v3.0.1

中文版

新特性

1. 支持SequenceClassification模型的训练、推理和部署。可以查看以下例子：qwen2.5，bert。
2. LlamaPro支持多模态模型. 例如：qwen2vl、internvl2.5、llama3-vision等。

新模型

1. Qwen/QVQ-72B-Preview
2. iic/DocOwl2
3. OpenGVLab/InternVL2-Pretrain-Models, OpenGVLab/InternVL2_5-4B-AWQ系列, OpenGVLab/InternVL2_5-1B-MPO系列
4. deepseek-ai/DeepSeek-V3系列
5. answerdotai/ModernBERT-base系列
6. AI-ModelScope/paligemma2-3b-pt-224系列, AI-ModelScope/paligemma2-3b-ft-docci-448系列
7. AI-ModelScope/Skywork-o1-Open-Llama-3.1-8B

English Version

New Features:

1. Support for training, inference, and deployment of SequenceClassification models. You can check the following examples: qwen2.5, bert.
2. LlamaPro supports multimodal models, such as qwen2vl, internvl2.5, and llama3-vision.

New Models:

1. Qwen/QVQ-72B-Preview
2. iic/DocOwl2
3. OpenGVLab/InternVL2-Pretrain-Models, OpenGVLab/InternVL2_5-4B-AWQ series, OpenGVLab/InternVL2_5-1B-MPO series
4. deepseek-ai/DeepSeek-V3 series
5. answerdotai/ModernBERT-base series
6. AI-ModelScope/paligemma2-3b-pt-224 series, AI-ModelScope/paligemma2-3b-ft-docci-448 series
7. AI-ModelScope/Skywork-o1-Open-Llama-3.1-8B

What's Changed

• Fix mplug owl2, molmo by @Jintao-Huang in #2724
• fix batch_infer pad_token & florence by @Jintao-Huang in #2725
• Support qwen agent format by @tastelikefeet in #2722
• Support more internvl2.5 awq/mpo & internvl2 pretrain model by @Jintao-Huang in #2726
• support iic/DocOwl2 by @Jintao-Huang in #2728
• update examples by @Jintao-Huang in #2730
• remove files by @Jintao-Huang in #2732
• support paligemma2 by @Jintao-Huang in #2735
• fix windows by @Jintao-Huang in #2733
• support multi-modal llamapro by @tastelikefeet in #2738
• support AI-ModelScope/Skywork-o1-Open-Llama-3.1-8B by @Jintao-Huang in #2739
• Fix windows encoding gbk by @Jintao-Huang in #2741
• fix docs multimodal by @Jintao-Huang in #2742
• support SequenceClassification & update QVQ-72B-Preview by @Jintao-Huang in #2747
• fix web-ui by @Jintao-Huang in #2758
• fix bugs by @Jintao-Huang in #2761
• fix shell by @Jintao-Huang in #2764
• fix app-ui by @tastelikefeet in #2765
• support modern_bert & support bert deploy by @Jintao-Huang in #2767
• fix alpaca by @Jintao-Huang in #2771
• support txt by @Jintao-Huang in #2772
• fix telechat2 template by @Jintao-Huang in #2775
• Fix deepspeed by @Jintao-Huang in #2778
• fix qwen2vl by @Jintao-Huang in #2779
• Fix app ui by @tastelikefeet in #2780
• support deepseek-v3 by @Jintao-Huang in #2781
• Fix app-ui by @tastelikefeet in #2784

Full Changelog: v3.0.0...v3.0.1

v3.0.0

中文版

架构修改与新特性：

具体可以查看这里: https://swift.readthedocs.io/zh-cn/latest/Instruction/ReleaseNote3.0.html

新模型：

1. OpenGVLab/InternVL2_5-1B等系列模型
2. LLM-Research/Llama-3.3-70B-Instruct
3. BAAI/Emu3-Gen
4. deepseek-ai/DeepSeek-V2.5-1210, deepseek-ai/deepseek-vl2等系列模型
5. Shanghai_AI_Laboratory/internlm-xcomposer2d5-ol-7b
6. InfiniAI/Megrez-3b-Instruct, InfiniAI/Megrez-3B-Omni
7. TeleAI/TeleChat2-3B等系列模型

English Version

Architecture Modifications and New Features:

For more details, please visit: https://swift.readthedocs.io/en/latest/Instruction/ReleaseNote3.0.html

New Models:

1. OpenGVLab/InternVL2_5-1B series models
2. LLM-Research/Llama-3.3-70B-Instruct
3. BAAI/Emu3-Gen
4. deepseek-ai/DeepSeek-V2.5-1210, deepseek-ai/deepseek-vl2 series models
5. Shanghai_AI_Laboratory/internlm-xcomposer2d5-ol-7b
6. InfiniAI/Megrez-3b-Instruct, InfiniAI/Megrez-3B-Omni
7. TeleAI/TeleChat2-3B series models

What's Changed

• Refactor All Codes and bump version to 3.0 by @tastelikefeet in #2030
• fix doc by @tastelikefeet in #2545
• fix manifest by @tastelikefeet in #2546
• add doc 2.x by @tastelikefeet in #2548
• fix ui by @tastelikefeet in #2549
• fix infer by @tastelikefeet in #2550
• Refactor mllm by @Jintao-Huang in #2543
• fix ui by @tastelikefeet in #2552
• Fix ui by @tastelikefeet in #2556
• Update ddp infer doc by @Jintao-Huang in #2557
• fix docs by @Jintao-Huang in #2558
• Fix docs by @Jintao-Huang in #2561
• fix log by @tastelikefeet in #2564
• Fix the command line parameter doc by @Jintao-Huang in #2565
• fix context by @Jintao-Huang in #2568
• Documents Updates by @yrk111222 in #2574
• Revert "Documents Updates" by @Jintao-Huang in #2576
• fix hub param by @tastelikefeet in #2572
• Fix bugs by @Jintao-Huang in #2573
• Support internvl2.5 by @Jintao-Huang in #2575
• update english docs by @Jintao-Huang in #2577
• fix en docs by @Jintao-Huang in #2580
• fix docs & add custom example by @Jintao-Huang in #2581
• fix custom example by @Jintao-Huang in #2582
• support llama3.3 by @Jintao-Huang in #2584
• update acc_strategy & fix citest by @Jintao-Huang in #2583
• Support peft0.14 by @tastelikefeet in #2587
• update infer/deploy examples by @Jintao-Huang in #2588
• add image images mapping by @Jintao-Huang in #2594
• update llm sft notebook by @Jintao-Huang in #2599
• fix notebook by @Jintao-Huang in #2600
• Fix streaming by @Jintao-Huang in #2601
• Emu3 gen train by @mi804 in #2602
• compat mllm notebook by @Jintao-Huang in #2604
• Temporarily remove torchacc. by @Jintao-Huang in #2606
• update docs by @Jintao-Huang in #2607
• train and infer scripts for emu3_gen by @mi804 in #2610
• Uodate Document by @yrk111222 in #2615
• update memory usage of emu3-gen by @mi804 in #2611
• move prepare_model by @Jintao-Huang in #2614
• Update mllm notebook by @Jintao-Huang in #2617
• Support all-embedding / all-norm by @Jintao-Huang in #2619
• fix lmdeploy==0.5.* by @Jintao-Huang in #2621
• Support deepseek-ai/DeepSeek-V2.5-1210 by @Jintao-Huang in #2624
• fix use_reentrant gradient_checkpointing by @Jintao-Huang in #2625
• support reward model by @Jintao-Huang in #2628
• fix add_default_tag by @Jintao-Huang in #2631
• fix dataset by @Jintao-Huang in #2636
• fix bugs & update openbuddy models & update docs by @Jintao-Huang in #2638
• fix app-ui by @tastelikefeet in #2641
• Fix post encode by @Jintao-Huang in #2643
• fix bugs by @Jintao-Huang in #2645
• update truncation_strategy by @Jintao-Huang in #2647
• fix swift/Infinity-Instruct by @Jintao-Huang in #2651
• Support LoRA-GA by @lxline in #2650
• support deepseek_vl2 by @Jintao-Huang in #2654
• fix swift/SlimOrca by @Jintao-Huang in #2656
• fix swift/SlimOrca by @Jintao-Huang in #2657
• support Shanghai_AI_Laboratory/internlm-xcomposer2d5-ol-7b:audio by @Jintao-Huang in #2658
• support Shanghai_AI_Laboratory/internlm-xcomposer2d5-ol-7b:base by @Jintao-Huang in #2660
• fix hub by @tastelikefeet in #2661
• fix liger by @tastelikefeet in #2666
• support megrez by @Jintao-Huang in #2667
• fix unsloth resume training by @tastelikefeet in #2668
• fix dataset by @Jintao-Huang in #2670
• Fix bugs by @tastelikefeet in #2671
• fix deepseek_vl2 by @Jintao-Huang in #2675
• support adapters by @Jintao-Huang in #2633
• Support megrez omni by @Jintao-Huang in #2674
• fix docs by @Jintao-Huang in #2679
• fix megrez_omni by @Jintao-Huang in #2680
• fix infer by @Jintao-Huang in #2681
• Fix bugs by @Jintao-Huang in #2687
• Update readme by @Jintao-Huang in #2579
• update wechat by @Jintao-Huang in #2694
• fix readme by @Jintao-Huang in #2696
• Fix web-ui by @tastelikefeet in #2693
• Fix readme by @Jintao-Huang in #2697
• Update banner by @Jintao-Huang in #2699
• fix use_reentrant by @Jintao-Huang in #2700
• update examples by @Jintao-Huang in #2703
• fix eval strategy by @Jintao-Huang in #2707
• Update FAQ by @slin000111 in #2706
• qwen to Qwen by @Jintao-Huang in #2708
• fix timeout & web-ui by @Jintao-Huang in #2709
• Fix multi lora by @tastelikefeet in #2711
• support Qwen/QVQ-72B-Preview by @Jintao-Huang in #2712
• update examples by @Jintao-Huang in #2714
• fix deploy request_config by @Jintao-Huang in #2718
• fix examples by @Jintao-Huang in #2719
• fix gptq group_size by @Jintao-Huang in #2720
• Better error messages by @Jintao-Huang in #2721

