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RangiLyu 2024-08-05 08:30:43 +00:00
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README.md
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@ -46,7 +46,7 @@ InternLM2.5 series are released with the following features:
## News ## News
\[2024.08.01\] We release InternLM2.5-1.8B, InternLM2.5-1.8B-Chat, InternLM2.5-20B and InternLM2.5-20B. See [model zoo below](#model-zoo) for download or [model cards](./model_cards/) for more details. \[2024.08.01\] We release InternLM2.5-1.8B, InternLM2.5-1.8B-Chat, InternLM2.5-20B and InternLM2.5-20B-Chat. See [model zoo below](#model-zoo) for download or [model cards](./model_cards/) for more details.
\[2024.07.19\] We release the InternLM2-Reward series of reward models in 1.8B, 7B and 20B sizes. See [model zoo below](#model-zoo) for download or [model cards](./model_cards/internlm2_reward.md) for more details. \[2024.07.19\] We release the InternLM2-Reward series of reward models in 1.8B, 7B and 20B sizes. See [model zoo below](#model-zoo) for download or [model cards](./model_cards/internlm2_reward.md) for more details.
@ -70,13 +70,13 @@ InternLM2.5 series are released with the following features:
| Model | Transformers(HF) | ModelScope(HF) | OpenXLab(HF) | OpenXLab(Origin) | Release Date | | Model | Transformers(HF) | ModelScope(HF) | OpenXLab(HF) | OpenXLab(Origin) | Release Date |
| -------------------------- | ------------------------------------------ | ---------------------------------------- | -------------------------------------- | ------------------------------------------ | ------------ | | -------------------------- | ------------------------------------------ | ---------------------------------------- | -------------------------------------- | ------------------------------------------ | ------------ |
| **InternLM2.5-1.8B** | [🤗internlm2_5-1_8b](https://huggingface.co/internlm/internlm2_5-1_8b) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-1_8b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-1_8b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b-original) | 2024-08-01 | | **InternLM2.5-1.8B** | [🤗internlm2_5-1_8b](https://huggingface.co/internlm/internlm2_5-1_8b) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-1_8b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-1_8b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b-original) | 2024-08-05 |
| **InternLM2.5-1.8B-Chat** | [🤗internlm2_5-1_8b-chat](https://huggingface.co/internlm/internlm2_5-1_8b-chat) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-7b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-1_8b-chat/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b-chat) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b-chat-original) | 2024-08-01 | | **InternLM2.5-1.8B-Chat** | [🤗internlm2_5-1_8b-chat](https://huggingface.co/internlm/internlm2_5-1_8b-chat) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-1_8b-chat](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-1_8b-chat/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b-chat) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b-chat-original) | 2024-08-05 |
| **InternLM2.5-7B** | [🤗internlm2_5-7b](https://huggingface.co/internlm/internlm2_5-7b) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-7b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-7b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-original) | 2024-07-03 | | **InternLM2.5-7B** | [🤗internlm2_5-7b](https://huggingface.co/internlm/internlm2_5-7b) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-7b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-7b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-original) | 2024-07-03 |
| **InternLM2.5-7B-Chat** | [🤗internlm2_5-7b-chat](https://huggingface.co/internlm/internlm2_5-7b-chat) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-7b-chat](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-7b-chat/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-chat) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-chat-original) | 2024-07-03 | | **InternLM2.5-7B-Chat** | [🤗internlm2_5-7b-chat](https://huggingface.co/internlm/internlm2_5-7b-chat) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-7b-chat](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-7b-chat/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-chat) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-chat-original) | 2024-07-03 |
| **InternLM2.5-7B-Chat-1M** | [🤗internlm2_5-7b-chat-1m](https://huggingface.co/internlm/internlm2_5-7b-chat-1m) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-7b-chat-1m](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-7b-chat-1m/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-chat-1m) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-chat-1m-original) | 2024-07-03 | | **InternLM2.5-7B-Chat-1M** | [🤗internlm2_5-7b-chat-1m](https://huggingface.co/internlm/internlm2_5-7b-chat-1m) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-7b-chat-1m](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-7b-chat-1m/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-chat-1m) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-chat-1m-original) | 2024-07-03 |
