Feat 1018

README.md

@@ -43,7 +43,7 @@ Press [this link](https://github.com/modelscope/swift/tree/main/examples/pytorch
   - 🔥 qwen series: [qwen-7b](https://modelscope.cn/models/qwen/Qwen-7B/summary), [qwen-7b-chat](https://modelscope.cn/models/qwen/Qwen-7B-Chat/summary), [qwen-14b](https://modelscope.cn/models/qwen/Qwen-14B/summary), [qwen-14b-chat](https://modelscope.cn/models/qwen/Qwen-14B-Chat/summary), [qwen-7b-chat-int4](https://modelscope.cn/models/qwen/Qwen-7B-Chat-Int4/summary), [qwen-14b-chat-int4](https://modelscope.cn/models/qwen/Qwen-14B-Chat-Int4/summary), [qwen-7b-chat-int8](https://modelscope.cn/models/qwen/Qwen-7B-Chat-Int8/summary), [qwen-14b-chat-int8](https://modelscope.cn/models/qwen/Qwen-14B-Chat-Int8/summary)
   - 🔥 qwen-vl series: [qwen-vl](https://modelscope.cn/models/qwen/Qwen-VL/summary), [qwen-vl-chat](https://modelscope.cn/models/qwen/Qwen-VL-Chat/summary), [qwen-vl-chat-int4](https://modelscope.cn/models/qwen/Qwen-VL-Chat-Int4/summary)
   - baichuan series: [baichuan-7b](https://modelscope.cn/models/baichuan-inc/baichuan-7B/summary), [baichuan-13b](https://modelscope.cn/models/baichuan-inc/Baichuan-13B-Base/summary), [baichuan-13b-chat](https://modelscope.cn/models/baichuan-inc/Baichuan-13B-Chat/summary), [baichuan2-7b](https://modelscope.cn/models/baichuan-inc/Baichuan2-7B-Base/summary), [baichuan2-7b-chat](https://modelscope.cn/models/baichuan-inc/Baichuan2-7B-Chat/summary), [baichuan2-13b](https://modelscope.cn/models/baichuan-inc/Baichuan2-13B-Base/summary), [baichuan2-13b-chat](https://modelscope.cn/models/baichuan-inc/Baichuan2-13B-Chat/summary), [baichuan2-7b-chat-int4](https://modelscope.cn/models/baichuan-inc/Baichuan2-7B-Chat-4bits/summary), [baichuan2-13b-chat-int4](https://modelscope.cn/models/baichuan-inc/Baichuan2-13B-Chat-4bits/summary)
-  - chatglm2 series: [chatglm2-6b](https://modelscope.cn/models/ZhipuAI/chatglm2-6b/summary), [chatglm2-6b-32k](https://modelscope.cn/models/ZhipuAI/chatglm2-6b-32k/summary)
+  - chatglm series: [chatglm2-6b](https://modelscope.cn/models/ZhipuAI/chatglm2-6b/summary), [chatglm2-6b-32k](https://modelscope.cn/models/ZhipuAI/chatglm2-6b-32k/summary), [chatglm3-6b-base](https://modelscope.cn/models/ZhipuAI/chatglm3-6b-base/summary), [chatglm3-6b](https://modelscope.cn/models/ZhipuAI/chatglm3-6b/summary), [chatglm3-6b-32k](https://modelscope.cn/models/ZhipuAI/chatglm3-6b-32k/summary)
   - llama series: [llama2-7b](https://modelscope.cn/models/modelscope/Llama-2-7b-ms/summary), [llama2-7b-chat](https://modelscope.cn/models/modelscope/Llama-2-7b-chat-ms/summary), [llama2-13b](https://modelscope.cn/models/modelscope/Llama-2-13b-ms/summary), [llama2-13b-chat](https://modelscope.cn/models/modelscope/Llama-2-13b-chat-ms/summary), [llama2-70b](https://modelscope.cn/models/modelscope/Llama-2-70b-ms/summary), [llama2-70b-chat](https://modelscope.cn/models/modelscope/Llama-2-70b-chat-ms/summary)
   - openbuddy series: [openbuddy-llama2-13b-chat](https://modelscope.cn/models/OpenBuddy/openbuddy-llama2-13b-v8.1-fp16/summary), [openbuddy-llama-65b-chat](https://modelscope.cn/models/OpenBuddy/openbuddy-llama-65b-v8-bf16/summary), [openbuddy-llama2-70b-chat](https://modelscope.cn/models/OpenBuddy/openbuddy-llama2-70b-v10.1-bf16/summary), [openbuddy-mistral-7b-chat](https://modelscope.cn/models/OpenBuddy/openbuddy-mistral-7b-v13.1/summary)
   - internlm series: [internlm-7b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm-7b/summary), [internlm-7b-chat](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm-chat-7b-v1_1/summary), [internlm-7b-chat-8k](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm-chat-7b-8k/summary), [internlm-20b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm-20b/summary), [internlm-20b-chat](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm-chat-20b/summary)
@@ -55,32 +55,32 @@ Press [this link](https://github.com/modelscope/swift/tree/main/examples/pytorch
   - NLP:
