Update wechat (#186)

Author: Jintao-Huang

README.md

@@ -97,10 +97,11 @@ Users can check the [documentation of SWIFT](docs/source/GetStarted/快速使用
 - Supported SFT Methods: [lora](https://arxiv.org/abs/2106.09685), [qlora](https://arxiv.org/abs/2305.14314), full(full parameter fine-tuning)
 - Supported Features: quantization, DDP, model parallelism, gradient checkpointing, pushing to modelscope hub, custom datasets, multimodal and agent SFT, mutli-round chat, ...
 - Supported Models:
+  - Multi-Modal:
+    - 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)
+    - qwen-audio series: [qwen-audio](https://modelscope.cn/models/qwen/Qwen-Audio/summary), [qwen-audio-chat](https://modelscope.cn/models/qwen/Qwen-Audio-Chat/summary)
   - General:
     - qwen series: [qwen-1_8b-chat](https://modelscope.cn/models/qwen/Qwen-1_8B/summary), [qwen-1_8b-chat-int4](https://modelscope.cn/models/qwen/Qwen-1_8B-Chat-Int4/summary), [qwen-1_8b-chat-int8](https://modelscope.cn/models/qwen/Qwen-1_8B-Chat-Int8/summary), [qwen-7b](https://modelscope.cn/models/qwen/Qwen-7B/summary), [qwen-7b-chat](https://modelscope.cn/models/qwen/Qwen-7B-Chat/summary), [qwen-7b-chat-int4](https://modelscope.cn/models/qwen/Qwen-7B-Chat-Int4/summary), [qwen-7b-chat-int8](https://modelscope.cn/models/qwen/Qwen-7B-Chat-Int8/summary), [qwen-14b](https://modelscope.cn/models/qwen/Qwen-14B/summary), [qwen-14b-chat](https://modelscope.cn/models/qwen/Qwen-14B-Chat/summary), [qwen-14b-chat-int4](https://modelscope.cn/models/qwen/Qwen-14B-Chat-Int4/summary), [qwen-14b-chat-int8](https://modelscope.cn/models/qwen/Qwen-14B-Chat-Int8/summary), [qwen-72b](https://modelscope.cn/models/qwen/Qwen-72B/summary), [qwen-72b-chat](https://modelscope.cn/models/qwen/Qwen-72B-Chat/summary), [qwen-72b-chat-int4](https://modelscope.cn/models/qwen/Qwen-72B-Chat-Int4/summary), [qwen-72b-chat-int8](https://modelscope.cn/models/qwen/Qwen-72B-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)
-    - qwen-audio 系列: [qwen-audio](https://modelscope.cn/models/qwen/Qwen-Audio/summary), [qwen-audio-chat](https://modelscope.cn/models/qwen/Qwen-Audio-Chat/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)
     - 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)
     - 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)
@@ -121,7 +122,7 @@ Users can check the [documentation of SWIFT](docs/source/GetStarted/快速使用
   - 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), 🔥[agent-instruct-all-en](https://modelscope.cn/datasets/ZhipuAI/AgentInstruct/summary)
-    - Coding: [code-alpaca-en](https://www.modelscope.cn/datasets/wyj123456/code_alpaca_en/summary), 🔥[leetcode-python-en](https://modelscope.cn/datasets/AI-ModelScope/leetcode-solutions-python/summary), 🔥[codefuse-python-zh](https://modelscope.cn/datasets/codefuse-ai/CodeExercise-Python-27k/summary), 🔥[codefuse-evol-instruction](https://modelscope.cn/datasets/codefuse-ai/Evol-instruction-66k/summary)
+    - Coding: [code-alpaca-en](https://www.modelscope.cn/datasets/wyj123456/code_alpaca_en/summary), 🔥[leetcode-python-en](https://modelscope.cn/datasets/AI-ModelScope/leetcode-solutions-python/summary), 🔥[codefuse-python-en](https://modelscope.cn/datasets/codefuse-ai/CodeExercise-Python-27k/summary), 🔥[codefuse-evol-instruction-zh](https://modelscope.cn/datasets/codefuse-ai/Evol-instruction-66k/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)

