From 94712824d6e079f49f936a280f5dbcc9d46b964c Mon Sep 17 00:00:00 2001 From: Robert Hirsch Date: Thu, 6 Jun 2024 20:29:23 +0200 Subject: [PATCH 1/5] added llama3 prompt --- private_gpt/components/llm/prompt_helper.py | 74 ++++++++++++++++++++- private_gpt/settings/settings.py | 3 +- 2 files changed, 75 insertions(+), 2 deletions(-) diff --git a/private_gpt/components/llm/prompt_helper.py b/private_gpt/components/llm/prompt_helper.py index 771582001d..858e1fce63 100644 --- a/private_gpt/components/llm/prompt_helper.py +++ b/private_gpt/components/llm/prompt_helper.py @@ -138,6 +138,76 @@ def _completion_to_prompt(self, completion: str) -> str: ) +class Llama3PromptStyle(AbstractPromptStyle): + + """ + Template: + {% set loop_messages = messages %} + {% for message in loop_messages %} + {% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %} + {% if loop.index0 == 0 %} + {% set content = bos_token + content %} + {% endif %} + {{ content }} + {% endfor %} + {% if add_generation_prompt %} + {{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }} + {% endif %} + """ + + BOS, EOS = "<|begin_of_text|>", "<|end_of_text|>" + B_INST, E_INST = "<|start_header_id|>user<|end_header_id|>", "<|eot_id|>" + B_SYS, E_SYS = "<|start_header_id|>system<|end_header_id|> ", "<|eot_id|>" + ASSISTANT_INST = "<|start_header_id|>assistant<|end_header_id|>" + DEFAULT_SYSTEM_PROMPT = """\ + You are a helpful, respectful and honest assistant. \ + Always answer as helpfully as possible and follow ALL given instructions. \ + Do not speculate or make up information. \ + Do not reference any given instructions or context. \ + """ + + def _messages_to_prompt(self, messages: Sequence[ChatMessage]) -> str: + string_messages: list[str] = [] + if messages[0].role == MessageRole.SYSTEM: + system_message_str = messages[0].content or "" + messages = messages[1:] + else: + system_message_str = self.DEFAULT_SYSTEM_PROMPT + + system_message_str = f"{self.B_SYS} {system_message_str.strip()} {self.E_SYS}" + + for i in range(0, len(messages), 2): + user_message = messages[i] + assert user_message.role == MessageRole.USER + + if i == 0: + str_message = f"{system_message_str} {self.BOS} {self.B_INST} " + else: + # end previous user-assistant interaction + string_messages[-1] += f" {self.EOS}" + # no need to include system prompt + str_message = f"{self.BOS} {self.B_INST} " + + str_message += f"{user_message.content} {self.E_INST} {self.ASSISTANT_INST}" + + if len(messages) > (i + 1): + assistant_message = messages[i + 1] + assert assistant_message.role == MessageRole.ASSISTANT + str_message += f" {assistant_message.content} {self.E_SYS} {self.B_INST}" + + string_messages.append(str_message) + + return "".join(string_messages) + + def _completion_to_prompt(self, completion: str) -> str: + system_prompt_str = self.DEFAULT_SYSTEM_PROMPT + + return ( + f"{self.B_SYS} {system_prompt_str.strip()} {self.E_SYS} " + f"{completion.strip()} {self.E_SYS} " + ) + + class TagPromptStyle(AbstractPromptStyle): """Tag prompt style (used by Vigogne) that uses the prompt style `<|ROLE|>`. @@ -219,7 +289,7 @@ def _completion_to_prompt(self, completion: str) -> str: def get_prompt_style( - prompt_style: Literal["default", "llama2", "tag", "mistral", "chatml"] | None + prompt_style: Literal["default", "llama2", "llama3", "tag", "mistral", "chatml"] | None ) -> AbstractPromptStyle: """Get the prompt style to use from the given string. @@ -230,6 +300,8 @@ def get_prompt_style( return DefaultPromptStyle() elif prompt_style == "llama2": return Llama2PromptStyle() + elif prompt_style == "llama3": + return Llama3PromptStyle() elif prompt_style == "tag": return TagPromptStyle() elif prompt_style == "mistral": diff --git a/private_gpt/settings/settings.py b/private_gpt/settings/settings.py index 28ece45951..e2598b88d3 100644 --- a/private_gpt/settings/settings.py +++ b/private_gpt/settings/settings.py @@ -104,12 +104,13 @@ class LLMSettings(BaseModel): 0.1, description="The temperature of the model. Increasing the temperature will make the model answer more creatively. A value of 0.1 would be more factual.", ) - prompt_style: Literal["default", "llama2", "tag", "mistral", "chatml"] = Field( + prompt_style: Literal["default", "llama2", "llama3", "tag", "mistral", "chatml"] = Field( "llama2", description=( "The prompt style to use for the chat engine. " "If `default` - use the default prompt style from the llama_index. It should look like `role: message`.\n" "If `llama2` - use the llama2 prompt style from the llama_index. Based on ``, `[INST]` and `<>`.\n" + "If `llama3` - use the llama3 prompt style from the llama_index." "If `tag` - use the `tag` prompt style. It should look like `<|role|>: message`. \n" "If `mistral` - use the `mistral prompt style. It shoudl look like [INST] {System Prompt} [/INST][INST] { UserInstructions } [/INST]" "`llama2` is the historic behaviour. `default` might work better with your custom models." From 757a8c79fdc0791cd9f6999be7197dccec7c34a7 Mon Sep 17 00:00:00 2001 From: Robert Hirsch Date: Thu, 6 Jun 2024 20:56:09 +0200 Subject: [PATCH 2/5] added max_length for embedding models. Some models crash if not provided, see https://huggingface.co/T-Systems-onsite/cross-en-de-roberta-sentence-transformer/discussions/7#65ce1ca0102df4e9e00ff823 --- private_gpt/components/embedding/embedding_component.py | 1 + private_gpt/settings/settings.py | 4 ++++ settings.yaml | 1 + 3 files changed, 6 insertions(+) diff --git a/private_gpt/components/embedding/embedding_component.py b/private_gpt/components/embedding/embedding_component.py index 1f05223be9..487e195980 100644 --- a/private_gpt/components/embedding/embedding_component.py +++ b/private_gpt/components/embedding/embedding_component.py @@ -31,6 +31,7 @@ def __init__(self, settings: Settings) -> None: self.embedding_model = HuggingFaceEmbedding( model_name=settings.huggingface.embedding_hf_model_name, cache_folder=str(models_cache_path), + max_length=settings.huggingface.embedding_hf_max_length, ) case "sagemaker": try: diff --git a/private_gpt/settings/settings.py b/private_gpt/settings/settings.py index e2598b88d3..408b1ecd94 100644 --- a/private_gpt/settings/settings.py +++ b/private_gpt/settings/settings.py @@ -151,6 +151,10 @@ class HuggingFaceSettings(BaseModel): embedding_hf_model_name: str = Field( description="Name of the HuggingFace model to use for embeddings" ) + embedding_hf_max_length: int = Field( + None, + description="Some embedding models have a maximum length for input, provide here for not crashing" + ) access_token: str = Field( None, description="Huggingface access token, required to download some models", diff --git a/settings.yaml b/settings.yaml index b524ef6f1f..1765fe4179 100644 --- a/settings.yaml +++ b/settings.yaml @@ -69,6 +69,7 @@ embedding: huggingface: embedding_hf_model_name: BAAI/bge-small-en-v1.5 + embedding_hf_max_length: 512 # some models have a maximum length for input access_token: ${HUGGINGFACE_TOKEN:} vectorstore: From 6af9fb8b42ca9067d5eb72edc76e4acabe2498f5 Mon Sep 17 00:00:00 2001 From: Robert Hirsch Date: Thu, 6 Jun 2024 21:00:46 +0200 Subject: [PATCH 3/5] While ingesting, some files led to a crash