From dd4448f787517c8a4d9d415a4c7338f4eaa08a5f Mon Sep 17 00:00:00 2001 From: Michael Yang Date: Tue, 27 Jun 2023 15:46:05 -0700 Subject: [PATCH] add prompt templates as j2 templates --- ollama/cmd/cli.py | 1 + ollama/engine.py | 11 +- ollama/prompt.py | 19 ++ ollama/templates/alpaca.prompt | 8 + ollama/templates/gpt4.prompt | 5 + ollama/templates/hermes.prompt | 5 + ollama/templates/oasst.prompt | 1 + ollama/templates/orca.prompt | 7 + ollama/templates/qlora.prompt | 2 + ollama/templates/tulu.prompt | 4 + ollama/templates/vicuna.prompt | 4 + ollama/templates/wizardlm.prompt | 2 + poetry.lock | 78 +++++- pyproject.toml | 1 + requirements.txt | 458 ++++--------------------------- template.py | 28 -- 16 files changed, 194 insertions(+), 440 deletions(-) create mode 100644 ollama/prompt.py create mode 100644 ollama/templates/alpaca.prompt create mode 100644 ollama/templates/gpt4.prompt create mode 100644 ollama/templates/hermes.prompt create mode 100644 ollama/templates/oasst.prompt create mode 100644 ollama/templates/orca.prompt create mode 100644 ollama/templates/qlora.prompt create mode 100644 ollama/templates/tulu.prompt create mode 100644 ollama/templates/vicuna.prompt create mode 100644 ollama/templates/wizardlm.prompt delete mode 100644 template.py diff --git a/ollama/cmd/cli.py b/ollama/cmd/cli.py index f79c218c..017d6d07 100644 --- a/ollama/cmd/cli.py +++ b/ollama/cmd/cli.py @@ -69,6 +69,7 @@ def generate_oneshot(*args, **kwargs): if len(choices) > 0: print(choices[0].get("text", ""), end="", flush=True) + # end with a new line print() diff --git a/ollama/engine.py b/ollama/engine.py index 4d80234f..7fefa109 100644 --- a/ollama/engine.py +++ b/ollama/engine.py @@ -3,9 +3,9 @@ import json import sys from contextlib import contextmanager from llama_cpp import Llama as LLM -from template import template import ollama.model +import ollama.prompt @contextmanager @@ -21,7 +21,7 @@ def suppress_stderr(): def generate(model, prompt, models_home=".", llms={}, *args, **kwargs): llm = load(model, models_home=models_home, llms=llms) - prompt = template(model, prompt) + prompt = ollama.prompt.template(model, prompt) if "max_tokens" not in kwargs: kwargs.update({"max_tokens": 16384}) @@ -43,12 +43,9 @@ def load(model, models_home=".", llms={}): name: path for name, path in ollama.model.models(models_home) }.get(model, None) - if model_path is None: + if not model_path: # try loading this as a path to a model, rather than a model name - if os.path.isfile(model): - model_path = model - else: - raise ValueError("Model not found") + model_path = model # suppress LLM's output with suppress_stderr(): diff --git a/ollama/prompt.py b/ollama/prompt.py new file mode 100644 index 00000000..437bc8c8 --- /dev/null +++ b/ollama/prompt.py @@ -0,0 +1,19 @@ +from os import path +from difflib import SequenceMatcher +from jinja2 import Environment, PackageLoader + + +def template(model, prompt): + best_ratio = 0 + best_template = '' + + environment = Environment(loader=PackageLoader(__name__, 'templates')) + for template in environment.list_templates(): + base, _ = path.splitext(template) + ratio = SequenceMatcher(None, model.lower(), base).ratio() + if ratio > best_ratio: + best_ratio = ratio + best_template = template + + template = environment.get_template(best_template) + return template.render(prompt=prompt) diff --git a/ollama/templates/alpaca.prompt b/ollama/templates/alpaca.prompt new file mode 100644 index 00000000..e875dd8b --- /dev/null +++ b/ollama/templates/alpaca.prompt @@ -0,0 +1,8 @@ +Below is an instruction that describes a task. Write a response that appropriately completes the request. + +### Instruction: +{{ prompt }} + +### Response: + + diff --git a/ollama/templates/gpt4.prompt b/ollama/templates/gpt4.prompt new file mode 100644 index 00000000..fd611936 --- /dev/null +++ b/ollama/templates/gpt4.prompt @@ -0,0 +1,5 @@ +### Instruction: +{{ prompt }} + +### Response: + diff --git a/ollama/templates/hermes.prompt b/ollama/templates/hermes.prompt new file mode 100644 index 00000000..fd611936 --- /dev/null +++ b/ollama/templates/hermes.prompt @@ -0,0 +1,5 @@ +### Instruction: +{{ prompt }} + +### Response: + diff --git a/ollama/templates/oasst.prompt