Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

fix mistral prompt assembly #982

Merged
merged 3 commits into from
Dec 21, 2023
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
24 changes: 23 additions & 1 deletion src/axolotl/monkeypatch/fastchat_conversation_turns.py
Original file line number Diff line number Diff line change
Expand Up @@ -82,7 +82,7 @@ def get_turns( # pylint: disable=too-many-return-statements
else:
yield role + ":", ""
return
if self.sep_style == SeparatorStyle.LLAMA2:
if self.sep_style == SeparatorStyle.LLAMA2 and self.name != "mistral":
if self.system_message:
if self.messages:
# For llama, the system message is incorporated into the first human instruction
Expand All @@ -101,6 +101,28 @@ def get_turns( # pylint: disable=too-many-return-statements
else:
yield role, ""
return
if self.sep_style == SeparatorStyle.LLAMA2 and self.name == "mistral":
contains_sys_msg = False
if self.system_message:
contains_sys_msg = True
if self.messages:
# There is no clear guidance on how to handle system messages in Mistral so we just prepend it to the first human instruction seperated by a newline
first_role, first_msg = self.messages[0]
if first_role == self.roles[0]:
system_prompt = self.system_template.format(
system_message=" " + self.system_message
)
system_prompt += first_msg
self.messages.pop(0)
yield "", system_prompt
for i, (role, message) in enumerate(self.messages):
if message and i == 0 and not contains_sys_msg:
yield "", system_prompt.strip() + " " + message # if there is no system message, we need to make sure there is the a `<s> [INST]` at the beginning of the first instruction.
elif message:
yield role + " ", message
else:
yield role, ""
return
if self.sep_style == SeparatorStyle.CHATGLM:
# source: https://huggingface.co/THUDM/chatglm-6b/blob/1d240ba371910e9282298d4592532d7f0f3e9f3e/modeling_chatglm.py#L1302-L1308
# source2: https://huggingface.co/THUDM/chatglm2-6b/blob/e186c891cf64310ac66ef10a87e6635fa6c2a579/modeling_chatglm.py#L926
Expand Down
131 changes: 85 additions & 46 deletions tests/test_prompt_tokenizers.py
Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,7 @@
import json
import logging
import unittest
from copy import deepcopy
from pathlib import Path
from typing import Optional

Expand All @@ -25,6 +26,50 @@

LOG = logging.getLogger("axolotl")

test_data = {
"multi_turn_sys": {
"conversations": [
{"from": "system", "value": "lorem"},
{"from": "human", "value": "abc"},
{"from": "gpt", "value": "ipsum"},
{"from": "human", "value": "123"},
{"from": "gpt", "value": "sit"},
]
},
"single_turn_sys": {
"conversations": [
{"from": "system", "value": "lorem"},
{"from": "human", "value": "abc"},
{"from": "gpt", "value": "ipsum"},
]
},
"single_turn_no_sys": {
"conversations": [
{"from": "human", "value": "abc"},
{"from": "gpt", "value": "ipsum"},
]
},
"multi_turn_no_sys": {
"conversations": [
{"from": "human", "value": "abc"},
{"from": "gpt", "value": "ipsum"},
{"from": "human", "value": "123"},
{"from": "gpt", "value": "sit"},
]
},
}


def prompt_strat(conversation, tokenizer):
"Helper function to create a prompt strategy for testing."
prompter = ShareGPTPrompterV2(conversation=conversation)
return ShareGPTPromptTokenizingStrategy(
prompter,
tokenizer,
False,
2048,
)


class TestPromptTokenizationStrategies(unittest.TestCase):
"""
Expand Down Expand Up @@ -116,74 +161,68 @@ def test_sharegpt_warnings_turns(self):

def test_sharegpt_llama(self):
"Make sure the sharegpt/llama is tokenized and formatted correctly."
prompter = ShareGPTPrompterV2(conversation="llama-2")
strat = ShareGPTPromptTokenizingStrategy(
prompter,
self.tokenizer,
False,
2048,
)
strat = prompt_strat("llama-2", self.tokenizer)

def tokenize(conv):
return strat.tokenize_prompt(conv)["input_ids"]
return strat.tokenize_prompt(deepcopy(conv))["input_ids"]

def decode(ids):
return strat.tokenizer.decode(ids)