README_CN.md

@@ -96,10 +96,11 @@ SWIFT（Scalable lightWeight Infrastructure for Fine-Tuning）是一个可扩展
 - 支持的SFT方法: [lora](https://arxiv.org/abs/2106.09685), [qlora](https://arxiv.org/abs/2305.14314), 全参数微调
 - 支持的特性: 模型量化, DDP, 模型并行, gradient checkpointing, 支持推送ModelScope Hub, 自定义数据集, 多模态和Agent SFT, 多轮对话, ...
 - 支持的模型
-  - 通用:
-    - qwen 系列: [qwen-1_8b-chat](https://modelscope.cn/models/qwen/Qwen-1_8B/summary), [qwen-1_8b-chat-int4](https://modelscope.cn/models/qwen/Qwen-1_8B-Chat-Int4/summary), [qwen-1_8b-chat-int8](https://modelscope.cn/models/qwen/Qwen-1_8B-Chat-Int8/summary), [qwen-7b](https://modelscope.cn/models/qwen/Qwen-7B/summary), [qwen-7b-chat](https://modelscope.cn/models/qwen/Qwen-7B-Chat/summary), [qwen-7b-chat-int4](https://modelscope.cn/models/qwen/Qwen-7B-Chat-Int4/summary), [qwen-7b-chat-int8](https://modelscope.cn/models/qwen/Qwen-7B-Chat-Int8/summary), [qwen-14b](https://modelscope.cn/models/qwen/Qwen-14B/summary), [qwen-14b-chat](https://modelscope.cn/models/qwen/Qwen-14B-Chat/summary), [qwen-14b-chat-int4](https://modelscope.cn/models/qwen/Qwen-14B-Chat-Int4/summary), [qwen-14b-chat-int8](https://modelscope.cn/models/qwen/Qwen-14B-Chat-Int8/summary), [qwen-72b](https://modelscope.cn/models/qwen/Qwen-72B/summary), [qwen-72b-chat](https://modelscope.cn/models/qwen/Qwen-72B-Chat/summary), [qwen-72b-chat-int4](https://modelscope.cn/models/qwen/Qwen-72B-Chat-Int4/summary), [qwen-72b-chat-int8](https://modelscope.cn/models/qwen/Qwen-72B-Chat-Int8/summary)
+  - 多模态:
     - qwen-vl 系列: [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)
     - qwen-audio 系列: [qwen-audio](https://modelscope.cn/models/qwen/Qwen-Audio/summary), [qwen-audio-chat](https://modelscope.cn/models/qwen/Qwen-Audio-Chat/summary)
+  - 通用:
+    - qwen 系列: [qwen-1_8b-chat](https://modelscope.cn/models/qwen/Qwen-1_8B/summary), [qwen-1_8b-chat-int4](https://modelscope.cn/models/qwen/Qwen-1_8B-Chat-Int4/summary), [qwen-1_8b-chat-int8](https://modelscope.cn/models/qwen/Qwen-1_8B-Chat-Int8/summary), [qwen-7b](https://modelscope.cn/models/qwen/Qwen-7B/summary), [qwen-7b-chat](https://modelscope.cn/models/qwen/Qwen-7B-Chat/summary), [qwen-7b-chat-int4](https://modelscope.cn/models/qwen/Qwen-7B-Chat-Int4/summary), [qwen-7b-chat-int8](https://modelscope.cn/models/qwen/Qwen-7B-Chat-Int8/summary), [qwen-14b](https://modelscope.cn/models/qwen/Qwen-14B/summary), [qwen-14b-chat](https://modelscope.cn/models/qwen/Qwen-14B-Chat/summary), [qwen-14b-chat-int4](https://modelscope.cn/models/qwen/Qwen-14B-Chat-Int4/summary), [qwen-14b-chat-int8](https://modelscope.cn/models/qwen/Qwen-14B-Chat-Int8/summary), [qwen-72b](https://modelscope.cn/models/qwen/Qwen-72B/summary), [qwen-72b-chat](https://modelscope.cn/models/qwen/Qwen-72B-Chat/summary), [qwen-72b-chat-int4](https://modelscope.cn/models/qwen/Qwen-72B-Chat-Int4/summary), [qwen-72b-chat-int8](https://modelscope.cn/models/qwen/Qwen-72B-Chat-Int8/summary)
     - chatglm 系列: [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)
     - baichuan 系列: [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)
     - llama 系列: [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)
@@ -120,7 +121,7 @@ SWIFT（Scalable lightWeight Infrastructure for Fine-Tuning）是一个可扩展
   - NLP:
     - 通用: 🔥[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), 🔥[agent-instruct-all-en](https://modelscope.cn/datasets/ZhipuAI/AgentInstruct/summary)
-    - 代码: [code-alpaca-en](https://www.modelscope.cn/datasets/wyj123456/code_alpaca_en/summary), 🔥[leetcode-python-en](https://modelscope.cn/datasets/AI-ModelScope/leetcode-solutions-python/summary), 🔥[codefuse-python-zh](https://modelscope.cn/datasets/codefuse-ai/CodeExercise-Python-27k/summary), 🔥[codefuse-evol-instruction](https://modelscope.cn/datasets/codefuse-ai/Evol-instruction-66k/summary)
+    - 代码: [code-alpaca-en](https://www.modelscope.cn/datasets/wyj123456/code_alpaca_en/summary), 🔥[leetcode-python-en](https://modelscope.cn/datasets/AI-ModelScope/leetcode-solutions-python/summary), 🔥[codefuse-python-en](https://modelscope.cn/datasets/codefuse-ai/CodeExercise-Python-27k/summary), 🔥[codefuse-evol-instruction-zh](https://modelscope.cn/datasets/codefuse-ai/Evol-instruction-66k/summary)
     - 医疗: [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)
     - 法律: 🔥[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)
     - 数学: 🔥[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)