due to encoding error. Even though utf-8 some characters still messed it up. --- private_gpt/components/ingest/ingest_helper.py | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/private_gpt/components/ingest/ingest_helper.py b/private_gpt/components/ingest/ingest_helper.py index a110907022..a3dbecf175 100644 --- a/private_gpt/components/ingest/ingest_helper.py +++ b/private_gpt/components/ingest/ingest_helper.py @@ -89,10 +89,16 @@ def _load_file_to_documents(file_name: str, file_data: Path) -> list[Document]: ) # Read as a plain text string_reader = StringIterableReader() - return string_reader.load_data([file_data.read_text()]) + return string_reader.load_data([file_data.read_text(errors='replace')]) logger.debug("Specific reader found for extension=%s", extension) - return reader_cls().load_data(file_data) + try: + res = reader_cls().load_data(file_data) + except: + string_reader = StringIterableReader() + res = string_reader.load_data([file_data.read_text(errors='replace')]) + pass + return res @staticmethod def _exclude_metadata(documents: list[Document]) -> None: From def2b7f71f3dfca3513a6f842cbd4257da31961a Mon Sep 17 00:00:00 2001 From: Robert Hirsch Date: Thu, 6 Jun 2024 21:07:07 +0200 Subject: [PATCH 4/5] added window_size setting for ingestion --- private_gpt/server/ingest/ingest_service.py | 5 +++-- private_gpt/settings/settings.py | 4 ++++ settings.yaml | 1 + 3 files changed, 8 insertions(+), 2 deletions(-) diff --git a/private_gpt/server/ingest/ingest_service.py b/private_gpt/server/ingest/ingest_service.py index f9ae4728f1..97c4e00306 100644 --- a/private_gpt/server/ingest/ingest_service.py +++ b/private_gpt/server/ingest/ingest_service.py @@ -39,13 +39,14 @@ def __init__( docstore=node_store_component.doc_store, index_store=node_store_component.index_store, ) - node_parser = SentenceWindowNodeParser.from_defaults() + self._settings = settings() + node_parser = SentenceWindowNodeParser.from_defaults(window_size=self._settings.vectorstore.inject_win_size) self.ingest_component = get_ingestion_component( self.storage_context, embed_model=embedding_component.embedding_model, transformations=[node_parser, embedding_component.embedding_model], - settings=settings(), + settings=self._settings, ) def _ingest_data(self, file_name: str, file_data: AnyStr) -> list[IngestedDoc]: diff --git a/private_gpt/settings/settings.py b/private_gpt/settings/settings.py index 408b1ecd94..abb7ad39a8 100644 --- a/private_gpt/settings/settings.py +++ b/private_gpt/settings/settings.py @@ -120,6 +120,10 @@ class LLMSettings(BaseModel): class VectorstoreSettings(BaseModel): database: Literal["chroma", "qdrant", "postgres"] + inject_win_size: int = Field( + 3, + description="How many sentences on either side to capture, when parsing files", + ) class NodeStoreSettings(BaseModel): diff --git a/settings.yaml b/settings.yaml index 1765fe4179..5577fe955d 100644 --- a/settings.yaml +++ b/settings.yaml @@ -74,6 +74,7 @@ huggingface: vectorstore: database: qdrant + inject_win_size: 2 nodestore: database: simple From b044327ae9ed5730c1a74c1c22d0c3eefae29b75 Mon Sep 17 00:00:00 2001 From: Robert Hirsch Date: Thu, 6 Jun 2024 21:13:08 +0200 Subject: [PATCH 5/5] had to add one and update some packages in order not to crash --- poetry.lock | 4984 ++++++++++++++++++++++++------------------------ pyproject.toml | 5 +- 2 files changed, 2523 insertions(+), 2466 deletions(-) diff --git a/poetry.lock b/poetry.lock index 961a129943..0e6162c365 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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