mirror of https://github.com/InternLM/InternLM
fix lint
gaoyang07
parent
feeb3efbc5
commit
9e56989066
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@ -1 +1 @@
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Before Width: | Height: | Size: 4.3 KiB After Width: | Height: | Size: 4.3 KiB |
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|
||||
</svg>
|
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</svg>
|
||||
|
|
|
|||
|
Before Width: | Height: | Size: 18 KiB After Width: | Height: | Size: 18 KiB |
|
|
@ -12,10 +12,10 @@ Currently already supported LLMs: [InternLM2-Chat-7B](https://huggingface.co/int
|
|||
|
||||
We provide three different ways to run OpenAOE: `run by pip`， `run by docker` and `run by source code` as well.
|
||||
|
||||
### Run by pip
|
||||
### Run by pip
|
||||
#### **Install**
|
||||
```shell
|
||||
pip install -U openaoe
|
||||
pip install -U openaoe
|
||||
```
|
||||
#### **Start**
|
||||
```shell
|
||||
|
|
@ -65,7 +65,7 @@ python -m main -f /path/to/your/config-template.yaml
|
|||
```
|
||||
|
||||
> [!TIP]
|
||||
> `/path/to/your/config.yaml` is the configuration file loaded by OpenAOE at startup,
|
||||
> `/path/to/your/config.yaml` is the configuration file loaded by OpenAOE at startup,
|
||||
> which contains the relevant configuration information for the LLMs,
|
||||
> including: API URLs, AKSKs, Tokens, etc.
|
||||
> A template configuration yaml file can be found in `openaoe/backend/config/config.yaml`.
|
||||
|
|
|
|||
|
|
@ -17,7 +17,7 @@
|
|||
> 需要 python >= 3.9
|
||||
#### **安装**
|
||||
```shell
|
||||
pip install -U openaoe
|
||||
pip install -U openaoe
|
||||
```
|
||||
#### **运行**
|
||||
```shell
|
||||
|
|
@ -50,7 +50,7 @@ docker run -p 10099:10099 -v /path/to/your/config-template.yaml:/app/config-temp
|
|||
```shell
|
||||
git clone https://github.com/internlm/OpenAOE
|
||||
```
|
||||
2. [_可选_] （如果前端代码发生变动）重新构建前端项目
|
||||
2. [_可选_] （如果前端代码发生变动）重新构建前端项目
|
||||
```shell
|
||||
cd open-aoe/openaoe/frontend
|
||||
npm install
|
||||
|
|
|
|||
|
|
@ -11,11 +11,10 @@ from dataclasses import asdict
|
|||
|
||||
import streamlit as st
|
||||
import torch
|
||||
from tools.transformers.interface import GenerationConfig, generate_interactive
|
||||
from transformers import AutoModelForCausalLM, AutoTokenizer
|
||||
from transformers.utils import logging
|
||||
|
||||
from tools.transformers.interface import GenerationConfig, generate_interactive
|
||||
|
||||
logger = logging.get_logger(__name__)
|
||||
|
||||
|
||||
|
|
@ -109,9 +108,15 @@ def main():
|
|||
):
|
||||
# Display robot response in chat message container
|
||||
message_placeholder.markdown(cur_response + "▌")
|
||||
message_placeholder.markdown(cur_response)
|
||||
message_placeholder.markdown(cur_response) # pylint: disable=undefined-loop-variable
|
||||
# Add robot response to chat history
|
||||
st.session_state.messages.append({"role": "robot", "content": cur_response, "avatar": robot_avator})
|
||||
st.session_state.messages.append(
|
||||
{
|
||||
"role": "robot",
|
||||
"content": cur_response, # pylint: disable=undefined-loop-variable
|
||||
"avatar": robot_avator,
|
||||
}
|
||||
)
|
||||
torch.cuda.empty_cache()
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -38,5 +38,5 @@ We have evaluated InternLM2 on several important benchmarks using the open-sourc
|
|||
| MBPP(Sanitized) | 51.8 | 51.4 | 63.0 | 65.8 | 78.9 | 79.0 |
|
||||
|
||||
|
||||
- The evaluation results were obtained from [OpenCompass](https://github.com/open-compass/opencompass) , and evaluation configuration can be found in the configuration files provided by [OpenCompass](https://github.com/open-compass/opencompass).
|
||||
- The evaluation results were obtained from [OpenCompass](https://github.com/open-compass/opencompass) , and evaluation configuration can be found in the configuration files provided by [OpenCompass](https://github.com/open-compass/opencompass).
|
||||
- The evaluation data may have numerical differences due to the version iteration of [OpenCompass](https://github.com/open-compass/opencompass), so please refer to the latest evaluation results of [OpenCompass](https://github.com/open-compass/opencompass).
|
||||
|
|
|
|||
|
|
@ -38,5 +38,5 @@ We have evaluated InternLM2 on several important benchmarks using the open-sourc
|
|||
| MBPP(Sanitized) | 51.8 | 51.4 | 63.0 | 65.8 | 78.9 | 79.0 |
|
||||
|
||||
|
||||
- The evaluation results were obtained from [OpenCompass](https://github.com/open-compass/opencompass) , and evaluation configuration can be found in the configuration files provided by [OpenCompass](https://github.com/open-compass/opencompass).
|
||||
- The evaluation results were obtained from [OpenCompass](https://github.com/open-compass/opencompass) , and evaluation configuration can be found in the configuration files provided by [OpenCompass](https://github.com/open-compass/opencompass).
|
||||
- The evaluation data may have numerical differences due to the version iteration of [OpenCompass](https://github.com/open-compass/opencompass), so please refer to the latest evaluation results of [OpenCompass](https://github.com/open-compass/opencompass).
|
||||
|
|
|
|||
Loading…
Reference in New Issue