From 9027d695c11fbb01e62424b855665de71d513417 Mon Sep 17 00:00:00 2001 From: Javier Martinez Date: Wed, 31 Jul 2024 14:35:36 +0200 Subject: [PATCH] feat: make llama3.1 as default (#2022) * feat: change ollama default model to llama3.1 * chore: bump versions * feat: Change default model in local mode to llama3.1 * chore: make sure last poetry version is used * fix: mypy * fix: do not add BOS (with last llamacpp-python version) --- .../actions/install_dependencies/action.yml | 2 +- Dockerfile.external | 3 +- Dockerfile.local | 3 +- fern/docs/pages/installation/installation.mdx | 9 +- .../pages/installation/troubleshooting.mdx | 2 +- poetry.lock | 4613 ++++++++--------- private_gpt/components/llm/prompt_helper.py | 7 +- private_gpt/launcher.py | 3 +- settings-docker.yaml | 6 +- settings-local.yaml | 8 +- settings-ollama-pg.yaml | 2 +- settings-ollama.yaml | 2 +- settings-vllm.yaml | 2 +- settings.yaml | 10 +- tests/test_prompt_helper.py | 6 +- 15 files changed, 2243 insertions(+), 2435 deletions(-) diff --git a/.github/workflows/actions/install_dependencies/action.yml b/.github/workflows/actions/install_dependencies/action.yml index 29234eeff..0d70dca77 100644 --- a/.github/workflows/actions/install_dependencies/action.yml +++ b/.github/workflows/actions/install_dependencies/action.yml @@ -8,7 +8,7 @@ inputs: poetry_version: required: true type: string - default: "1.5.1" + default: "1.8.3" runs: using: composite diff --git a/Dockerfile.external b/Dockerfile.external index 80ffde315..5a8b73acd 100644 --- a/Dockerfile.external +++ b/Dockerfile.external @@ -2,7 +2,8 @@ FROM python:3.11.6-slim-bookworm as base # Install poetry RUN pip install pipx -RUN pipx install poetry +RUN python3 -m pipx ensurepath +RUN pipx install poetry==1.8.3 ENV PATH="/root/.local/bin:$PATH" ENV PATH=".venv/bin/:$PATH" diff --git a/Dockerfile.local b/Dockerfile.local index 8ee9f1ee0..fce9915af 100644 --- a/Dockerfile.local +++ b/Dockerfile.local @@ -4,7 +4,8 @@ FROM python:3.11.6-slim-bookworm as base # Install poetry RUN pip install pipx -RUN pipx install poetry +RUN python3 -m pipx ensurepath +RUN pipx install poetry==1.8.3 ENV PATH="/root/.local/bin:$PATH" ENV PATH=".venv/bin/:$PATH" diff --git a/fern/docs/pages/installation/installation.mdx b/fern/docs/pages/installation/installation.mdx index c3d232ac6..f7457b34b 100644 --- a/fern/docs/pages/installation/installation.mdx +++ b/fern/docs/pages/installation/installation.mdx @@ -28,6 +28,11 @@ pyenv local 3.11 Install [Poetry](https://python-poetry.org/docs/#installing-with-the-official-installer) for dependency management: Follow the instructions on the official Poetry website to install it. + +A bug exists in Poetry versions 1.7.0 and earlier. We strongly recommend upgrading to a tested version. +To upgrade Poetry to latest tested version, run `poetry self update 1.8.3` after installing it. + + ### 4. Optional: Install `make` To run various scripts, you need to install `make`. Follow the instructions for your operating system: #### macOS @@ -135,14 +140,14 @@ Now, start Ollama service (it will start a local inference server, serving both ollama serve ``` -Install the models to be used, the default settings-ollama.yaml is configured to user mistral 7b LLM (~4GB) and nomic-embed-text Embeddings (~275MB) +Install the models to be used, the default settings-ollama.yaml is configured to user llama3.1 8b LLM (~4GB) and nomic-embed-text Embeddings (~275MB) By default, PGPT will automatically pull models as needed. This behavior can be changed by modifying the `ollama.autopull_models` property. In any case, if you want to manually pull models, run the following commands: ```bash -ollama pull mistral +ollama pull llama3.1 ollama pull nomic-embed-text ``` diff --git a/fern/docs/pages/installation/troubleshooting.mdx b/fern/docs/pages/installation/troubleshooting.mdx index 586f0022c..50d87dedb 100644 --- a/fern/docs/pages/installation/troubleshooting.mdx +++ b/fern/docs/pages/installation/troubleshooting.mdx @@ -24,7 +24,7 @@ PrivateGPT uses the `AutoTokenizer` library to tokenize input text accurately. I In your `settings.yaml` file, specify the model you want to use: ```yaml llm: - tokenizer: mistralai/Mistral-7B-Instruct-v0.2 + tokenizer: meta-llama/Meta-Llama-3.1-8B-Instruct ``` 2. **Set Access Token for Gated Models:** If you are using a gated model, ensure the `access_token` is set as mentioned in the previous section. diff --git a/poetry.lock b/poetry.lock index a7467bebe..24301f079 100644 --- a/poetry.lock +++ b/poetry.lock @@ -13,87 +13,87 @@ files = [ [[package]] name = "aiohttp" -version = "3.9.1" +version = "3.9.5" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.8" files = [ - {file = "aiohttp-3.9.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e1f80197f8b0b846a8d5cf7b7ec6084493950d0882cc5537fb7b96a69e3c8590"}, - {file = "aiohttp-3.9.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c72444d17777865734aa1a4d167794c34b63e5883abb90356a0364a28904e6c0"}, - {file = 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f"{self.B_SYS}\n\n{self.DEFAULT_SYSTEM_PROMPT}{self.E_SYS}" + prompt ) # TODO: Implement tool handling logic @@ -199,7 +198,7 @@ def _messages_to_prompt(self, messages: Sequence[ChatMessage]) -> str: def _completion_to_prompt(self, completion: str) -> str: return ( - f"{self.BOS}{self.B_SYS}\n\n{self.DEFAULT_SYSTEM_PROMPT}{self.E_SYS}" + f"{self.B_SYS}\n\n{self.DEFAULT_SYSTEM_PROMPT}{self.E_SYS}" f"{self.B_INST}user{self.E_INST}\n\n{completion.strip()}{self.EOT}" f"{self.ASSISTANT_INST}\n\n" ) diff --git a/private_gpt/launcher.py b/private_gpt/launcher.py index 43bd803a5..2245d56e4 100644 --- a/private_gpt/launcher.py +++ b/private_gpt/launcher.py @@ -37,7 +37,8 @@ async def bind_injector_to_request(request: Request) -> None: # Add LlamaIndex simple observability global_handler = create_global_handler("simple") - LlamaIndexSettings.callback_manager = CallbackManager([global_handler]) + if global_handler is not None: + LlamaIndexSettings.callback_manager = CallbackManager([global_handler]) settings = root_injector.get(Settings) if settings.server.cors.enabled: diff --git a/settings-docker.yaml b/settings-docker.yaml index 59d5f166e..660d212ad 100644 --- a/settings-docker.yaml +++ b/settings-docker.yaml @@ -9,8 +9,8 @@ embedding: mode: ${PGPT_EMBED_MODE:mock} llamacpp: - llm_hf_repo_id: ${PGPT_HF_REPO_ID:TheBloke/Mistral-7B-Instruct-v0.1-GGUF} - llm_hf_model_file: ${PGPT_HF_MODEL_FILE:mistral-7b-instruct-v0.1.Q4_K_M.gguf} + llm_hf_repo_id: ${PGPT_HF_REPO_ID:lmstudio-community/Meta-Llama-3.1-8B-Instruct-GGUF} + llm_hf_model_file: ${PGPT_HF_MODEL_FILE:Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf} huggingface: embedding_hf_model_name: ${PGPT_EMBEDDING_HF_MODEL_NAME:BAAI/bge-small-en-v1.5} @@ -20,7 +20,7 @@ sagemaker: embedding_endpoint_name: ${PGPT_SAGEMAKER_EMBEDDING_ENDPOINT_NAME:} ollama: - llm_model: ${PGPT_OLLAMA_LLM_MODEL:mistral} + llm_model: ${PGPT_OLLAMA_LLM_MODEL:llama3.1} embedding_model: ${PGPT_OLLAMA_EMBEDDING_MODEL:nomic-embed-text} api_base: ${PGPT_OLLAMA_API_BASE:http://ollama:11434} embedding_api_base: ${PGPT_OLLAMA_EMBEDDING_API_BASE:http://ollama:11434} diff --git a/settings-local.yaml b/settings-local.yaml index 48eeb0ea0..596d7bc8e 100644 --- a/settings-local.yaml +++ b/settings-local.yaml @@ -7,12 +7,12 @@ llm: # Should be matching the selected model max_new_tokens: 512 context_window: 3900 - tokenizer: mistralai/Mistral-7B-Instruct-v0.2 - prompt_style: "mistral" + tokenizer: meta-llama/Meta-Llama-3.1-8B-Instruct + prompt_style: "llama3" llamacpp: - llm_hf_repo_id: TheBloke/Mistral-7B-Instruct-v0.2-GGUF - llm_hf_model_file: mistral-7b-instruct-v0.2.Q4_K_M.gguf + llm_hf_repo_id: lmstudio-community/Meta-Llama-3.1-8B-Instruct-GGUF + llm_hf_model_file: Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf embedding: mode: huggingface diff --git a/settings-ollama-pg.yaml b/settings-ollama-pg.yaml index b97982459..e2104f1b7 100644 --- a/settings-ollama-pg.yaml +++ b/settings-ollama-pg.yaml @@ -14,7 +14,7 @@ embedding: embed_dim: 768 ollama: - llm_model: mistral + llm_model: llama3.1 embedding_model: nomic-embed-text api_base: http://localhost:11434 diff --git a/settings-ollama.yaml b/settings-ollama.yaml index 13663dc7b..87d98a60f 100644 --- a/settings-ollama.yaml +++ b/settings-ollama.yaml @@ -11,7 +11,7 @@ embedding: mode: ollama ollama: - llm_model: mistral + llm_model: llama3.1 embedding_model: nomic-embed-text api_base: http://localhost:11434 embedding_api_base: http://localhost:11434 # change if your embedding model runs on another ollama diff --git a/settings-vllm.yaml b/settings-vllm.yaml index 1bfab6b28..db4ef755f 100644 --- a/settings-vllm.yaml +++ b/settings-vllm.yaml @@ -4,7 +4,7 @@ server: llm: mode: openailike max_new_tokens: 512 - tokenizer: mistralai/Mistral-7B-Instruct-v0.2 + tokenizer: meta-llama/Meta-Llama-3.1-8B-Instruct temperature: 0.1 embedding: diff --git a/settings.yaml b/settings.yaml index 6f936ddf3..7bd9a07f7 100644 --- a/settings.yaml +++ b/settings.yaml @@ -39,12 +39,12 @@ ui: llm: mode: llamacpp - prompt_style: "mistral" + prompt_style: "llama3" # Should be matching the selected model max_new_tokens: 512 context_window: 3900 # Select your tokenizer. Llama-index tokenizer is the default. - # tokenizer: mistralai/Mistral-7B-Instruct-v0.2 + # tokenizer: meta-llama/Meta-Llama-3.1-8B-Instruct temperature: 0.1 # The temperature of the model. Increasing the temperature will make the model answer more creatively. A value of 0.1 would be more factual. (Default: 0.1) rag: @@ -65,8 +65,8 @@ clickhouse: database: embeddings llamacpp: - llm_hf_repo_id: TheBloke/Mistral-7B-Instruct-v0.2-GGUF - llm_hf_model_file: mistral-7b-instruct-v0.2.Q4_K_M.gguf + llm_hf_repo_id: lmstudio-community/Meta-Llama-3.1-8B-Instruct-GGUF + llm_hf_model_file: Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf tfs_z: 1.0 # Tail free sampling is used to reduce the impact of less probable tokens from the output. A higher value (e.g., 2.0) will reduce the impact more, while a value of 1.0 disables this setting top_k: 40 # Reduces the probability of generating nonsense. A higher value (e.g. 100) will give more diverse answers, while a lower value (e.g. 10) will be more conservative. (Default: 40) top_p: 1.0 # Works together with top-k. A higher value (e.g., 0.95) will lead to more diverse text, while a lower value (e.g., 0.5) will generate more focused and conservative text. (Default: 0.9) @@ -114,7 +114,7 @@ openai: embedding_api_key: ${OPENAI_API_KEY:} ollama: - llm_model: llama2 + llm_model: llama3.1 embedding_model: nomic-embed-text api_base: http://localhost:11434 embedding_api_base: http://localhost:11434 # change if your embedding model runs on another ollama diff --git a/tests/test_prompt_helper.py b/tests/test_prompt_helper.py index ad9349c8b..c0653e28f 100644 --- a/tests/test_prompt_helper.py +++ b/tests/test_prompt_helper.py @@ -150,7 +150,7 @@ def test_llama3_prompt_style_format(): ] expected_prompt = ( - "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n" + "<|start_header_id|>system<|end_header_id|>\n\n" "You are a helpful assistant<|eot_id|>" "<|start_header_id|>user<|end_header_id|>\n\n" "Hello, how are you doing?<|eot_id|>" @@ -166,7 +166,7 @@ def test_llama3_prompt_style_with_default_system(): ChatMessage(content="Hello!", role=MessageRole.USER), ] expected = ( - "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n" + "<|start_header_id|>system<|end_header_id|>\n\n" f"{prompt_style.DEFAULT_SYSTEM_PROMPT}<|eot_id|>" "<|start_header_id|>user<|end_header_id|>\n\nHello!<|eot_id|>" "<|start_header_id|>assistant<|end_header_id|>\n\n" @@ -185,7 +185,7 @@ def test_llama3_prompt_style_with_assistant_response(): ] expected_prompt = ( - "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n" + "<|start_header_id|>system<|end_header_id|>\n\n" "You are a helpful assistant<|eot_id|>" "<|start_header_id|>user<|end_header_id|>\n\n" "What is the capital of France?<|eot_id|>"