     - General: 🔥[alpaca-en](https://modelscope.cn/datasets/AI-ModelScope/alpaca-gpt4-data-en/summary)(gpt4), 🔥[alpaca-zh](https://modelscope.cn/datasets/AI-ModelScope/alpaca-gpt4-data-zh/summary)(gpt4), [multi-alpaca-all](https://www.modelscope.cn/datasets/damo/nlp_polylm_multialpaca_sft/summary), [instinwild-en](https://www.modelscope.cn/datasets/wyj123456/instinwild/summary), [instinwild-zh](https://www.modelscope.cn/datasets/wyj123456/instinwild/summary), [cot-en](https://www.modelscope.cn/datasets/YorickHe/CoT/summary), [cot-zh](https://www.modelscope.cn/datasets/YorickHe/CoT/summary), [firefly-all-zh](https://www.modelscope.cn/datasets/wyj123456/firefly/summary), [instruct-en](https://www.modelscope.cn/datasets/wyj123456/instruct/summary), [gpt4all-en](https://www.modelscope.cn/datasets/wyj123456/GPT4all/summary), [sharegpt-en](https://www.modelscope.cn/datasets/huangjintao/sharegpt/summary), [sharegpt-zh](https://www.modelscope.cn/datasets/huangjintao/sharegpt/summary)
     - Agent: [damo-agent-zh](https://modelscope.cn/datasets/damo/MSAgent-Bench/summary), 🔥[damo-agent-mini-zh](https://modelscope.cn/datasets/damo/MSAgent-Bench/summary)
-    - Coding: [code-en](https://www.modelscope.cn/datasets/wyj123456/code_alpaca_en/summary), [code-python-zh](https://modelscope.cn/datasets/codefuse-ai/CodeExercise-Python-27k/summary), 🔥[leetcode-python-en](https://modelscope.cn/datasets/AI-ModelScope/leetcode-solutions-python/summary)
+    - Coding: [code-alpaca-en](https://www.modelscope.cn/datasets/wyj123456/code_alpaca_en/summary), [code-python-zh](https://modelscope.cn/datasets/codefuse-ai/CodeExercise-Python-27k/summary), 🔥[leetcode-python-en](https://modelscope.cn/datasets/AI-ModelScope/leetcode-solutions-python/summary)
     - Medical: [medical-en](https://www.modelscope.cn/datasets/huangjintao/medical_zh/summary), [medical-zh](https://www.modelscope.cn/datasets/huangjintao/medical_zh/summary), [medical-mini-zh](https://www.modelscope.cn/datasets/huangjintao/medical_zh/summary)
     - Law: 🔥[lawyer-llama-zh](https://modelscope.cn/datasets/AI-ModelScope/lawyer_llama_data/summary), [tigerbot-law-zh](https://modelscope.cn/datasets/AI-ModelScope/tigerbot-law-plugin/summary)
     - Math: 🔥[blossom-math-zh](https://modelscope.cn/datasets/AI-ModelScope/blossom-math-v2/summary), [school-math-zh](https://modelscope.cn/datasets/AI-ModelScope/school_math_0.25M/summary)
     - SQL: [text2sql-en](https://modelscope.cn/datasets/AI-ModelScope/texttosqlv2_25000_v2/summary), 🔥[sql-create-context-en](https://modelscope.cn/datasets/AI-ModelScope/sql-create-context/summary)
     - Text Generation: 🔥[advertise-gen-zh](https://modelscope.cn/datasets/lvjianjin/AdvertiseGen/summary), 🔥[dureader-robust-zh](https://modelscope.cn/datasets/modelscope/DuReader_robust-QG/summary)
-    - Classification: [cmnli-zh](https://www.modelscope.cn/datasets/modelscope/clue/summary), [jd-zh](https://modelscope.cn/datasets/DAMO_NLP/jd/summary)
+    - Classification: [cmnli-zh](https://www.modelscope.cn/datasets/modelscope/clue/summary), [jd-sentiment-zh](https://modelscope.cn/datasets/DAMO_NLP/jd/summary)
     - Other: [finance-en](https://www.modelscope.cn/datasets/wyj123456/finance_en/summary), [poetry-zh](https://www.modelscope.cn/datasets/modelscope/chinese-poetry-collection/summary), [cls-fudan-news-zh](https://modelscope.cn/datasets/damo/zh_cls_fudan-news/summary), [ner-jave-zh](https://modelscope.cn/datasets/damo/zh_ner-JAVE/summary)
   - Multi-Modal: 🔥[coco-en](https://modelscope.cn/datasets/modelscope/coco_2014_caption/summary)
   - Custom Dataset
 - Supported Templates:
   - Text Generation: default-generation, chatglm2-generation
-  - Chat: chatml(qwen), baichuan, chatglm2, llama, openbuddy-llama, default, internlm, xverse
+  - Chat: chatml(qwen), baichuan, chatglm2, chatglm3, llama, openbuddy-llama, default, internlm, xverse
 
 
 ### News
-- 🔥 2023.10.17: Supported int8 models: qwen-7b-chat-int8, qwen-14b-chat-int8. The corresponding shell script can be found at `scripts/qwen_7b_chat_int8`, `scripts/qwen_14b_chat_int8`.