| **InternLM2.5-20B** | [🤗internlm2_5-20b](https://huggingface.co/internlm/internlm2_5-20b) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-20b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-20b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b-original) | 2024-08-01 | | **InternLM2.5-20B** | [🤗internlm2_5-20b](https://huggingface.co/internlm/internlm2_5-20b) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-20b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-20b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b-original) | 2024-08-05 |
| **InternLM2.5-20B-Chat** | [🤗internlm2_5-20b-chat](https://huggingface.co/internlm/internlm2_5-20b-chat) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-7b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-20b-chat/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b-chat) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b-chat-original) | 2024-08-01 | | **InternLM2.5-20B-Chat** | [🤗internlm2_5-20b-chat](https://huggingface.co/internlm/internlm2_5-20b-chat) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-20b-chat](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-20b-chat/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b-chat) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b-chat-original) | 2024-08-05 |
**Notes:** **Notes:**

10
README_zh-CN.md
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@ -44,7 +44,7 @@ InternLM2.5 系列模型在本仓库正式发布，具有如下特性：
## 更新 ## 更新
\[2024.08.01\] 我们发布了 InternLM2.5-1.8B、InternLM2.5-1.8B-Chat、InternLM2.5-20B 和 InternLM2.5-20B。可以在下方的 [模型库](#model-zoo) 进行下载，或者在 [model cards](./model_cards/) 中了解更多细节。 \[2024.08.01\] 我们发布了 InternLM2.5-1.8B、InternLM2.5-1.8B-Chat、InternLM2.5-20B 和 InternLM2.5-20B-Chat。可以在下方的 [模型库](#model-zoo) 进行下载，或者在 [model cards](./model_cards/) 中了解更多细节。
\[2024.07.19\] 我们发布了 1.8B、7B 和 20B 大小的 InternLM2-Reward 系列奖励模型。可以在下方的 [模型库](#model-zoo) 进行下载，或者在 [model cards](./model_cards/internlm2_reward.md) 中了解更多细节。 \[2024.07.19\] 我们发布了 1.8B、7B 和 20B 大小的 InternLM2-Reward 系列奖励模型。可以在下方的 [模型库](#model-zoo) 进行下载，或者在 [model cards](./model_cards/internlm2_reward.md) 中了解更多细节。
@ -68,13 +68,13 @@ InternLM2.5 系列模型在本仓库正式发布，具有如下特性：
| Model | Transformers(HF) | ModelScope(HF) | OpenXLab(HF) | OpenXLab(Origin) | Release Date | | Model | Transformers(HF) | ModelScope(HF) | OpenXLab(HF) | OpenXLab(Origin) | Release Date |
| -------------------------- | ------------------------------------------ | ---------------------------------------- | -------------------------------------- | ------------------------------------------ | ------------ | | -------------------------- | ------------------------------------------ | ---------------------------------------- | -------------------------------------- | ------------------------------------------ | ------------ |
| **InternLM2.5-1.8B** | [🤗internlm2_5-1_8b](https://huggingface.co/internlm/internlm2_5-1_8b) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-1_8b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-1_8b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b-original) | 2024-08-01 | | **InternLM2.5-1.8B** | [🤗internlm2_5-1_8b](https://huggingface.co/internlm/internlm2_5-1_8b) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-1_8b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-1_8b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b-original) | 2024-08-05 |
| **InternLM2.5-1.8B-Chat** | [🤗internlm2_5-1_8b-chat](https://huggingface.co/internlm/internlm2_5-1_8b-chat) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-7b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-1_8b-chat/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b-chat) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b-chat-original) | 2024-08-01 | | **InternLM2.5-1.8B-Chat** | [🤗internlm2_5-1_8b-chat](https://huggingface.co/internlm/internlm2_5-1_8b-chat) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-1_8b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-1_8b-chat/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b-chat) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b-chat-original) | 2024-08-05 |
| **InternLM2.5-7B** | [🤗internlm2_5-7b](https://huggingface.co/internlm/internlm2_5-7b) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-7b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-7b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-original) | 2024-07-03 | | **InternLM2.5-7B** | [🤗internlm2_5-7b](https://huggingface.co/internlm/internlm2_5-7b) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-7b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-7b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-original) | 2024-07-03 |
