From 4d0eb7639a7cce127572d669ef12126ff1dab3bf Mon Sep 17 00:00:00 2001 From: Michael Yang Date: Wed, 28 Jun 2023 17:25:24 -0700 Subject: [PATCH] use ctransformers as backup to llama-cpp --- ollama/engine.py | 120 ++++++-- ollama/templates/falcon.prompt | 3 + ollama/templates/mpt.prompt | 4 + ollama/templates/ultralm.prompt | 2 + ollama/templates/wizardcoder.prompt | 5 + poetry.lock | 417 +++++++++++++++++++++++++++- pyproject.toml | 4 +- requirements.txt | 273 +++++++++++++++++- 8 files changed, 791 insertions(+), 37 deletions(-) create mode 100644 ollama/templates/falcon.prompt create mode 100644 ollama/templates/mpt.prompt create mode 100644 ollama/templates/ultralm.prompt create mode 100644 ollama/templates/wizardcoder.prompt diff --git a/ollama/engine.py b/ollama/engine.py index aa82336f..89bdfe8e 100644 --- a/ollama/engine.py +++ b/ollama/engine.py @@ -2,58 +2,120 @@ import os import sys from os import path from contextlib import contextmanager -from llama_cpp import Llama as LLM +from fuzzywuzzy import process +from llama_cpp import Llama +from ctransformers import AutoModelForCausalLM import ollama.prompt from ollama.model import models_home @contextmanager -def suppress_stderr(): - stderr = os.dup(sys.stderr.fileno()) +def suppress(file): + original = os.dup(file.fileno()) with open(os.devnull, "w") as devnull: - os.dup2(devnull.fileno(), sys.stderr.fileno()) + os.dup2(devnull.fileno(), file.fileno()) yield - os.dup2(stderr, sys.stderr.fileno()) + os.dup2(original, file.fileno()) def generate(model_name, prompt, models={}, *args, **kwargs): - if "max_tokens" not in kwargs: - kwargs.update({"max_tokens": 16384}) - - if "stop" not in kwargs: - kwargs.update({"stop": ["Q:"]}) - - if "stream" not in kwargs: - kwargs.update({"stream": True}) - - prompt = ollama.prompt.template(model_name, prompt) - model = load(model_name, models=models) - for output in model.create_completion(prompt, *args, **kwargs): - yield output + inputs = ollama.prompt.template(model_name, prompt) + return model.generate(inputs, *args, **kwargs) def load(model_name, models={}): - model = models.get(model_name, None) - if not model: + if not models.get(model_name, None): model_path = path.expanduser(model_name) if not path.exists(model_path): model_path = path.join(models_home, model_name + ".bin") - try: - # suppress LLM's output - with suppress_stderr(): - model = LLM(model_path, verbose=False) - models.update({model_name: model}) - except Exception: - # e is sent to devnull, so create a generic exception - raise Exception(f"Failed to load model: {model}") + runners = { + model_type: cls + for cls in [LlamaCppRunner, CtransformerRunner] + for model_type in cls.model_types() + } - return model + best_match, _ = process.extractOne(model_path, runners.keys()) + model = runners.get(best_match, LlamaCppRunner) + + models.update({model_name: model(model_path, best_match)}) + + return models.get(model_name) def unload(model_name, models={}): if model_name in models: models.pop(model_name) + + +class LlamaCppRunner: + + def __init__(self, model_path, model_type): + try: + with suppress(sys.stderr), suppress(sys.stdout): + self.model = Llama(model_path, + verbose=False, + n_gpu_layers=1, + seed=-1) + except Exception: + raise Exception("Failed to load model", model_path, model_type) + + @staticmethod + def model_types(): + return [ + 'llama', + 'orca', + 'vicuna', + 'ultralm', + ] + + def generate(self, prompt, *args, **kwargs): + if "max_tokens" not in kwargs: + kwargs.update({"max_tokens": 512}) + + if "stop" not in kwargs: + kwargs.update({"stop": ["Q:"]}) + + if "stream" not in kwargs: + kwargs.update({"stream": True}) + + with suppress(sys.stderr): + for output in self.model(prompt, *args, **kwargs): + yield output + + +class CtransformerRunner: + + def __init__(self, model_path, model_type): + self.model = AutoModelForCausalLM.from_pretrained( + model_path, model_type=model_type, local_files_only=True) + + @staticmethod + def model_types(): + return [ + 'falcon', + 'mpt', + 'starcoder', + ] + + def generate(self, prompt, *args, **kwargs): + if "max_new_tokens" not in kwargs: + kwargs.update({"max_new_tokens": 512}) + + if "stop" not in kwargs: + kwargs.update({"stop": ["User"]}) + + if "stream" not in kwargs: + kwargs.update({"stream": True}) + + for