-- 🔥 2023.10.16: Supported int4 models: qwen-7b-chat-int4, qwen-14b-chat-int4, qwen-vl-chat-int4, baichuan2-7b-chat-int4, baichuan2-13b-chat-int4. The corresponding shell script can be found at `scripts/qwen_7b_chat_int4`, `scripts/qwen_14b_chat_int4`, `scripts/qwen_vl_chat_int4`, `scripts/baichuan2_7b_chat_int4`, `scripts/baichuan2_13b_chat_int4`.
+- 🔥 2023.10.27: Support for chatglm3 series models: chatglm3-6b-base, chatglm3-6b, chatglm3-6b-32k. The corresponding shell script can be found in `scripts/chatglm3_6b_32k`.
+- 🔥 2023.10.24: Use the registration mechanism to add models, datasets, and chat templates. To customize models, datasets, and chat templates, refer to the "User Guide" section. The corresponding Python file can be found in `custom.py`, and the corresponding shell script can be found in `scripts/custom/tigerbot_13b_chat`.
+- 🔥 2023.10.17: Supported int4, int8 models: qwen-7b-chat-int4, qwen-14b-chat-int4, qwen-vl-chat-int4, baichuan2-7b-chat-int4, baichuan2-13b-chat-int4, qwen-7b-chat-int8, qwen-14b-chat-int8. The corresponding shell script can be found at `scripts/qwen_7b_chat_int4`, `scripts/qwen_14b_chat_int4`, `scripts/qwen_vl_chat_int4`, `scripts/qwen_7b_chat_int8`, `scripts/qwen_14b_chat_int8`.
 - 2023.10.15: Supported ziya2-13b model series: ziya2-13b, ziya2-13b-chat. The corresponding shell script can be found at `scripts/ziya2_13b_chat`.
 - 2023.10.12: Supported mistral-7b model series: openbuddy-mistral-7b-chat, mistral-7b, mistral-7b-chat. The corresponding shell script can be found at `scripts/openbuddy_mistral_7b_chat`, `scripts/mistral_7b_chat`.
 - 🔥 2023.10.7: Supported DeepSpeed ZeRO-2, enabling LoRA (not just QLoRA) to run DDP on 2*A10. The corresponding shell script can be found at `scripts/qwen_7b_chat/lora_ddp_ds/sft.sh`.
 - 2023.10.4: Supported datasets in the fields of mathematics, law, SQL, and coding: blossom-math-zh, school-math-zh, text2sql-en, sql-create-context-en, lawyer-llama-zh, tigerbot-law-zh, leetcode-python-en.
 - 🔥 2023.9.25: Supported qwen-14b model series: qwen-14b, qwen-14b-chat. The corresponding shell script can be found at `scripts/qwen_14b`, `scripts/qwen_14b_chat`.
 - 2023.9.18: Supported internlm-20b model series: internlm-20b, internlm-20b-chat. The corresponding shell script can be found at `scripts/internlm_20b`, `scripts/internlm_20b_chat`.
-- 🔥 2023.9.12: Supported training with MP+DDP to accelerate full-parameter fine-tuning speed. The corresponding shell script can be found at `scripts/qwen_7b_chat/full_mp_ddp/sft.sh`.
-- 2023.9.5: Supported training that only saves model weights without saving intermediate states such as optimizer weights required for checkpoint resumption, avoiding long checkpoint-saving times and large storage space in full-parameter fine-tuning. You can check the command-line parameter `--only_save_model` in the `sft.sh` script.
+- 2023.9.12: Supported training with MP+DDP to accelerate full-parameter fine-tuning speed. The corresponding shell script can be found at `scripts/qwen_7b_chat/full_mp_ddp/sft.sh`.
 
 
 # Installation