|im_end|>\n"
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"{{ end }}<|im_start|>assistant\n"
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"{{ .Response }}<|im_end|>")
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def test_yi_template():
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tokenizer = AutoTokenizer.from_pretrained("01-ai/Yi-1.5-9B-Chat")
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template = get_template_and_fix_tokenizer(tokenizer, name="yi")
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ollama_template = convert_template_obj_to_ollama(template, tokenizer)
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assert ollama_template == ("{{ if .System }}<|im_start|>system\n"
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"{{ .System }}<|im_end|>\n"
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"{{ end }}{{ if .Prompt }}<|im_start|>user\n"
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"{{ .Prompt }}<|im_end|>\n"
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"{{ end }}<|im_start|>assistant\n"
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"{{ .Response }}<|im_end|>")
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def test_llama2_template():
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tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-2-7b-hf")
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template = get_template_and_fix_tokenizer(tokenizer, name="llama2")
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ollama_template = convert_template_obj_to_ollama(template, tokenizer)
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assert ollama_template == ("{{ if .System }}<<SYS>>\n"
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"{{ .System }}\n"
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"<</SYS>>\n\n"
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"{{ end }}{{ if .Prompt }}<s>[INST] {{ .Prompt }}{{ end }} [/INST]{{ .Response }}</s>")
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def test_llama3_template():
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tokenizer = AutoTokenizer.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct")
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template = get_template_and_fix_tokenizer(tokenizer, name="llama3")
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ollama_template = convert_template_obj_to_ollama(template, tokenizer)
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assert ollama_template == ("{{ if .System }}<|start_header_id|>system<|end_header_id|>\n\n"
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"{{ .System }}<|eot_id|>{{ end }}"
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"{{ if .Prompt }}<|start_header_id|>user<|end_header_id|>\n\n"
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"{{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|>\n\n"
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"{{ .Response }}<|eot_id|>")
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def test_phi3_template():
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tokenizer = AutoTokenizer.from_pretrained("microsoft/Phi-3-mini-4k-instruct")
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template = get_template_and_fix_tokenizer(tokenizer, name="phi")
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ollama_template = convert_template_obj_to_ollama(template, tokenizer)
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assert ollama_template == ("{{ if .System }}<|system|>\n"
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"{{ .System }}<|end|>\n"
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"{{ end }}{{ if .Prompt }}<|user|>\n"
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"{{ .Prompt }}<|end|>\n"
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"{{ end }}<|assistant|>\n"
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"{{ .Response }}<|end|>")
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if __name__ == '__main__':
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test_qwen2_template()
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test_yi_template()
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test_llama2_template()
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test_llama3_template()
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test_phi3_template()
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