New Contributors

• @yrk111222 made their first contribution in #2574
• @lxline made their first contribution in #2650

Full Changelog: v2.6.1...v3.0.0

v2.6.1

New Models:

1. Marco-o1
2. mPLUG-Owl3-7B-241101
3. QwQ-32B-Preview
4. glm-edge, glm-edge-v

New Datasets:

1. OpenO1-SFT

What's Changed

• support part tuner replace_key False by @tastelikefeet in #2438
• bump ms version by @tastelikefeet in #2449
• remove useless code by @tastelikefeet in #2453
• fix qwen2-vl position_ids by @Jintao-Huang in #2461
• fix peft is_multimodal by @Jintao-Huang in #2462
• fix qwen2vl pt infer by @Jintao-Huang in #2463
• [TorchAcc] Update padding strategy when using persistent cache by @eedalong in #2464
• fix kto by @Jintao-Huang in #2478
• Update Common QA by @slin000111 in #2475
• fix awq quant device_map by @Jintao-Huang in #2488
• Fix preprocess num proc by @Jintao-Huang in #2492
• Support marco o1 by @Jintao-Huang in #2496
• fix eval_dataset no by @Jintao-Huang in #2497
• support batch flattening collator by @eedalong in #2499
• fix latex-ocr by @Jintao-Huang in #2510
• support mPLUG-Owl3 241101 by @LukeForeverYoung in #2515
• support qwq by @Jintao-Huang in #2520
• support glm-edge & glm-edge-v by @Jintao-Huang in #2526

New Contributors

• @eedalong made their first contribution in #2464

Full Changelog: v2.6.0...v2.6.1

v2.6.0

English Version

Models

1. Support Qwen2.5 coder models

Feature

1. Correct and support the new loss and gradient accumulation algorithm from transformers.trainer

中文版本

模型

1. 支持千问coder系列模型

功能

1. 支持新的transformers loss和GA计算算法，并修正了其中的bug

What's Changed

• fix gptq ovis quant (inputs_embeds) by @Jintao-Huang in #2378
• [TorchAcc] fix qwen2 for transformers>=4.45 by @baoleai in #2379
• fix trl transformers==4.46 compat by @Jintao-Huang in #2385
• fix deploy stream media_type by @Jintao-Huang in #2393
• fix_mplug_owl3_cut_shape by @Jintao-Huang in #2394
• fix swift deploy (lmdeploy stream) by @Jintao-Huang in #2397
• fix lmdeploy warning & gptq-int4 support by @Jintao-Huang in #2401
• support qwen2.5-coder by @Jintao-Huang in #2400
• fix qwen_vl npu by @Jintao-Huang in #2408
• fix model path by @yingdachen in #2410
• fix qwen_vl dpo by @Jintao-Huang in #2411
• Compat transformers 4.46.2 loss by @Jintao-Huang in #2413
• Fix molmo infer by @Jintao-Huang in #2419
• Fix dataset map by @Jintao-Huang in #2421
• Support qwen2 5 coder series model by @Jintao-Huang in #2422
• fix PPO by @hjh0119 in #2377
• fix docs by @Jintao-Huang in #2425
• compat transformers==4.47 by @Jintao-Huang in #2426
• fix internvl2 lmdeploy>=0.6 deploy by @Jintao-Huang in #2429