| **InternLM2.5-7B-Chat** | [🤗internlm2_5-7b-chat](https://huggingface.co/internlm/internlm2_5-7b-chat) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-7b-chat](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-7b-chat/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-chat) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-chat-original) | 2024-07-03 | | **InternLM2.5-7B-Chat** | [🤗internlm2_5-7b-chat](https://huggingface.co/internlm/internlm2_5-7b-chat) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-7b-chat](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-7b-chat/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-chat) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-chat-original) | 2024-07-03 |
| **InternLM2.5-7B-Chat-1M** | [🤗internlm2_5-7b-chat-1m](https://huggingface.co/internlm/internlm2_5-7b-chat-1m) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-7b-chat-1m](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-7b-chat-1m/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-chat-1m) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-chat-1m-original) | 2024-07-03 | | **InternLM2.5-7B-Chat-1M** | [🤗internlm2_5-7b-chat-1m](https://huggingface.co/internlm/internlm2_5-7b-chat-1m) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-7b-chat-1m](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-7b-chat-1m/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-chat-1m) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-chat-1m-original) | 2024-07-03 |
| **InternLM2.5-20B** | [🤗internlm2_5-20b](https://huggingface.co/internlm/internlm2_5-20b) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-20b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-20b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b-original) | 2024-08-01 | | **InternLM2.5-20B** | [🤗internlm2_5-20b](https://huggingface.co/internlm/internlm2_5-20b) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-20b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-20b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b-original) | 2024-08-05 |
| **InternLM2.5-20B-Chat** | [🤗internlm2_5-20b-chat](https://huggingface.co/internlm/internlm2_5-20b-chat) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-7b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-20b-chat/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b-chat) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b-chat-original) | 2024-08-01 | | **InternLM2.5-20B-Chat** | [🤗internlm2_5-20b-chat](https://huggingface.co/internlm/internlm2_5-20b-chat) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-20b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-20b-chat/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b-chat) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b-chat-original) | 2024-08-05 |
**模型说明：** **模型说明：**

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model_cards/internlm2.5_1.8b.md
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@ -1,15 +1,15 @@
# InternLM2.5-20B Model Card # InternLM2.5-1.8B Model Card
## Introduction ## Introduction
InternLM2.5, the 2.5th generation InternLM, has open-sourced a 20 billion parameter base model and a chat model tailored for practical scenarios. For the convenience of users and researchers, we have open-sourced two versions of each scale of the model, which are: InternLM2.5, the 2.5th generation InternLM, has open-sourced a 1.8 billion parameter base model and a chat model tailored for practical scenarios. For the convenience of users and researchers, we have open-sourced two versions of each scale of the model, which are:
- InternLM2.5-20B: Further pretrain with general domain data and domain-enhanced corpus, obtaining state-of-the-art performance in evaluation with good language capability. InternLM2.5 models are recommended for consideration in most applications. - InternLM2.5-1.8B: Further pretrain with general domain data and domain-enhanced corpus, obtaining state-of-the-art performance in evaluation with good language capability. InternLM2.5 models are recommended for consideration in most applications.
- InternLM2.5-chat-20B: Further aligned on top of InternLM2.5 through supervised fine-tuning (SFT) and online RLHF. InternLM2.5-Chat exhibits better instruction following, chat experience, and function calling, which is recommended for downstream applications. - InternLM2.5-chat-1.8B: Further aligned on top of InternLM2.5 through supervised fine-tuning (SFT) and online RLHF. InternLM2.5-Chat exhibits better instruction following, chat experience, and function calling, which is recommended for downstream applications.
The model has the following characteristics: The model has the following characteristics:
- **Outstanding reasoning capability**: State-of-the-art performance on Math reasoning, surpassing models like Llama3 and Gemma2-27B. - **Outstanding reasoning capability**: State-of-the-art performance on Math reasoning, surpassing models like MiniCPM-2 and Qwen2-1.5B.
