|
49 | 49 | | Model | Type | File Links | Model Links | |
50 | 50 | | :-------------------: | :------: | :------------------------------------------------------------------------------------------------------: |:------: | |
51 | 51 | | InternLM2_5_7B_chat | QLORA | [internlm2_5_chat_7b_qlora_oasst1_e3.py](./xtuner_config/internlm2_5_chat_7b_qlora_oasst1_e3.py) |[ModelScope](https://www.modelscope.cn/models/z342994309/emollm_interlm2_5/) | |
52 | | -| InternLM2_7B_chat | QLORA | [internlm2_7b_chat_qlora_e3.py](./xtuner_config/internlm2_7b_chat_qlora_e3.py) | | |
53 | | -| InternLM2_7B_chat | full fine-tuning | [internlm2_chat_7b_full.py](./xtuner_config/internlm2_chat_7b_full.py) | | |
| 52 | +| InternLM2_7B_chat | QLORA | [internlm2_7b_chat_qlora_e3.py](./xtuner_config/internlm2_7b_chat_qlora_e3.py) | [ModelScope](https://modelscope.cn/models/aJupyter/EmoLLM/files) | |
| 53 | +| InternLM2_7B_chat | full fine-tuing | [internlm2_chat_7b_full.py](./xtuner_config/internlm2_chat_7b_full.py) | [OpenXLab](https://openxlab.org.cn/models/detail/ajupyter/EmoLLM_internlm2_7b_full) | |
54 | 54 | | InternLM2_7B_base | QLORA | [internlm2_7b_base_qlora_e10_M_1e4_32_64.py](./xtuner_config/internlm2_7b_base_qlora_e10_M_1e4_32_64.py) |[OpenXLab](https://openxlab.org.cn/models/detail/chg0901/EmoLLM-InternLM7B-base-10e), [ModelScope](https://www.modelscope.cn/models/chg0901/EmoLLM-InternLM7B-base-10e/summary) | |
55 | | -| InternLM2_1_8B_chat | full fine-tuning | [internlm2_1_8b_full_alpaca_e3.py](./xtuner_config/internlm2_1_8b_full_alpaca_e3.py) | | |
| 55 | +| InternLM2_1_8B_chat | full fine-tuing | [internlm2_1_8b_full_alpaca_e3.py](./xtuner_config/internlm2_1_8b_full_alpaca_e3.py) | [OpenXLab](https://openxlab.org.cn/models/detail/ajupyter/EmoLLM_internlm2_1_8b_full/tree/main), [ModelScope](https://modelscope.cn/models/aJupyter/EmoLLM_PT_InternLM1.8B-chat/files) | |
56 | 56 | | InternLM2_20B_chat | LORA |[internlm2_20b_chat_lora_alpaca_e3.py](./xtuner_config/internlm2_20b_chat_lora_alpaca_e3.py)| | |
57 | 57 | | Qwen_7b_chat | QLORA | [qwen_7b_chat_qlora_e3.py](./xtuner_config/qwen_7b_chat_qlora_e3.py) | | |
58 | | -| Qwen1_5-0_5B-Chat | full fine-tuning | [qwen1_5_0_5_B_full.py](./xtuner_config/qwen1_5_0_5_B_full.py) | | |
| 58 | +| Qwen1_5-0_5B-Chat | full fine-tuing | [qwen1_5_0_5_B_full.py](./xtuner_config/qwen1_5_0_5_B_full.py) | [ModelScope](https://www.modelscope.cn/models/aJupyter/EmoLLM_Qwen1_5-0_5B-Chat_full_sft/summary) | |
59 | 59 | | Baichuan2_13B_chat | QLORA | [baichuan2_13b_chat_qlora_alpaca_e3.py](./xtuner_config/baichuan2_13b_chat_qlora_alpaca_e3.py) | | |
60 | 60 | | ChatGLM3_6B | LORA | [chatglm3_6b_lora_alpaca_e3.py](./xtuner_config/chatglm3_6b_lora_alpaca_e3.py) | | |
61 | 61 | | DeepSeek MoE_16B_chat | QLORA | [deepseek_moe_16b_chat_qlora_oasst1_e3.py](./xtuner_config/deepseek_moe_16b_chat_qlora_oasst1_e3.py) | | |
62 | 62 | | Mixtral 8x7B_instruct | QLORA | [mixtral_8x7b_instruct_qlora_oasst1_e3.py](./xtuner_config/mixtral_8x7b_instruct_qlora_oasst1_e3.py) | | |
63 | | -| LLaMA3_8b_instruct | QLORA | [aiwei_llama3_8b_instruct_qlora_e3.py](./xtuner_config/aiwei_llama3_8b_instruct_qlora_e3.py) | | |
64 | | -| LLaMA3_8b_instruct | QLORA | [llama3_8b_instruct_qlora_alpaca_e3_M_ruozhi_scM.py](./xtuner_config/llama3_8b_instruct_qlora_alpaca_e3_M_ruozhi_scM.py) |[OpenXLab](https://openxlab.org.cn/models/detail/chg0901/EmoLLM-Llama3-8B-Instruct3.0), [ModelScope](https://modelscope.cn/models/chg0901/EmoLLM-Llama3-8B-Instruct3.0/summary) | |