Full Changelog: v2.5.2...v2.6.0

v2.5.2

New Models:

1. emu3-chat
2. aya-expanse
3. ministral-8b-inst-2410

New Datasets:

1. llava-video-178k
2. moviechat-1k-test

What's Changed

• fix system by @Jintao-Huang in #2307
• Support Llava-video-178k dataset, a video dataset by @DaozeZhang in #2309
• update molmo readme by @mi804 in #2313
• fix molmo device_map by @Jintao-Huang in #2311
• support emu3-chat by @mi804 in #2322
• Support Moviechat-1k-test dataset, a video datatset by @DaozeZhang in #2319
• fix custom vllm eval args by @Yunnglin in #2325
• fix enable_cache by @Jintao-Huang in #2332
• feat: Add aya models by @Aunali321 in #2335
• compat transformers 4.46 by @Jintao-Huang in #2341
• fix streaming by @tastelikefeet in #2350
• fix doc by @tastelikefeet in #2355
• fix internvl2 eval by @Jintao-Huang in #2362
• fix transformers>=4.46 loss by @Jintao-Huang in #2365
• Support Ministral-8b-inst-2410 by @DaozeZhang in #2371
• fix custom loss by @Jintao-Huang in #2374

New Contributors

• @Aunali321 made their first contribution in #2335

Full Changelog: v2.5.1...v2.5.2

v2.5.1

English Version

New Features:

1. Support for RM for LLM and MLLM, as well as PPO for LLM.

New Models:

1. molmo series
2. mplug-owl3 1b/2b
3. llama3.1-nemotron-70b-instruct
4. deepseek-janus

中文版

新特性：

1. 支持LLM和MLLM的RM, 以及LLM的PPO.

新模型：

1. molmo系列
2. mplug-owl3 1b/2b
3. llama3.1-nemotron-70b-instruct
4. deepseek-janus

What's Changed

• support reward modeling and ppo by @hjh0119 in #2093
• fix rescale_image by @tastelikefeet in #2223
• fix deploy timeout by @Jintao-Huang in #2230
• Fix qwen2 vl batch size by @Jintao-Huang in #2239
• Fix ovis1.6 infer by @Jintao-Huang in #2242
• fix publish by @Jintao-Huang in #2245
• fix qwen2vl video args by @Jintao-Huang in #2251
• Update FAQ by @slin000111 in #2252
• Support molmo series vlm by @mi804 in #2260
• fix sft system by @Jintao-Huang in #2262
• support mplug3 1b/2b by @Jintao-Huang in #2271
• Fix deploy openai by @Jintao-Huang in #2278
• fix vllm ignore suffix by @Jintao-Huang in #2287
• fix lora_target_modules in PPO by @hjh0119 in #2274
• fix quant blocks by @Jintao-Huang in #2292
• Support Llama3.1-nemotron-70b-inst-hf by @DaozeZhang in #2299
• fix ppo citest by @hjh0119 in #2302
• support deepseek-janus by @Jintao-Huang in #2300
• update molmo by @Jintao-Huang in #2305

New Contributors

• @mi804 made their first contribution in #2260

Full Changelog: v2.5.0...v2.5.1

v2.5.0

English Version

New Features:

1. Support for GPTQ & AWQ quantization of multimodal LLMs.
2. Support for dynamic addition of gradient checkpointing in the ViT section to reduce memory consumption.
3. Support for multimodal model pre-training.

New Models:

1. llama3.2, llama3.2-vision series
2. got-ocr2
3. llama3.1-omni
4. ovis1.6-gemma2
5. pixtral-12b
6. telechat2-115b
7. mistral-small-inst-2409

New Datasets:

1. egoschema

中文版

新特性：

1. 支持多模态LLM的gptq&awq量化.
2. 支持动态在vit部分增加gradient_checkpointing, 减少显存消耗.
3. 支持多模态模型预训练.

