| Name | pygptj JSON |
| Version |
2.0.3
JSON |
| download |
| home_page | |
| Summary | Python bindings for the GGML GPT-J Laguage model |
| upload_time | 2023-05-03 04:43:57 |
| maintainer | |
| docs_url | None |
| author | Abdeladim Sadiki |
| requires_python | >=3.8 |
| license | MIT |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# PyGPT-J
* Python bindings for GPT-J [ggml](https://github.com/ggerganov/ggml) language models.
* Almost the same API as [pyllamacpp](https://github.com/abdeladim-s/pyllamacpp).
[](https://opensource.org/licenses/MIT)
[](https://pypi.org/project/pygptj/)
# Table of contents
<!-- TOC -->
* [Installation](#installation)
* [CLI](#cli)
* [Tutorial](#tutorial)
* [Quick start](#quick-start)
* [Interactive Dialogue](#interactive-dialogue)
* [Attribute a persona to the language model](#attribute-a-persona-to-the-language-model)
* [API reference](#api-reference)
* [License](#license)
<!-- TOC -->
# Installation
1. The easy way is to use the prebuilt wheels
```bash
pip install pygptj
```
2. Build from source:
```shell
git clone git+https://github.com/abdeladim-s/pygptj.git
```
# CLI
You can run the following simple command line interface to test the package once it is installed:
```shell
pygtj path/to/ggml/model
```
# Tutorial
### Quick start
```python
from pygptj.model import Model
model = Model(model_path='path/to/gptj/ggml/model')
for token in model.generate("Tell me a joke ?"):
print(token, end='', flush=True)
```
### Interactive Dialogue
You can set up an interactive dialogue by simply keeping the `model` variable alive:
```python
from pygptj.model import Model
model = Model(model_path='/path/to/ggml/model')
while True:
try:
prompt = input("You: ", flush=True)
if prompt == '':
continue
print(f"AI:", end='')
for token in model.generate(prompt):
print(f"{token}", end='', flush=True)
print()
except KeyboardInterrupt:
break
```
### Attribute a persona to the language model
The following is an example showing how to _"attribute a persona to the language model"_ :
```python
from pygptj.model import Model
prompt_context = """Act as Bob. Bob is helpful, kind, honest,
and never fails to answer the User's requests immediately and with precision.
User: Nice to meet you Bob!
Bob: Welcome! I'm here to assist you with anything you need. What can I do for you today?
"""
prompt_prefix = "\nUser:"
prompt_suffix = "\nBob:"
model = Model(model_path='/path/to/ggml/model',
prompt_context=prompt_context,
prompt_prefix=prompt_prefix,
prompt_suffix=prompt_suffix)
while True:
try:
prompt = input("User: ")
if prompt == '':
continue
print(f"Bob: ", end='')
for token in model.generate(prompt, antiprompt='User:'):
print(f"{token}", end='', flush=True)
print()
except KeyboardInterrupt:
break
```
* You can always refer to the [short documentation](https://nomic-ai.github.io/pygptj/) for more details.
# API reference
You can check the [API reference documentation](https://abdeladim-s.github.io/pygptj/) for more details.
# License
This project is licensed under the MIT [License](./LICENSE).
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"description": "# PyGPT-J\n* Python bindings for GPT-J [ggml](https://github.com/ggerganov/ggml) language models.\n* Almost the same API as [pyllamacpp](https://github.com/abdeladim-s/pyllamacpp).\n\n[](https://opensource.org/licenses/MIT)\n[](https://pypi.org/project/pygptj/)\n\n# Table of contents\n<!-- TOC -->\n* [Installation](#installation)\n* [CLI](#cli)\n* [Tutorial](#tutorial)\n * [Quick start](#quick-start)\n * [Interactive Dialogue](#interactive-dialogue)\n * [Attribute a persona to the language model](#attribute-a-persona-to-the-language-model)\n* [API reference](#api-reference)\n* [License](#license)\n<!-- TOC -->\n\n# Installation\n1. The easy way is to use the prebuilt wheels\n```bash\npip install pygptj\n```\n\n2. Build from source:\n\n```shell\ngit clone git+https://github.com/abdeladim-s/pygptj.git\n```\n\n# CLI \n\nYou can run the following simple command line interface to test the package once it is installed:\n\n```shell\npygtj path/to/ggml/model\n```\n\n# Tutorial\n\n### Quick start\n\n```python\nfrom pygptj.model import Model\n\nmodel = Model(model_path='path/to/gptj/ggml/model')\nfor token in model.generate(\"Tell me a joke ?\"):\n print(token, end='', flush=True)\n```\n\n### Interactive Dialogue\nYou can set up an interactive dialogue by simply keeping the `model` variable alive:\n\n```python\nfrom pygptj.model import Model\n\nmodel = Model(model_path='/path/to/ggml/model')\nwhile True:\n try:\n prompt = input(\"You: \", flush=True)\n if prompt == '':\n continue\n print(f\"AI:\", end='')\n for token in model.generate(prompt):\n print(f\"{token}\", end='', flush=True)\n print()\n except KeyboardInterrupt:\n break\n```\n### Attribute a persona to the language model\n\nThe following is an example showing how to _\"attribute a persona to the language model\"_ :\n\n```python\nfrom pygptj.model import Model\n\nprompt_context = \"\"\"Act as Bob. Bob is helpful, kind, honest,\nand never fails to answer the User's requests immediately and with precision. \n\nUser: Nice to meet you Bob!\nBob: Welcome! I'm here to assist you with anything you need. What can I do for you today?\n\"\"\"\n\nprompt_prefix = \"\\nUser:\"\nprompt_suffix = \"\\nBob:\"\n\nmodel = Model(model_path='/path/to/ggml/model',\n prompt_context=prompt_context,\n prompt_prefix=prompt_prefix,\n prompt_suffix=prompt_suffix)\n\nwhile True:\n try:\n prompt = input(\"User: \")\n if prompt == '':\n continue\n print(f\"Bob: \", end='')\n for token in model.generate(prompt, antiprompt='User:'):\n print(f\"{token}\", end='', flush=True)\n print()\n except KeyboardInterrupt:\n break\n```\n\n* You can always refer to the [short documentation](https://nomic-ai.github.io/pygptj/) for more details.\n\n\n# API reference\nYou can check the [API reference documentation](https://abdeladim-s.github.io/pygptj/) for more details.\n\n# License\n\nThis project is licensed under the MIT [License](./LICENSE).\n\n",
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