asset/wechat.png

@@ -111,8 +111,8 @@ codefuse-codellama-34b-chat|[codefuse-ai/CodeFuse-CodeLlama-34B](https://modelsc
 |🔥agent-instruct-all-en|[huangjintao/AgentInstruct_copy](https://modelscope.cn/datasets/huangjintao/AgentInstruct_copy/summary)|1866|0|1144.3±635.5, min=206, max=6412|chat, agent, multi-round|
 |code-alpaca-en|[wyj123456/code_alpaca_en](https://modelscope.cn/datasets/wyj123456/code_alpaca_en/summary)|20016|0|100.1±60.1, min=29, max=1776|chat, coding|
 |🔥leetcode-python-en|[AI-ModelScope/leetcode-solutions-python](https://modelscope.cn/datasets/AI-ModelScope/leetcode-solutions-python/summary)|2359|0|723.8±233.5, min=259, max=2117|chat, coding|
-|🔥codefuse-python-zh|[codefuse-ai/CodeExercise-Python-27k](https://modelscope.cn/datasets/codefuse-ai/CodeExercise-Python-27k/summary)|27224|0|483.6±193.9, min=45, max=3082|chat, coding|
-|🔥codefuse-evol-instruction|[codefuse-ai/Evol-instruction-66k](https://modelscope.cn/datasets/codefuse-ai/Evol-instruction-66k/summary)|66862|0|439.6±206.3, min=37, max=2983|chat, coding|
+|🔥codefuse-python-en|[codefuse-ai/CodeExercise-Python-27k](https://modelscope.cn/datasets/codefuse-ai/CodeExercise-Python-27k/summary)|27224|0|483.6±193.9, min=45, max=3082|chat, coding|
+|🔥codefuse-evol-instruction-zh|[codefuse-ai/Evol-instruction-66k](https://modelscope.cn/datasets/codefuse-ai/Evol-instruction-66k/summary)|66862|0|439.6±206.3, min=37, max=2983|chat, coding|
 |medical-en|[huangjintao/medical_zh](https://modelscope.cn/datasets/huangjintao/medical_zh/summary)|117117|500|257.4±89.1, min=36, max=2564|chat, medical|
 |medical-zh|[huangjintao/medical_zh](https://modelscope.cn/datasets/huangjintao/medical_zh/summary)|1950472|500|167.2±219.7, min=26, max=27351|chat, medical|
 |medical-mini-zh|[huangjintao/medical_zh](https://modelscope.cn/datasets/huangjintao/medical_zh/summary)|50000|500|168.1±220.8, min=26, max=12320|chat, medical|
@@ -133,4 +133,5 @@ codefuse-codellama-34b-chat|[codefuse-ai/CodeFuse-CodeLlama-34B](https://modelsc
 |ner-jave-zh|[damo/zh_ner-JAVE](https://modelscope.cn/datasets/damo/zh_ner-JAVE/summary)|1266|0|118.3±45.5, min=44, max=223|chat, ner|
 |coco-en|[modelscope/coco_2014_caption](https://modelscope.cn/datasets/modelscope/coco_2014_caption/summary)|414113|40504|298.8±2.8, min=294, max=351|chat, multi-modal, vision|
 |🔥coco-mini-en|[modelscope/coco_2014_caption](https://modelscope.cn/datasets/modelscope/coco_2014_caption/summary)|20000|200|298.8±2.8, min=294, max=339|chat, multi-modal, vision|
+|aishell1-zh|[speech_asr/speech_asr_aishell1_trainsets](https://modelscope.cn/datasets/speech_asr/speech_asr_aishell1_trainsets/summary)|134424|7176|152.2±36.8, min=63, max=419|chat, multi-modal, audio|
 |🔥aishell1-mini-zh|[speech_asr/speech_asr_aishell1_trainsets](https://modelscope.cn/datasets/speech_asr/speech_asr_aishell1_trainsets/summary)|14326|200|152.0±35.5, min=74, max=359|chat, multi-modal, audio|

