Dev 2 Main (#278)
This commit is contained in:
HongCheng
GitHub
commit
5ff357fb77
@ -46,6 +46,7 @@
|
||||
|
||||
| 模型 | 类型 | 链接 | 模型链接 |
|
||||
| :-------------------: | :------: | :------------------------------------------------------------------------------------------------------: |:------: |
|
||||
| InternLM2_5_7B_chat | 全量微调 | [internlm2_chat_7b_full.py](./xtuner_config/internlm2_chat_7b_full.py) | [OpenXLab](https://openxlab.org.cn/models/detail/chg0901/EmoLLM_V3.0), [ModelScope](https://modelscope.cn/models/chg0901/EmoLLMV3.0) |
|
||||
| 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/) |
|
||||
| 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) |
|
||||
| InternLM2_7B_chat | 全量微调 | [internlm2_chat_7b_full.py](./xtuner_config/internlm2_chat_7b_full.py) | [OpenXLab](https://openxlab.org.cn/models/detail/ajupyter/EmoLLM_internlm2_7b_full) |
|
||||
@ -99,6 +100,7 @@
|
||||
</table>
|
||||
|
||||
## 🎇最近更新
|
||||
- 【2024.07.16】欢迎大家体验 EmoLLM V3.0 ，改模型是基于InternLM2.5-7B-Chat模型的全量微调，微调配置文件地址：[internlm2_chat_7b_full.py](./xtuner_config/internlm2_chat_7b_full.py) ，模型权重链接：[OpenXLab](https://openxlab.org.cn/models/detail/chg0901/EmoLLM_V3.0), [ModelScope](https://modelscope.cn/models/chg0901/EmoLLMV3.0) ，WebDemo地址： [OpenXLab apps](https://openxlab.org.cn/apps/detail/chg0901/EmoLLMV3.0), [配套全量微调知乎教程](https://zhuanlan.zhihu.com/p/708931911)。
|
||||
- 【2024.07】欢迎大家使用稳定版 EmoLLM V2.0 进行日常使用和学术研究，模型权重链接：[OpenXLab](https://openxlab.org.cn/models/detail/ajupyter/EmoLLM_internlm2_7b_full/tree/main)。
|
||||
- 【2024.07】新增基于InternLM2_5_7B_chat[微调配置](./xtuner_config/internlm2_5_chat_7b_qlora_oasst1_e3.py)、模型文件发布在 [ModelScope](https://www.modelscope.cn/models/z342994309/emollm_interlm2_5/)。
|
||||
- 【2024.06】新增基于[LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory)[GLM4-9B-chat微调指南](./doc/GLM-4-9B-chat%20Lora%20微调（llama-factory）.md)、新增[基于swift的微调指南](./swift/)、论文[ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models](https://arxiv.org/abs/2406.14952)引用了EmoLLM且EmoLLM取得了较好的效果。
|
||||
|
||||
@ -48,6 +48,7 @@
|
||||
|
||||
| Model | Type | File Links | Model Links |
|
||||
| :-------------------: | :------: | :------------------------------------------------------------------------------------------------------: |:------: |
|
||||
| InternLM2_5_7B_chat | 全量微调 | [internlm2_chat_7b_full.py](./xtuner_config/internlm2_chat_7b_full.py) | [OpenXLab](https://openxlab.org.cn/models/detail/chg0901/EmoLLM_V3.0), [ModelScope](https://modelscope.cn/models/chg0901/EmoLLMV3.0) |
|
||||
| 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/) |
|
||||
| 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) |
|
||||
| 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) |
|
||||
@ -103,9 +104,10 @@ The Model aims to fully understand and promote the mental health of individuals,
|
||||
</table>
|
||||
|
||||
## Recent Updates
|
||||
- 【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).
|
||||
- 【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/)。
|
||||
- 【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.
|
||||
- 【2024.07.16】 Welcome everyone to experience EmoLLM V3.0. This model is a fully fine-tuned version based on the InternLM2.5-7B-Chat model. The fine-tuning configuration file can be found at: [internlm2_chat_7b_full.py](./xtuner_config/internlm2_chat_7b_full.py). Model weights are available at: [OpenXLab](https://openxlab.org.cn/models/detail/chg0901/EmoLLM_V3.0), [ModelScope](https://modelscope.cn/models/chg0901/EmoLLMV3.0). WebDemo is available at: [OpenXLab apps](https://openxlab.org.cn/apps/detail/chg0901/EmoLLMV3.0), [Full fine-tuning tutorial on Zhihu](https://zhuanlan.zhihu.com/p/708931911).
|
||||
- 【2024.07】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).
|
||||
- 【2024.07】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/)。
|
||||
- 【2024.06】 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.
|
||||
- 【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)!
|
||||
- [2024.05.08] EmoLLM**Daddy-like BF V0.1** is public now in [1. **Baidu AppBuilder**](https://appbuilder.baidu.com/s/4cLyw) and [2. **OpenXLab**](https://openxlab.org.cn/apps/detail/chg0901/EmoLLM3.0_Gradio_Llama3-8B-Instruct3.0), welcome to like and add it to your collections!
|
||||
- [2024.05.07] [Incremental Pre-training Guide](xtuner_config/pt/README.md)
|
||||
|
||||
@ -15,7 +15,7 @@ Please run with the command `streamlit run path/to/web_demo.py
|
||||
Using `python path/to/web_demo.py` may cause unknown problems.
|
||||
"""
|
||||
# isort: skip_file
|
||||
import copy
|
||||
import copy, os
|
||||
import warnings
|
||||
from dataclasses import asdict, dataclass
|
||||
from typing import Callable, List, Optional
|
||||
@ -31,10 +31,15 @@ from transformers import AutoTokenizer, AutoModelForCausalLM # isort: skip
|
||||
|
||||
logger = logging.get_logger(__name__)
|
||||
|
||||
# local
|
||||
model_path = '/root/EmoLLM/xtuner_config/hf4'
|
||||
# # local
|
||||
# model_path = '/root/EmoLLM/xtuner_config/hf_safe'
|
||||
|
||||
# Online downloading will be added later
|
||||
|
||||
model_path = './EmoLLM_V3.0'
|
||||
os.system(f'git clone https://code.openxlab.org.cn/chg0901/EmoLLM_V3.0.git {model_path}')
|
||||
os.system(f'cd {model_path} && git lfs pull')
|
||||
|
||||
@dataclass
|
||||
class GenerationConfig:
|
||||
# this config is used for chat to provide more diversity
|
||||
|
||||
Loading…
Reference in New Issue
Block a user