# Multi-turn conversations
multi_turn_conv = {
"conversations": [
{"from": "system", "value": "lorem"},
{"from": "human", "value": "abc"},
{"from": "gpt", "value": "ipsum"},
{"from": "human", "value": "123"},
{"from": "gpt", "value": "sit"},
]
}
# fmt: off
mt_ids = tokenize(multi_turn_conv)
# System message, multi-turn conversations
mt_ids = tokenize(test_data['multi_turn_sys'])
assert decode(mt_ids) == '<s> [INST] <<SYS>>\nlorem\n<</SYS>>\n\nabc [/INST] ipsum</s><s> [INST] 123 [/INST] sit</s>'
assert mt_ids == [1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 29880, 3668, 13, 29966, 829, 14816, 29903, 6778, 13, 13, 10736, 518, 29914, 25580, 29962, 23421, 2, 1, 518, 25580, 29962, 29871, 29896, 29906, 29941, 518, 29914, 25580, 29962, 7845, 2]

# Single-turn conversations
single_turn_conv = {
"conversations": [
{"from": "system", "value": "lorem"},
{"from": "human", "value": "abc"},
{"from": "gpt", "value": "ipsum"},
]
}

st_ids = tokenize(single_turn_conv)
# System message, single-turn conversations
st_ids = tokenize(test_data['single_turn_sys'])
assert decode(st_ids) == '<s> [INST] <<SYS>>\nlorem\n<</SYS>>\n\nabc [/INST] ipsum</s>'
assert st_ids == [1, 518, 25580, 29962, 3532, 14816, 29903, 6778, 13, 29880, 3668, 13, 29966, 829, 14816, 29903, 6778, 13, 13, 10736, 518, 29914, 25580, 29962, 23421, 2]

# No system message, single-turn
no_sys_conv = {
"conversations": [
{"from": "human", "value": "abc"},
{"from": "gpt", "value": "ipsum"},
]
}

ns_ids = tokenize(no_sys_conv)
ns_ids = tokenize(test_data['single_turn_no_sys'])
assert decode(ns_ids) == '<s> [INST] abc [/INST] ipsum</s>'
assert ns_ids == [1, 518, 25580, 29962, 25638, 518, 29914, 25580, 29962, 23421, 2]

# No system message, multi-turn
no_sys_mt_conv = {
"conversations": [
{"from": "human", "value": "abc"},
{"from": "gpt", "value": "ipsum"},
{"from": "human", "value": "123"},
{"from": "gpt", "value": "sit"},
]
}
ns_mt_ids = tokenize(no_sys_mt_conv)
ns_mt_ids = tokenize(test_data['multi_turn_no_sys'])
assert decode(ns_mt_ids) == '<s> [INST] abc [/INST] ipsum</s><s> [INST] 123 [/INST] sit</s>'
assert ns_mt_ids == [1, 518, 25580, 29962, 25638, 518, 29914, 25580, 29962, 23421, 2, 1, 518, 25580, 29962, 29871, 29896, 29906, 29941, 518, 29914, 25580, 29962, 7845, 2]
# fmt: on

def test_sharegpt_mistral(self):
"Make sure the sharegpt/mistral is tokenized and formatted correctly."
strat = prompt_strat("mistral", self.tokenizer)

def tokenize(conv):
return strat.tokenize_prompt(deepcopy(conv))["input_ids"]

def decode(ids):
return strat.tokenizer.decode(ids)

# fmt: off
# System message, multi-turn conversations
mt_ids = tokenize(test_data['multi_turn_sys'])
assert decode(mt_ids) == '<s> [INST] lorem\nabc [/INST] ipsum</s> [INST] 123 [/INST] sit</s>'
assert mt_ids == [1, 518, 25580, 29962, 301, 3668, 13, 10736, 518, 29914, 25580, 29962, 23421, 2, 518, 25580, 29962, 29871, 29896, 29906, 29941, 518, 29914, 25580, 29962, 7845, 2]

# System message, single-turn conversations
st_ids = tokenize(test_data['single_turn_sys'])
assert decode(st_ids) == '<s> [INST] lorem\nabc [/INST] ipsum</s>'
assert st_ids == [1, 518, 25580, 29962, 301, 3668, 13, 10736, 518, 29914, 25580, 29962, 23421, 2]

# No system message, single-turn
ns_ids = tokenize(test_data['single_turn_no_sys'])
assert decode(ns_ids) == '<s> [INST] abc [/INST] ipsum</s>'
assert ns_ids == [1, 518, 25580, 29962, 25638, 518, 29914, 25580, 29962, 23421, 2]

# No system message, multi-turn
ns_mt_ids = tokenize(test_data['multi_turn_no_sys'])
assert decode(ns_mt_ids) == '<s> [INST] abc [/INST] ipsum</s> [INST] 123 [/INST] sit</s>'
assert ns_mt_ids == [1, 518, 25580, 29962, 25638, 518, 29914, 25580, 29962, 23421, 2, 518, 25580, 29962, 29871, 29896, 29906, 29941, 518, 29914, 25580, 29962, 7845, 2]
# fmt: on

def test_sharegpt_changes_roles(self):
conversation = {
"roles": ["USER", "CHARACTER"],
Expand Down