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support ollama modelfile export (#4686)

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scripts/export_ollama_modelfile.py Normal file
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# Copyright 2024 the LlamaFactory team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import codecs
import os
from typing import TYPE_CHECKING
import fire
from transformers import AutoTokenizer
from llamafactory.data import get_template_and_fix_tokenizer
if TYPE_CHECKING:
from transformers import PreTrainedTokenizer
from llamafactory.data.formatter import SLOTS
from llamafactory.data.template import Template
def _convert_slots_to_ollama(slots: "SLOTS", tokenizer: "PreTrainedTokenizer", placeholder: str = "content") -> str:
slot_items = []
for slot in slots:
if isinstance(slot, str):
slot_pieces = slot.split("{{content}}")
if slot_pieces[0]:
slot_items.append(slot_pieces[0])
if len(slot_pieces) > 1:
slot_items.append(placeholder)
if slot_pieces[1]:
slot_items.append(slot_pieces[1])
elif isinstance(slot, set): # do not use {{ eos_token }} since it may be replaced
if "bos_token" in slot and tokenizer.bos_token_id is not None:
slot_items.append(tokenizer.bos_token)
elif "eos_token" in slot and tokenizer.eos_token_id is not None:
slot_items.append(tokenizer.eos_token)
elif isinstance(slot, dict):
raise ValueError("Dict is not supported.")
return "".join(slot_items)
def _split_round_template(user_template_str: "str", template_obj: "Template", tokenizer: "PreTrainedTokenizer") -> tuple:
if template_obj.format_separator.apply():
format_separator = _convert_slots_to_ollama(template_obj.format_separator.apply(), tokenizer)
round_split_token_list = [tokenizer.eos_token + format_separator, tokenizer.eos_token,
format_separator, "{{ .Prompt }}"]
else:
round_split_token_list = [tokenizer.eos_token, "{{ .Prompt }}"]
for round_split_token in round_split_token_list:
round_split_templates = user_template_str.split(round_split_token)
if len(round_split_templates) >= 2:
user_round_template = "".join(round_split_templates[:-1])
assistant_round_template = round_split_templates[-1]
return user_round_template + round_split_token, assistant_round_template
return user_template_str, ""
def convert_template_obj_to_ollama(template_obj: "Template", tokenizer: "PreTrainedTokenizer") -> str:
ollama_template = ""
if template_obj.format_system:
ollama_template += "{{ if .System }}"
ollama_template += _convert_slots_to_ollama(template_obj.format_system.apply(), tokenizer, "{{ .System }}")
ollama_template += "{{ end }}"
user_template = _convert_slots_to_ollama(template_obj.format_user.apply(), tokenizer, "{{ .Prompt }}")
user_round_template, assistant_round_template = _split_round_template(user_template, template_obj, tokenizer)
ollama_template += "{{ if .Prompt }}"
ollama_template += user_round_template
ollama_template += "{{ end }}"
ollama_template += assistant_round_template
ollama_template += _convert_slots_to_ollama(template_obj.format_assistant.apply(), tokenizer, "{{ .Response }}")
return ollama_template
def export_ollama_modelfile(
model_name_or_path: str,
gguf_path: str,
template: str,
export_dir: str = "./ollama_model_file"
):
tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, trust_remote_code=True)
template_obj = get_template_and_fix_tokenizer(tokenizer, name=template)
ollama_template = convert_template_obj_to_ollama(template_obj, tokenizer)
if not os.path.exists(export_dir):
os.mkdir(export_dir)
with codecs.open(os.path.join(export_dir, "Modelfile"), "w", encoding="utf-8") as outf:
outf.write("FROM {}".format(gguf_path) + "\n")
outf.write("TEMPLATE \"\"\"{}\"\"\"".format(ollama_template) + "\n")
if template_obj.stop_words:
for stop_word in template_obj.stop_words:
outf.write("PARAMETER stop \"{}\"".format(stop_word) + "\n")
elif not template_obj.efficient_eos:
outf.write("PARAMETER stop \"{}\"".format(tokenizer.eos_token) + "\n")
if __name__ == '__main__':
fire.Fire(export_ollama_modelfile)

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# Copyright 2024 the LlamaFactory team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from transformers import AutoTokenizer
from llamafactory.data import get_template_and_fix_tokenizer
from export_ollama_modelfile import convert_template_obj_to_ollama
def test_qwen2_template():
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2-7B-Instruct")
template = get_template_and_fix_tokenizer(tokenizer, name="qwen")
ollama_template = convert_template_obj_to_ollama(template, tokenizer)
assert ollama_template == ("{{ if .System }}<|im_start|>system\n"
"{{ .System }}<|im_end|>\n"
"{{ end }}{{ if .Prompt }}<|im_start|>user\n"
"{{ .Prompt }}<|im_end|>\n"
"{{ end }}<|im_start|>assistant\n"
"{{ .Response }}<|im_end|>")
def test_yi_template():
tokenizer = AutoTokenizer.from_pretrained("01-ai/Yi-1.5-9B-Chat")
template = get_template_and_fix_tokenizer(tokenizer, name="yi")
ollama_template = convert_template_obj_to_ollama(template, tokenizer)
assert ollama_template == ("{{ if .System }}<|im_start|>system\n"
"{{ .System }}<|im_end|>\n"
"{{ end }}{{ if .Prompt }}<|im_start|>user\n"
"{{ .Prompt }}<|im_end|>\n"
"{{ end }}<|im_start|>assistant\n"
"{{ .Response }}<|im_end|>")
def test_llama2_template():
tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-2-7b-hf")
template = get_template_and_fix_tokenizer(tokenizer, name="llama2")
ollama_template = convert_template_obj_to_ollama(template, tokenizer)
assert ollama_template == ("{{ if .System }}<<SYS>>\n"
"{{ .System }}\n"
"<</SYS>>\n\n"
"{{ end }}{{ if .Prompt }}<s>[INST] {{ .Prompt }}{{ end }} [/INST]{{ .Response }}</s>")
def test_llama3_template():
tokenizer = AutoTokenizer.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct")
template = get_template_and_fix_tokenizer(tokenizer, name="llama3")
ollama_template = convert_template_obj_to_ollama(template, tokenizer)
assert ollama_template == ("{{ if .System }}<|start_header_id|>system<|end_header_id|>\n\n"
"{{ .System }}<|eot_id|>{{ end }}"
"{{ if .Prompt }}<|start_header_id|>user<|end_header_id|>\n\n"
"{{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|>\n\n"
"{{ .Response }}<|eot_id|>")
def test_phi3_template():
tokenizer = AutoTokenizer.from_pretrained("microsoft/Phi-3-mini-4k-instruct")
template = get_template_and_fix_tokenizer(tokenizer, name="phi")
ollama_template = convert_template_obj_to_ollama(template, tokenizer)
assert ollama_template == ("{{ if .System }}<|system|>\n"
"{{ .System }}<|end|>\n"
"{{ end }}{{ if .Prompt }}<|user|>\n"
"{{ .Prompt }}<|end|>\n"
"{{ end }}<|assistant|>\n"
"{{ .Response }}<|end|>")
if __name__ == '__main__':
test_qwen2_template()
test_yi_template()
test_llama2_template()
test_llama3_template()
test_phi3_template()