output in self.model(prompt, *args, **kwargs): + yield { + 'choices': [ + { + 'text': output, + }, + ], + } diff --git a/ollama/templates/falcon.prompt b/ollama/templates/falcon.prompt new file mode 100644 index 00000000..a16fedd9 --- /dev/null +++ b/ollama/templates/falcon.prompt @@ -0,0 +1,3 @@ +A helpful assistant who helps the user with any questions asked. +User: {{ prompt }} +Assistant: diff --git a/ollama/templates/mpt.prompt b/ollama/templates/mpt.prompt new file mode 100644 index 00000000..3bbc09fc --- /dev/null +++ b/ollama/templates/mpt.prompt @@ -0,0 +1,4 @@ +Below is an instruction that describes a task. Write a response that appropriately completes the request. Be concise. Once the request is completed, include no other text. +### Instruction: +{{ prompt }} +### Response: diff --git a/ollama/templates/ultralm.prompt b/ollama/templates/ultralm.prompt new file mode 100644 index 00000000..a1d9ebac --- /dev/null +++ b/ollama/templates/ultralm.prompt @@ -0,0 +1,2 @@ +USER: {{ prompt }} +ASSISTANT: diff --git a/ollama/templates/wizardcoder.prompt b/ollama/templates/wizardcoder.prompt new file mode 100644 index 00000000..ab3dcdab --- /dev/null +++ b/ollama/templates/wizardcoder.prompt @@ -0,0 +1,5 @@ +Below is an instruction that describes a task. Write a response that appropriately completes the request + +### Instruction: {{ prompt }} + +### Response: diff --git a/poetry.lock b/poetry.lock index 50a2e62a..ccf07a8a 100644 --- a/poetry.lock +++ b/poetry.lock @@ -271,6 +271,23 @@ files = [ {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, ] +[[package]] +name = "ctransformers" +version = "0.2.10" +description = "Python bindings for the Transformer models implemented in C/C++ using GGML library." +optional = false +python-versions = "*" +files = [ + {file = "ctransformers-0.2.10-py3-none-any.whl", hash = "sha256:912a80859bd252e2a389b4716d44b0663657148a85fbfbe6c5503a7ee69fd235"}, + {file = "ctransformers-0.2.10.tar.gz", hash = "sha256:d82a299690f1494fe93db136f71b1b9b2cd4ada535e2afa07aaee1d180117a2d"}, +] + +[package.dependencies] +huggingface-hub = "*" + +[package.extras] +tests = ["pytest"] + [[package]] name = "decorator" version = "5.1.1" @@ -293,6 +310,21 @@ 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--hash=sha256:ef6c38040d868dcc0132fad377aafeb5b2da71354759e77f41ae599316df2dee \ + --hash=sha256:f1e23665be5918f979180130babedab9317fbb34cdae237c7defad7e86bc684e \ + --hash=sha256:f25d1975e846d07990cf946a5927a932aa7cccd308ae9979b03a58ff1cd80087 \ + --hash=sha256:f7acc5c9c7cf567372de5b6c817f93db508e7b9bd7f29bd6187df8d2cc60ced5 \ + --hash=sha256:fb7049dff52cded65184a3d2ff45cfd226bff7314f49a8f4b83f943eea9181a7 \ + --hash=sha256:fdd2ab5ab56fcaf839a9f58caa8756dbfeba0b3dc187850b763d0a1e6ee9c97a requests==2.31.0 ; python_version >= "3.8" and python_version < "4.0" \ --hash=sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f \ --hash=sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1 +termcolor==2.3.0 ; python_version >= "3.8" and python_version < "4.0" \ + --hash=sha256:3afb05607b89aed0ffe25202399ee0867ad4d3cb4180d98aaf8eefa6a5f7d475 \ + --hash=sha256:b5b08f68937f138fe92f6c089b99f1e2da0ae56c52b78bf7075fd95420fd9a5a tqdm==4.65.0 ; python_version >= "3.8" and python_version < "4.0" \ --hash=sha256:1871fb68a86b8fb3b59ca4cdd3dcccbc7e6d613eeed31f4c332531977b89beb5 \ --hash=sha256:c4f53a17fe37e132815abceec022631be8ffe1b9381c2e6e30aa70edc99e9671 @@ -433,6 +697,8 @@ typing-extensions==4.7.0 ; python_version >= "3.8" and python_version < "4.0" \ urllib3==2.0.3 ; python_version >= "3.8" and python_version < "4.0" \ --hash=sha256:48e7fafa40319d358848e1bc6809b208340fafe2096f1725d05d67443d0483d1 \ --hash=sha256:bee28b5e56addb8226c96f7f13ac28cb4c301dd5ea8a6ca179c0b9835e032825 +validators==0.20.0 ; python_version >= "3.8" and python_version < "4.0" \ + --hash=sha256:24148ce4e64100a2d5e267233e23e7afeb55316b47d30faae7eb6e7292bc226a yarl==1.9.2 ; python_version >= "3.8" and python_version < "4.0" \ --hash=sha256:04ab9d4b9f587c06d801c2abfe9317b77cdf996c65a90d5e84ecc45010823571 \ --hash=sha256:066c163aec9d3d073dc9ffe5dd3ad05069bcb03fcaab8d221290ba99f9f69ee3 \ @@ -508,3 +774,6 @@ yarl==1.9.2 ; python_version >= "3.8" and python_version < "4.0" \ 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