fix: issues of rename

Author: numb3r3

.github/workflows/docker-release.yml

@@ -32,7 +32,6 @@ jobs:
           echo "VCS_REF=$VCS_REF" >> $GITHUB_ENV
           echo "Will build $VCS_REF"
           echo "BUILD_DATE=$(date -u +'%Y-%m-%dT%H:%M:%SZ')" >> $GITHUB_ENV
-          echo "BUILD_TARGET=clip_executor" >> $GITHUB_ENV
         
           VERSION=$(sed -n '/^__version__ = /p' ./run_gpt/__init__.py | cut -d \' -f2)
           V_VERSION=v${VERSION}

Dockerfiles/executor.Dockerfile

@@ -8,16 +8,16 @@ FROM mosaicml/pytorch:${TORCH_VERSION}_cu${CUDA_VERSION}-python3.10-ubuntu20.04
 ENV DEBIAN_FRONTEND=noninteractive LANG=en_US.UTF-8 LC_ALL=en_US.UTF-8
 
 # copy will almost always invalid the cache
-COPY . /open_gpt/
-WORKDIR /open_gpt
+COPY . /run_gpt/
+WORKDIR /run_gpt
 
 RUN python3 -m pip install jina==3.18.0
 RUN python3 -m pip install -e .
 
 RUN echo -e "\
 jtype: CausualLMExecutor\n\
 py_modules:\n\
-  - open_gpt.serve.executors\n\
+  - run_gpt.serve.executors\n\
 " > config.yml
 
 ENTRYPOINT ["jina", "executor", "--uses", "config.yml", "--timeout-ready", "3600000"]

Dockerfiles/gateway.Dockerfile

@@ -1,15 +1,15 @@
 FROM jinaai/jina:3.18.0-py310-standard
 
-COPY . /open_gpt/
-WORKDIR /open_gpt
+COPY . /run_gpt/
+WORKDIR /run_gpt
 
 RUN python3 -m pip install -e .
 
 
 RUN echo "\
 !Gateway\n\
 py_modules:\n\
-  - open_gpt.serve.gateway\n\
+  - run_gpt.serve.gateway\n\
 " > config.yml
 
 

README.md

@@ -14,25 +14,23 @@
 [![PyPI](https://img.shields.io/pypi/v/run_gpt_torch)](https://pypi.org/project/run_gpt_torch/)
 [![PyPI - License](https://img.shields.io/pypi/l/run_gpt_torch)](https://pypi.org/project/run_gpt_torch/)
 
-**RunGPT** is an open-source _cloud-native_ large-scale **_multimodal models_** (LMMs) serving framework. 
+**RunGPT** is an open-source _cloud-native_ **_large-scale language models_** (LLMs) serving framework. 
 It is designed to simplify the deployment and management of large language models, on a distributed cluster of GPUs.
-We aim to make it a one-stop solution for a centralized and accessible place to gather techniques for optimizing large-scale multimodal models and make them easy to use for everyone.
+We aim to make it a one-stop solution for a centralized and accessible place to gather techniques for optimizing LLM and make them easy to use for everyone.
 
 
 ## Table of contents
 
 - [Features](#features)
-- [Supported models](#supported-models)
 - [Get started](#get-started)
 - [Build a model serving in one line](#build-a-model-serving-in-one-line)
 - [Cloud-native deployment](#cloud-native-deployment)
 - [Roadmap](#roadmap)
 
 ## Features
 
-RunGPT provides the following features to make it easy to deploy and serve **large multi-modal models** (LMMs) at scale:
+RunGPT provides the following features to make it easy to deploy and serve **large language models** (LLMs) at scale:
 
-- Support for multi-modal models on top of large language models
 - Scalable architecture for handling high traffic loads
 - Optimized for low-latency inference
 - Automatic model partitioning and distribution across multiple GPUs
@@ -41,35 +39,9 @@ RunGPT provides the following features to make it easy to deploy and serve **lar
 
 ## Updates
 
-- **2023-05-12**: 🎉We have released the first version `v0.0.1` of RunGPT. You can install it with `pip install run_gpt_torch`.
+- **2023-08-22**: The OpenGPT is now renamed to RunGPT. We have also released the first version `v0.1.0` of RunGPT. You can install it with `pip install rungpt`.
+- **2023-05-12**: 🎉We have released the first version `v0.0.1` of OpenGPT. You can install it with `pip install open_gpt_torch`.
 
-## Supported Models
-
-<details>
-
-RunGPT supports the following models out of the box:
-
-- LLM (Large Language Model)
-
-  - [LLaMA](https://ai.facebook.com/blog/large-language-model-llama-meta-ai/): open and efficient foundation language models by Meta
-  - [Pythia](https://github.com/EleutherAI/pythia): a collection of models developed to facilitate interpretability research by EleutherAI
-  - [StableLM](https://github.com/Stability-AI/StableLM): series of large language models by Stability AI
-  - [Vicuna](https://vicuna.lmsys.org/): a chat assistant fine-tuned from LLaMA on user-shared conversations by LMSYS
-  - [MOSS](https://txsun1997.github.io/blogs/moss.html): conversational language model from Fudan University
-
-- LMM (Large Multi-modal Model)
-
-  - [OpenFlamingo](https://github.com/mlfoundations/open_flamingo): an open source version of DeepMind's [Flamingo](https://www.deepmind.com/blog/tackling-multiple-tasks-with-a-single-visual-language-model) model
-  - [MiniGPT-4](https://minigpt-4.github.io/): aligns a frozen visual encoder with a frozen LLM, Vicuna, using just one projection layer. 
-
-For more details about the supported models, please see the [Model Zoo](./MODEL_ZOO.md).
-
-</details>
-
-
-## Roadmap
-
-You can view our roadmap with features that are planned, started, and completed on the [Roadmap discussion](https://github.com/jina-ai/rungpt/discussions/categories/roadmap) category.
 
 ## Get Started
 
@@ -78,7 +50,7 @@ You can view our roadmap with features that are planned, started, and completed
 Install the package with `pip`:
 
 ```bash
-pip install run_gpt_torch
+pip install rungpt
 ```
 
 ### Quickstart
@@ -269,8 +241,8 @@ dictionaries which contain role and content. For example:
 import requests
 
 messages = [
-          {"role": "user", "content": "Hello!"},
-      ]
+    {"role": "user", "content": "Hello!"},
+]
 
 response = requests.post(
     "http://localhost:51000/chat",
@@ -626,4 +598,4 @@ We welcome contributions from the community! To contribute, please submit a pull
 
 ## License
 
-Rungpt is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.
+RunGPT is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.

setup.py

@@ -7,7 +7,7 @@
     raise OSError(f'RunGPT requires Python >=3.8, but yours is {sys.version}')
 
 try:
-    pkg_name = 'run-gpt-torch'
+    pkg_name = 'rungpt'
     libinfo_py = path.join(path.dirname(__file__), 'run_gpt', '__init__.py')
     libinfo_content = open(libinfo_py, 'r', encoding='utf8').readlines()
     version_line = [l.strip() for l in libinfo_content if l.startswith('__version__')][
@@ -84,7 +84,6 @@
         "Topic :: Software Development :: Libraries :: Python Modules",
     ],
     project_urls={
-        'Documentation': 'https://rungpt.jina.ai',
         'Source': 'https://github.com/jina-ai/rungpt/',
         'Tracker': 'https://github.com/jina-ai/rungpt/issues',
     },
@@ -94,7 +93,6 @@
         "large-language-model",
         "GPT",
         "LLM",
-        "multi-modality",
         "cloud-native",
         "model-serving",
         "model-inference",