modelscope · tastelikefeet · Apr 11, 2024 · Apr 10, 2024 · Apr 10, 2024 · Apr 10, 2024
diff --git a/README.md b/README.md
@@ -39,6 +39,7 @@ To facilitate use by users unfamiliar with deep learning, we provide a Gradio we
 Additionally, we are expanding capabilities for other modalities. Currently, we support full-parameter training and LoRA training for AnimateDiff.
 
 ## 🎉 News
+- 🔥2024.04.11: Support **c4ai-command-r** series: c4ai-command-r-plus, c4ai-command-r-v01, [this script](https://github.com/modelscope/swift/blob/main/examples/pytorch/llm/scripts/c4ai-command-r-plus/lora_mp/sft.sh) to train.
 - 2024.04.10: Use SWIFT to fine-tune the qwen-7b-chat model to enhance its function call capabilities, and combine it with [Modelscope-Agent](https://github.com/modelscope/modelscope-agent) for best practices, which can be found [here](https://github.com/modelscope/swift/tree/main/docs/source_en/LLM/Agent-best-practice.md#Usage-with-Modelscope_Agent).
 - 🔥2024.04.09: Support ruozhiba dataset. Search `ruozhiba` in [this documentation](docs/source_en/LLM/Supported-models-datasets.md) to begin training!
 - 2024.04.08: Support the fine-tuning and inference of XVERSE-MoE-A4.2B model, use [this script](https://github.com/modelscope/swift/blob/main/examples/pytorch/llm/scripts/xverse_moe_a4_2b/lora/sft.sh) to start training!
@@ -405,6 +406,7 @@ CUDA_VISIBLE_DEVICES=0 swift deploy \
 | TeleChat | [Tele-AI](https://github.com/Tele-AI/Telechat) | Chinese<br>English | 7B-12B | chat model |
 | dbrx | [databricks](https://github.com/databricks/dbrx) | English | 132B | base model<br>chat model  |
 | mengzi3 | [Langboat](https://github.com/Langboat/Mengzi3) | Chinese<br>English | 13B | base model  |
+| c4ai-command-r | [c4ai](https://cohere.com/command) | Multilingual | 35B-104B | chat model  |
 
 
 #### MLLMs

diff --git a/README_CN.md b/README_CN.md
@@ -40,6 +40,7 @@ SWIFT支持近**200种LLM和MLLM**（多模态大模型）的训练、推理、
 此外，我们也在拓展其他模态的能力，目前我们支持了AnimateDiff的全参数训练和LoRA训练。
 
 ## 🎉 新闻
+- 🔥2024.04.11: 支持**c4ai-command-r**系列: c4ai-command-r-plus, c4ai-command-r-v01。使用[这个脚本](https://github.com/modelscope/swift/blob/main/examples/pytorch/llm/scripts/c4ai-command-r-plus/lora_mp/sft.sh)来开始训练！
 - 2024.04.10: 使用swift微调qwen-7b-chat模型增强模型function call能力，并结合[Modelscope-Agent](https://github.com/modelscope/modelscope-agent)使用，最佳实践可以查看[这里](https://github.com/modelscope/swift/tree/main/docs/source/LLM/Agent微调最佳实践.md#搭配Modelscope-Agent使用)。
 - 🔥2024.04.09: 支持`弱智吧`系列数据集. 在[支持的模型和数据集文档](docs/source/LLM/支持的模型和数据集.md)中搜索`ruozhiba`来找到数据集并开始训练！
 - 2024.04.08: 支持XVERSE-MoE-A4.2B模型的推理与微调, 使用[这个脚本](https://github.com/modelscope/swift/blob/main/examples/pytorch/llm/scripts/xverse_moe_a4_2b/lora/sft.sh)来开始训练！
@@ -404,6 +405,7 @@ CUDA_VISIBLE_DEVICES=0 swift deploy \
 | TeleChat | [Tele-AI](https://github.com/Tele-AI/Telechat) | 中文<br>英文 | 7B-12B | chat模型                                    |
 | dbrx | [databricks](https://github.com/databricks/dbrx) | 英文 | 132B | base模型<br>chat模型  |
 | mengzi3 | [Langboat](https://github.com/Langboat/Mengzi3) | 中文<br>英文 | 13B | base模型  |
+| c4ai-command-r | [c4ai](https://cohere.com/command) | 多语种 | 35B-104B | chat模型  |
 