- **Stronger tool use**: InternLM2.5 supports gathering information from more than 100 web pages, corresponding implementation has be released in [MindSearch](https://github.com/InternLM/MindSearch). InternLM2.5 has better tool utilization-related capabilities in instruction following, tool selection and reflection. See [examples](https://github.com/InternLM/InternLM/blob/main/agent/lagent.md). - **Stronger tool use**: InternLM2.5 supports gathering information from more than 100 web pages, corresponding implementation has be released in [MindSearch](https://github.com/InternLM/MindSearch). InternLM2.5 has better tool utilization-related capabilities in instruction following, tool selection and reflection. See [examples](https://github.com/InternLM/InternLM/blob/main/agent/lagent.md).
@ -17,8 +17,8 @@ The model has the following characteristics:
| Model | Transformers(HF) | ModelScope(HF) | OpenXLab(HF) | OpenXLab(Origin) | Release Date | | Model | Transformers(HF) | ModelScope(HF) | OpenXLab(HF) | OpenXLab(Origin) | Release Date |
| ------------------------- | ------------------------------------------ | ---------------------------------------- | -------------------------------------- | ------------------------------------------- | ------------ | | ------------------------- | ------------------------------------------ | ---------------------------------------- | -------------------------------------- | ------------------------------------------- | ------------ |
| **InternLM2.5-1.8B** | [🤗internlm2_5-1_8b](https://huggingface.co/internlm/internlm2_5-1_8b) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-1_8b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-1_8b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b-original) | 2024-08-01 | | **InternLM2.5-1.8B** | [🤗internlm2_5-1_8b](https://huggingface.co/internlm/internlm2_5-1_8b) | [<img src="../assets/modelscope_logo.png" width="20px" /> internlm2_5-1_8b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-1_8b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b-original) | 2024-08-05 |
| **InternLM2.5-1.8B-Chat** | [🤗internlm2_5-1_8b-chat](https://huggingface.co/internlm/internlm2_5-1_8b-chat) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-7b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-1_8b-chat/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b-chat) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b-chat-original) | 2024-08-01 | | **InternLM2.5-1.8B-Chat** | [🤗internlm2_5-1_8b-chat](https://huggingface.co/internlm/internlm2_5-1_8b-chat) | [<img src="../assets/modelscope_logo.png" width="20px" /> internlm2_5-1_8b-chat](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-1_8b-chat/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b-chat) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-1_8b-chat-original) | 2024-08-05 |
- `HF` refers to the format used by HuggingFace in [transformers](https://github.com/huggingface/transformers), whereas `Origin` denotes the format adopted by the InternLM team in [InternEvo](https://github.com/InternLM/InternEvo). - `HF` refers to the format used by HuggingFace in [transformers](https://github.com/huggingface/transformers), whereas `Origin` denotes the format adopted by the InternLM team in [InternEvo](https://github.com/InternLM/InternEvo).
@ -26,6 +26,19 @@ The model has the following characteristics:
We have evaluated InternLM2.5 on several important benchmarks using the open-source evaluation tool [OpenCompass](https://github.com/open-compass/opencompass). Some of the evaluation results are shown in the table below. You are welcome to visit the [OpenCompass Leaderboard](https://opencompass.org.cn/rank) for more evaluation results. We have evaluated InternLM2.5 on several important benchmarks using the open-source evaluation tool [OpenCompass](https://github.com/open-compass/opencompass). Some of the evaluation results are shown in the table below. You are welcome to visit the [OpenCompass Leaderboard](https://opencompass.org.cn/rank) for more evaluation results.