docs/source/LLM/支持的模型和数据集.md

@@ -16,7 +16,7 @@ torchrun \
     --dtype AUTO \
     --output_dir output \
     --ddp_backend nccl \
-    --dataset codefuse-python-zh \
+    --dataset codefuse-python-en \
     --train_dataset_sample -1 \
     --num_train_epochs 1 \
     --max_length 1024 \
@@ -45,4 +45,3 @@ torchrun \
     --hub_token 'your-sdk-token' \
     --deepspeed_config_path 'ds_config/zero2.json' \
     --only_save_model true \
-    --test_oom_error true \

examples/pytorch/llm/scripts/qwen_72b_chat_int8/qlora_ddp_ds/sft.sh

@@ -68,11 +68,12 @@ def llm_sft(args: SftArguments) -> str:
                     f'Setting lora_target_modules: {args.lora_target_modules}')
             if args.sft_type == 'lora':
                 lora_kwargs = {}
-                if args.tuner_backend == 'peft':
-                    global LoRAConfig
-                    LoRAConfig = LoraConfig
+                if args.tuner_backend == 'swift':
+                    lora_config_cls = LoRAConfig
+                elif args.tuner_backend == 'peft':
+                    lora_config_cls = LoraConfig
                     lora_kwargs['task_type'] = 'CAUSAL_LM'
-                lora_config = LoRAConfig(
+                lora_config = lora_config_cls(
                     r=args.lora_rank,
                     target_modules=args.lora_target_modules,
                     lora_alpha=args.lora_alpha,

swift/llm/sft.py

@@ -63,8 +63,8 @@ class DatasetName:
     # coding
     code_alpaca_en = 'code-alpaca-en'
     leetcode_python_en = 'leetcode-python-en'
-    codefuse_python_zh = 'codefuse-python-zh'
-    codefuse_evol_instruction = 'codefuse-evol-instruction'
+    codefuse_python_en = 'codefuse-python-en'
+    codefuse_evol_instruction_zh = 'codefuse-evol-instruction-zh'
     # medical
     medical_en = 'medical-en'
     medical_zh = 'medical-zh'
@@ -599,7 +599,7 @@ def _preprocess_sharegpt(dataset: HfDataset) -> HfDataset:
     tags=['chat', 'ner'])
 
 register_dataset(
-    DatasetName.codefuse_python_zh,
+    DatasetName.codefuse_python_en,
     'codefuse-ai/CodeExercise-Python-27k', ['train'],
     None,
     ConversationsPreprocessor(
@@ -735,7 +735,7 @@ def _repair_conversations_agent_instruct(s: str) -> str:
     tags=['chat', 'agent', 'multi-round', '🔥'])
 
 register_dataset(
-    DatasetName.codefuse_evol_instruction,
+    DatasetName.codefuse_evol_instruction_zh,
     'codefuse-ai/Evol-instruction-66k', ['train'],
     None,
     RenameColumnsPreprocessor({