| Name | llama-rs-python JSON |
| Version |
0.0.2
JSON |
| download |
| home_page | None |
| Summary | Unofficial python bindings for llama-rs. 🐍❤️🦀 |
| upload_time | 2023-04-19 10:35:16 |
| maintainer | None |
| docs_url | None |
| author | Lukas Kreussel |
| requires_python | >=3.7 |
| license | None |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# llama-rs-python
Unofficial python bindings for [llama-rs](https://github.com/rustformers/llama-rs) created with [PyO3](https://github.com/PyO3/pyo3). 🐍❤️🦀
This package gives access to the basic functionality of the llama-rs project.
GGML converted models can be loaded and executed.
## Installation
Simply install it via pip: `pip install llama-rs-python`
## Usage
The package is typehinted for easy usage.
A usage example could look like this:
```python
from llama_rs_python import Model
#load the model
model = Model("path/to/model.bin")
#generate
print(model.generate("The meaning of life is"))
```
The package also supports callbacks to get each token as it is generated.
The callback-function also supports canceling the generation by returning a `True` value from the pytohn side.
```python
from llama_rs_python import Model
import sys
from typing import Optional
#load the model
model = Model("path/to/model.bin")
#define the callback
def callback(token:str)->Optional[bool]:
print(token,end="")
sys.stdout.flush()
# (return True here to cancel the generation)
#start generation
model.generate("The meaning of life is",callback=callback)
```
The configuration of the generation is handled by the `GenerationConfig` class.
```python
from llama_rs_python import Model, GenerationConfig
#load the model
model = Model("path/to/model.bin")
#create a config
config = GenerationConfig(top_p=0.9,seed=1441,max_new_tokens=1024)
#generate
print(model.generate("The meaning of life is",generation_config=config))
```
To configure model specific settings the `SessionConfig` class can be used.
```python
from llama_rs_python import Model, SessionConfig
#define the session
session_config = SessionConfig(threads=8,context_length=512)
#load the model
model = Model("path/to/model.bin",session_config=session_config)
```
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"description": "# llama-rs-python\nUnofficial python bindings for [llama-rs](https://github.com/rustformers/llama-rs) created with [PyO3](https://github.com/PyO3/pyo3). \ud83d\udc0d\u2764\ufe0f\ud83e\udd80\n\nThis package gives access to the basic functionality of the llama-rs project.\n\nGGML converted models can be loaded and executed.\n\n## Installation\n\nSimply install it via pip: `pip install llama-rs-python`\n\n## Usage\n\nThe package is typehinted for easy usage.\n\nA usage example could look like this:\n\n```python \nfrom llama_rs_python import Model\n\n#load the model\nmodel = Model(\"path/to/model.bin\")\n\n#generate\nprint(model.generate(\"The meaning of life is\"))\n```\n\nThe package also supports callbacks to get each token as it is generated.\nThe callback-function also supports canceling the generation by returning a `True` value from the pytohn side.\n\n```python \nfrom llama_rs_python import Model\nimport sys\nfrom typing import Optional\n\n#load the model\nmodel = Model(\"path/to/model.bin\")\n\n#define the callback\ndef callback(token:str)->Optional[bool]:\n print(token,end=\"\")\n sys.stdout.flush()\n # (return True here to cancel the generation)\n\n#start generation\nmodel.generate(\"The meaning of life is\",callback=callback)\n```\n\nThe configuration of the generation is handled by the `GenerationConfig` class.\n\n```python \nfrom llama_rs_python import Model, GenerationConfig\n\n#load the model\nmodel = Model(\"path/to/model.bin\")\n\n#create a config\nconfig = GenerationConfig(top_p=0.9,seed=1441,max_new_tokens=1024)\n\n#generate\nprint(model.generate(\"The meaning of life is\",generation_config=config))\n```\n\nTo configure model specific settings the `SessionConfig` class can be used.\n\n```python\nfrom llama_rs_python import Model, SessionConfig\n\n#define the session\nsession_config = SessionConfig(threads=8,context_length=512)\n\n#load the model\nmodel = Model(\"path/to/model.bin\",session_config=session_config)\n```\n",
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