b/ollama/templates/oasst.prompt new file mode 100644 index 00000000..c4f94382 --- /dev/null +++ b/ollama/templates/oasst.prompt @@ -0,0 +1 @@ +{{ prompt }} diff --git a/ollama/templates/orca.prompt b/ollama/templates/orca.prompt new file mode 100644 index 00000000..f9b5616e --- /dev/null +++ b/ollama/templates/orca.prompt @@ -0,0 +1,7 @@ +### System: +You are an AI assistant that follows instruction extremely well. Help as much as you can. + +### User: +{{ prompt }} + +### Response: diff --git a/ollama/templates/qlora.prompt b/ollama/templates/qlora.prompt new file mode 100644 index 00000000..ca6d4a5b --- /dev/null +++ b/ollama/templates/qlora.prompt @@ -0,0 +1,2 @@ +### Human: {{ prompt }} +### Assistant: diff --git a/ollama/templates/tulu.prompt b/ollama/templates/tulu.prompt new file mode 100644 index 00000000..09cfa1ad --- /dev/null +++ b/ollama/templates/tulu.prompt @@ -0,0 +1,4 @@ + +{{ prompt }} + + diff --git a/ollama/templates/vicuna.prompt b/ollama/templates/vicuna.prompt new file mode 100644 index 00000000..f4a6bc6c --- /dev/null +++ b/ollama/templates/vicuna.prompt @@ -0,0 +1,4 @@ +A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. + +USER: {{ prompt }} +ASSISTANT: diff --git a/ollama/templates/wizardlm.prompt b/ollama/templates/wizardlm.prompt new file mode 100644 index 00000000..66b76a10 --- /dev/null +++ b/ollama/templates/wizardlm.prompt @@ -0,0 +1,2 @@ +{{ prompt }} +### Response: diff --git a/poetry.lock b/poetry.lock index 9eabc319..261cda2e 100644 --- a/poetry.lock +++ b/poetry.lock @@ -422,6 +422,23 @@ docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alab qa = ["flake8 (==3.8.3)", "mypy (==0.782)"] testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"] +[[package]] +name = "jinja2" +version = "3.1.2" +description = "A very fast and expressive template engine." +optional = false +python-versions = ">=3.7" +files = [ + {file = "Jinja2-3.1.2-py3-none-any.whl", hash = "sha256:6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61"}, + {file = "Jinja2-3.1.2.tar.gz", 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fc2ebf0a..18464c15 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -10,6 +10,7 @@ scripts = {ollama = "ollama.cmd.cli:main"} [tool.poetry.dependencies] python = "^3.11" llama-cpp-python = "^0.1.66" +jinja2 = "^3.1.2" aiohttp = {version = "^3.8.4", optional = true} aiohttp-cors = {version = "^0.7.0", optional = true} diff --git a/requirements.txt b/requirements.txt index 6b533ecb..a07ad112 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,337 +1,62 @@ -aiohttp-cors==0.7.0 ; python_version >= "3.11" and python_version < "4.0" \ - --hash=sha256:0451ba59fdf6909d0e2cd21e4c0a43752bc0703d33fc78ae94d9d9321710193e \ - --hash=sha256:4d39c6d7100fd9764ed1caf8cebf0eb01bf5e3f24e2e073fda6234bc48b19f5d -aiohttp==3.8.4 ; python_version >= "3.11" and python_version < "4.0" \ - --hash=sha256:03543dcf98a6619254b409be2d22b51f21ec66272be4ebda7b04e6412e4b2e14 \ - --hash=sha256:03baa76b730e4e15a45f81dfe29a8d910314143414e528737f8589ec60cf7391 \ - 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Write a response that appropriately completes the request.\n\n### Instruction:\n{prompt}\n\n### Response:\n\n", - "gpt4": "### Instruction:\n{prompt}\n\n### Response:\n", - "hermes": "### Instruction:\n{prompt}\n\n### Response:\n", - "oasst": "{prompt}", - "orca": "### System:\nYou are an AI assistant that follows instruction extremely well. Help as much as you can.\n\n### User:\n{prompt}\n\n### Response:", - "qlora": "### Human: {prompt}\n### Assistant:", - "tulu": "\n{prompt}\n\n", - "vicuna": "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.\n\nUSER: {prompt}\nASSISTANT:", - "wizardlm": "{prompt}\n\n### Response:", -} - - -def template(model, prompt): - max_ratio = 0 - closest_key = "" - model_name = model.lower() - # Find the specialized prompt with the closest name match - for key in model_prompts.keys(): - ratio = SequenceMatcher(None, model_name, key).ratio() - if ratio > max_ratio: - max_ratio = ratio - closest_key = key - # Return the value of the closest match - p = model_prompts.get(closest_key) # TODO: provide a better default template - return p.format(prompt=prompt)