 
 #### 多模态大模型

diff --git a/docs/source/LLM/支持的模型和数据集.md b/docs/source/LLM/支持的模型和数据集.md
@@ -174,7 +174,7 @@
 |xverse-65b-v2|[xverse/XVERSE-65B-2](https://modelscope.cn/models/xverse/XVERSE-65B-2/summary)|q_proj, k_proj, v_proj|default-generation|&#x2718;|&#x2718;||-|
 |xverse-65b-chat|[xverse/XVERSE-65B-Chat](https://modelscope.cn/models/xverse/XVERSE-65B-Chat/summary)|q_proj, k_proj, v_proj|xverse|&#x2718;|&#x2718;||-|
 |xverse-13b-256k|[xverse/XVERSE-13B-256K](https://modelscope.cn/models/xverse/XVERSE-13B-256K/summary)|q_proj, k_proj, v_proj|default-generation|&#x2718;|&#x2718;||-|
-|xverse-moe-a4_2b|[xverse/XVERSE-MoE-A4.2B](https://modelscope.cn/models/xverse/XVERSE-MoE-A4.2B/summary)|q_proj, k_proj, v_proj|default-generation|&#x2714;|&#x2718;||-|
+|xverse-moe-a4_2b|[xverse/XVERSE-MoE-A4.2B](https://modelscope.cn/models/xverse/XVERSE-MoE-A4.2B/summary)|q_proj, k_proj, v_proj|default-generation|&#x2718;|&#x2718;||-|
 |orion-14b|[OrionStarAI/Orion-14B-Base](https://modelscope.cn/models/OrionStarAI/Orion-14B-Base/summary)|q_proj, k_proj, v_proj|default-generation|&#x2714;|&#x2718;||-|
 |orion-14b-chat|[OrionStarAI/Orion-14B-Chat](https://modelscope.cn/models/OrionStarAI/Orion-14B-Chat/summary)|q_proj, k_proj, v_proj|orion|&#x2714;|&#x2718;||-|
 |bluelm-7b|[vivo-ai/BlueLM-7B-Base](https://modelscope.cn/models/vivo-ai/BlueLM-7B-Base/summary)|q_proj, k_proj, v_proj|default-generation-bos|&#x2718;|&#x2718;||-|
@@ -205,12 +205,14 @@
 |mamba-790m|[AI-ModelScope/mamba-790m-hf](https://modelscope.cn/models/AI-ModelScope/mamba-790m-hf/summary)|in_proj, x_proj, embeddings, out_proj|default-generation|&#x2718;|&#x2718;|transformers>=4.39.0|-|
 |mamba-1.4b|[AI-ModelScope/mamba-1.4b-hf](https://modelscope.cn/models/AI-ModelScope/mamba-1.4b-hf/summary)|in_proj, x_proj, embeddings, out_proj|default-generation|&#x2718;|&#x2718;|transformers>=4.39.0|-|
 |mamba-2.8b|[AI-ModelScope/mamba-2.8b-hf](https://modelscope.cn/models/AI-ModelScope/mamba-2.8b-hf/summary)|in_proj, x_proj, embeddings, out_proj|default-generation|&#x2718;|&#x2718;|transformers>=4.39.0|-|
-|telechat-7b|[TeleAI/TeleChat-7B](https://modelscope.cn/models/TeleAI/TeleChat-7B/summary)|self_attention.key_value, self_attention.query|telechat|&#x2714;|&#x2718;||-|
-|telechat-12b|[TeleAI/TeleChat-12B](https://modelscope.cn/models/TeleAI/TeleChat-12B/summary)|self_attention.key_value, self_attention.query|telechat|&#x2714;|&#x2718;||-|
+|telechat-7b|[TeleAI/TeleChat-7B](https://modelscope.cn/models/TeleAI/TeleChat-7B/summary)|key_value, query|telechat|&#x2714;|&#x2718;||-|
+|telechat-12b|[TeleAI/TeleChat-12B](https://modelscope.cn/models/TeleAI/TeleChat-12B/summary)|key_value, query|telechat|&#x2714;|&#x2718;||-|
 |grok-1|[colossalai/grok-1-pytorch](https://modelscope.cn/models/colossalai/grok-1-pytorch/summary)|q_proj, k_proj, v_proj|default-generation|&#x2718;|&#x2718;||-|
 |dbrx-instruct|[AI-ModelScope/dbrx-instruct](https://modelscope.cn/models/AI-ModelScope/dbrx-instruct/summary)|attn.Wqkv|dbrx|&#x2714;|&#x2714;|transformers>=4.36|-|
 |dbrx-base|[AI-ModelScope/dbrx-base](https://modelscope.cn/models/AI-ModelScope/dbrx-base/summary)|attn.Wqkv|dbrx|&#x2714;|&#x2714;|transformers>=4.36|-|
-|mengzi3-13b-base|[langboat/Mengzi3-13B-Base](https://modelscope.cn/models/langboat/Mengzi3-13B-Base/summary)|q_proj, k_proj, v_proj|mengzi|&#x2718;|&#x2718;||-|
+|mengzi3-13b-base|[langboat/Mengzi3-13B-Base](https://modelscope.cn/models/langboat/Mengzi3-13B-Base/summary)|q_proj, k_proj, v_proj|mengzi|&#x2714;|&#x2714;||-|
+|c4ai-command-r-v01|[AI-ModelScope/c4ai-command-r-v01](https://modelscope.cn/models/AI-ModelScope/c4ai-command-r-v01/summary)|q_proj, k_proj, v_proj|c4ai|&#x2714;|&#x2718;|transformers>=4.39.1|-|
+|c4ai-command-r-plus|[AI-ModelScope/c4ai-command-r-plus](https://modelscope.cn/models/AI-ModelScope/c4ai-command-r-plus/summary)|q_proj, k_proj, v_proj|c4ai|&#x2714;|&#x2718;|transformers>4.39|-|
 
 
 ## 数据集