| 63 | +| LLaMA3_8b_instruct | QLORA | [aiwei_llama3_8b_instruct_qlora_e3.py](./xtuner_config/aiwei_llama3_8b_instruct_qlora_e3.py) | [OpenXLab](https://openxlab.org.cn/models/detail/ajupyter/EmoLLM-LLaMA3_8b_instruct_aiwei/tree/main), [ModelScope](https://modelscope.cn/models/aJupyter/EmoLLM-LLaMA3_8b_instruct_aiwei/files) | |
| 64 | +| LLaMA3_8b_instruct | QLORA | [llama3_8b_instruct_qlora_alpaca_e3_M_ruozhi_scM.py](./xtuner_config/llama3_8b_instruct_qlora_alpaca_e3_M_ruozhi_scM.py) |[OpenXLab](https://openxlab.org.cn/models/detail/chg0901/EmoLLM-Llama3-8B-Instruct3.0), [ModelScope](https://modelscope.cn/models/chg0901/EmoLLM-Llama3-8B-Instruct3.0/summary) | |
65 | 65 | | …… | …… | …… | …… | |
66 | 66 |
|
| 67 | + |
67 | 68 | </div> |
68 | 69 |
|
69 | 70 | Everyone is welcome to contribute to this project ~ |
@@ -102,6 +103,7 @@ The Model aims to fully understand and promote the mental health of individuals, |
102 | 103 | </table> |
103 | 104 |
|
104 | 105 | ## Recent Updates |
| 106 | +- 【2024.7】Welcome to use the stable version of EmoLLM V2.0 for daily use and academic research. Model weight link: [OpenXLab](https://openxlab.org.cn/models/detail/ajupyter/EmoLLM_internlm2_7b_full/tree/main). |
105 | 107 | - 【2024.7】Added InternLM2_5_7B_chat[fine-tuning configuration](./xtuner_config/internlm2_5_chat_7b_qlora_oasst1_e3.py)、model file [ModelScope](https://www.modelscope.cn/models/z342994309/emollm_interlm2_5/)。 |
106 | 108 | - 【2024.6】 Added [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory)[GLM4-9B-chat fine-tuning guide](./doc/GLM-4-9B-chat%20Lora%20微调（llama-factory）.md), added [swift-based fine-tuning guide](./swift/), the paper [ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models](https://arxiv.org/abs/2406.14952) cited EmoLLM and EmoLLM achieved good results. |
107 | 109 | - 【2024.05.28】The multi-turn dialogue dataset **CPsyCunD** and **professional evaluation method** used by EmoLLM have been released. For details, please see the 2024 ACL findings[《CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling》](https://arxiv.org/abs/2405.16433)! |
@@ -282,7 +284,7 @@ This project uses Git for version control. You can see the currently available v |
282 | 284 | | Username | School/Organization | Remarks | Contributions | |
283 | 285 | | :----------------------------------------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: | |
284 | 286 | | [aJupyter](https://github.com/aJupyter) | Nankai University, Master's student | DataWhale member | Project initiator | |
285 | | -| [MING-ZCH](https://github.com/MING-ZCH) | Huazhong University of Science and Technology, Undergraduate student | LLM X Psychology researcher | Project co-leader | |
| 287 | +| [MING-ZCH](https://github.com/MING-ZCH) | Huazhong University of Science and Technology, Undergraduate student | LLM X Mental health researcher | Project co-leader | |
286 | 288 | | [jujimeizuo](https://github.com/jujimeizuo) | Jiangnan University, Master's student | | | |
287 | 289 | | [Smiling-Weeping-zhr](https://github.com/Smiling-Weeping-zhr) | Harbin Institute of Technology (Weihai), Undergraduate student | | | |
288 | 290 | | [8baby8](https://github.com/8baby8) | PaddlePaddle Pilot Team Regional Director | Wenxin Large Model core developer | | |
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