### Base Model
| Benchmark | InternLM2.5-1.8B | InternLM2-1.8B | Qwen2-1.5B |
| --------- | ---------------- | -------------- | ---------- |
| MMLU | 53.52 | 45.99 | 57.45 |
| CMMLU | 65.44 | 45.27 | 70.58 |
| BBH | 41.16 | 36.03 | 35.75 |
| MATH | 27.28 | 9.42 | 24.38 |
| HUMANEVAL | 35.98 | 30.49 | 34.15 |
| GPQA | 24.24 | 24.24 | 31.82 |
### Chat Model
| Benchmark | InternLM2.5-1.8B-Chat | MiniCPM-2 | Qwen2-1.5B-Instruct | | Benchmark | InternLM2.5-1.8B-Chat | MiniCPM-2 | Qwen2-1.5B-Instruct |
| ----------------- | --------------------- | --------- | ------------------- | | ----------------- | --------------------- | --------- | ------------------- |
| MMLU (5-shot) | 50.7 | 54.2 | 55.7 | | MMLU (5-shot) | 50.7 | 54.2 | 55.7 |

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model_cards/internlm2.5_20b.md
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@ -17,8 +17,8 @@ The model has the following characteristics:
| Model | Transformers(HF) | ModelScope(HF) | OpenXLab(HF) | OpenXLab(Origin) | Release Date | | Model | Transformers(HF) | ModelScope(HF) | OpenXLab(HF) | OpenXLab(Origin) | Release Date |
| ------------------------ | ------------------------------------------ | ---------------------------------------- | --------------------------------------- | ------------------------------------------- | ------------ | | ------------------------ | ------------------------------------------ | ---------------------------------------- | --------------------------------------- | ------------------------------------------- | ------------ |
| **InternLM2.5-20B** | [🤗internlm2_5-20b](https://huggingface.co/internlm/internlm2_5-20b) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-20b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-20b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b-original) | 2024-08-01 | | **InternLM2.5-20B** | [🤗internlm2_5-20b](https://huggingface.co/internlm/internlm2_5-20b) | [<img src="../assets/modelscope_logo.png" width="20px" /> internlm2_5-20b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-20b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b-original) | 2024-08-05 |
| **InternLM2.5-20B-Chat** | [🤗internlm2_5-20b-chat](https://huggingface.co/internlm/internlm2_5-20b-chat) | [<img src="./assets/modelscope_logo.png" width="20px" /> internlm2_5-7b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-20b-chat/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b-chat) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b-chat-original) | 2024-08-01 | | **InternLM2.5-20B-Chat** | [🤗internlm2_5-20b-chat](https://huggingface.co/internlm/internlm2_5-20b-chat) | [<img src="../assets/modelscope_logo.png" width="20px" /> internlm2_5-20b-chat](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-20b-chat/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b-chat) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-20b-chat-original) | 2024-08-05 |
- `HF` refers to the format used by HuggingFace in [transformers](https://github.com/huggingface/transformers), whereas `Origin` denotes the format adopted by the InternLM team in [InternEvo](https://github.com/InternLM/InternEvo). - `HF` refers to the format used by HuggingFace in [transformers](https://github.com/huggingface/transformers), whereas `Origin` denotes the format adopted by the InternLM team in [InternEvo](https://github.com/InternLM/InternEvo).
@ -26,6 +26,19 @@ The model has the following characteristics:
We have evaluated InternLM2.5 on several important benchmarks using the open-source evaluation tool [OpenCompass](https://github.com/open-compass/opencompass). Some of the evaluation results are shown in the table below. You are welcome to visit the [OpenCompass Leaderboard](https://opencompass.org.cn/rank) for more evaluation results. We have evaluated InternLM2.5 on several important benchmarks using the open-source evaluation tool [OpenCompass](https://github.com/open-compass/opencompass). Some of the evaluation results are shown in the table below. You are welcome to visit the [OpenCompass Leaderboard](https://opencompass.org.cn/rank) for more evaluation results.
### Base Model
| Benchmark | InternLM2.5-20B | InternLM2-20B |
| --------- | --------------- | ------------- |
| MMLU | 74.25 | 67.58 |
| CMMLU | 82.22 | 68.29 |
| BBH | 77.82 | 71.36 |
| MATH | 48 | 32.66 |
| HUMANEVAL | 71.95 | 51.22 |
| GPQA | 37.88 | 31.31 |
### Chat Model
| Benchmark | InternLM2.5-20B-Chat | Gemma2-27B-IT | | Benchmark | InternLM2.5-20B-Chat | Gemma2-27B-IT |
| ----------------- | -------------------- | ------------- | | ----------------- | -------------------- | ------------- |
| MMLU (5-shot) | 73.5 | 75.0 | | MMLU (5-shot) | 73.5 | 75.0 |