simplify loading
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3b4f45f6bf
commit
ecfb4abafb
5 changed files with 40 additions and 40 deletions
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@ -10,7 +10,7 @@ Install dependencies:
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pip install -r requirements.txt
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```
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Put your model in `models/` and run:
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Run a server:
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```
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python3 ollama.py serve
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@ -19,17 +19,18 @@ python3 ollama.py serve
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**Start frontend service:**
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Install dependencies:
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```
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cd desktop
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npm install
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```
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Run the UI:
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```
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npm start
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```
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## Building
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If using Apple silicon, you need a Python version that supports arm64:
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@ -57,3 +58,11 @@ python3 build.py
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cd desktop
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npm run package
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```
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## Update requirements.txt
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In the root directory, run:
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```
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pipreqs . --force
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```
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1
models/.gitignore
vendored
1
models/.gitignore
vendored
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@ -1 +0,0 @@
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*.bin
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@ -1,9 +0,0 @@
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Place models here for use.
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Here's some recommendations:
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https://huggingface.co/TheBloke/vicuna-7B-v1.3-GGML
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https://huggingface.co/TheBloke/orca_mini_3B-GGML/resolve/main/orca-mini-3b.ggmlv3.q4_1.bin
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https://huggingface.co/TheBloke/orca_mini_13B-GGML/resolve/main/orca-mini-13b.ggmlv3.q4_1.bin
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47
ollama.py
47
ollama.py
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@ -27,47 +27,46 @@ def models_directory():
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return models_dir
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def load(model=None, path=None):
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def load(model):
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"""
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Load a model.
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The model can be specified by providing either the path or the model name,
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but not both. If both are provided, this function will raise a ValueError.
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If the model does not exist or could not be loaded, this function returns an error.
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Args:
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model (str, optional): The name of the model to load.
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path (str, optional): The path to the model file.
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model (str): The name or path of the model to load.
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Returns:
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str or None: The name of the model
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dict or None: If the model cannot be loaded, a dictionary with an 'error' key is returned.
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If the model is successfully loaded, None is returned.
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"""
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with lock:
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if path is not None and model is not None:
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raise ValueError(
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"Both path and model are specified. Please provide only one of them."
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)
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elif path is not None:
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name = os.path.basename(path)
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load_from = ""
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if os.path.exists(model) and model.endswith(".bin"):
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# model is being referenced by path rather than name directly
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path = os.path.abspath(model)
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base = os.path.basename(path)
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load_from = path
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elif model is not None:
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name = model
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dir = models_directory()
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load_from = str(dir / f"{model}.bin")
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name = os.path.splitext(base)[0] # Split the filename and extension
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else:
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raise ValueError("Either path or model must be specified.")
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# model is being loaded from the ollama models directory
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dir = models_directory()
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# TODO: download model from a repository if it does not exist
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load_from = str(dir / f"{model}.bin")
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name = model
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if load_from == "":
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return None, {"error": "Model not found."}
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if not os.path.exists(load_from):
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return {"error": f"The model at {load_from} does not exist."}
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return None, {"error": f"The model {load_from} does not exist."}
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if name not in llms:
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# TODO: download model from a repository if it does not exist
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llms[name] = Llama(model_path=load_from)
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# TODO: this should start a persistent instance of ollama with the model loaded
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return None
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return name, None
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def unload(model):
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@ -84,10 +83,10 @@ def unload(model):
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def generate(model, prompt):
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# auto load
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error = load(model)
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name, error = load(model)
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if error is not None:
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return error
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generated = llms[model](
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generated = llms[name](
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str(prompt), # TODO: optimize prompt based on model
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max_tokens=4096,
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stop=["Q:", "\n"],
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@ -1,5 +1,7 @@
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click==8.1.3
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Flask==2.3.2
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flask_cors==3.0.10
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llama-cpp-python==0.1.65
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Flask_Cors==3.0.10
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llama_cpp_python==0.1.65
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pyinstaller==5.13.0
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pyinstaller-hooks-contrib==2023.3
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setuptools==65.6.3
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tqdm==4.65.0
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