新模型：

1. llama3.2, llama3.2-vision系列
2. got-ocr2
3. llama3.1-omni
4. ovis1.6-gemma2
5. pixtral-12b
6. telechat2-115b
7. mistral-small-inst-2409

新数据集：

1. egoschema

What's Changed

• fix win32 quote by @tastelikefeet in #2065
• Fix yi template by @Jintao-Huang in #2067
• fix rlhf zero3 by @Jintao-Huang in #2072
• Update qwen2-vl最佳实践.md by @Digital2Slave in #2058
• fix RLHF & max_length by @Jintao-Huang in #2075
• Support Mistral-small-inst-2409 by @DaozeZhang in #2077
• dynamic vit gradient_checkpointing by @Jintao-Huang in #2071
• fix qwen2.5 template by @Jintao-Huang in #2081
• fix multiprocess remove_columns by @Jintao-Huang in #2088
• Support for fine-tuning Pixtral-12B. by @Jintao-Huang in #2090
• fix vllm tokenizer by @Jintao-Huang in #2099
• Fix the issue with media_offset in owl3 when batch_size > 1. by @LukeForeverYoung in #2100
• fix deploy openai compat by @Jintao-Huang in #2101
• fix dataset preprocess by @Jintao-Huang in #2102
• fix cpu infer device_map by @Jintao-Huang in #2103
• fix infer device_map by @Jintao-Huang in #2105
• Support for fine-tuning Llama 3.1 Omni. by @Jintao-Huang in #2106
• support vllm & qwen2-vl video by @Jintao-Huang in #2110
• Fix qwen2-vl zero2/3 by @Jintao-Huang in #2114
• fix qwen2-audio by @Jintao-Huang in #2116
• [TorchAcc] fix: fix find_labels and can_return_loss by @baoleai in #2120
• support got-ocr2 by @Jintao-Huang in #2123
• Support for fine-tuning and deployment of the Llama 3.2 series models. by @Jintao-Huang in #2130
• Support fine-tuning MLLama. by @Jintao-Huang in #2132
• fix not impl bug by @Jintao-Huang in #2134
• Compat vllm & qwen2-vl by @Jintao-Huang in #2136
• fix requirements by @Jintao-Huang in #2137
• fix model_type by @Jintao-Huang in #2138
• fix deploy vllm by @Jintao-Huang in #2141
• fix docs by @Jintao-Huang in #2142
• Fix VLM lora by @tastelikefeet in #2140
• support mllm pt by @Jintao-Huang in #2146
• [TorchAcc] fix: fix save config and additional file for swift and peft by @baoleai in #2149
• update quant_device_map by @Jintao-Huang in #2154
• fix qwen2-audio by @Jintao-Huang in #2157
• fix template by @Jintao-Huang in #2160
• compat trl==0.11 by @Jintao-Huang in #2169
• Support for Egoschema, a new video dataset by @DaozeZhang in #2173
• Update FAQ by @slin000111 in #2165
• fix mplug-owl3 infer by @Jintao-Huang in #2175
• Support quant mllm by @Jintao-Huang in #2177
• update setup.py by @Jintao-Huang in #2205
• fix bugs by @Jintao-Huang in #2207
• support telechat2 by @Jintao-Huang in #2210
• Support ovis 1.6 by @Jintao-Huang in #2211

New Contributors

• @Digital2Slave made their first contribution in #2058
• @LukeForeverYoung made their first contribution in #2100

Full Changelog: v2.4.2...v2.5.0

v2.4.2

English Version

New Features:

1. RLHF reconstruction, supporting all integrated multimodal models, compatible with DeepSpeed Zero2/Zero3, and supports lazy_tokenize.
2. Using infer_backend vllm, inference deployment of multimodal large models supports multiple images.

New Models:

1. Qwen2.5 series, Qwen2-vl-72b series (base/instruct/gptq-int4/gptq-int8/awq)
2. Qwen2.5-math, Qwen2.5-coder series (base/instruct)
3. Deepseek-v2.5

New Datasets:

1. longwriter-6k-filtered

中文版

新特性：

1. RLHF重构，支持所有已接入的多模态模型，兼容deepspeed zero2/zero3，支持lazy_tokenize
2. 使用infer_backend vllm，推理部署多模态大模型支持多图.

新模型：

1. qwen2.5系列、qwen2-vl-72b系列（base/instruct/gptq-int4/gptq-int8/awq）
2. qwen2.5-math, qwen2.5-coder系列（base/instruct）
3. deepseek-v2.5

新数据集：

1. longwriter-6k-filtered

What's Changed

• fix model_mapping by @Jintao-Huang in #1982
• fix patch by @Jintao-Huang in #1997
• fix by @tastelikefeet in #1995
• Support Deepseek 2.5 by @DaozeZhang in #1992
• fix EngineGenerationConfig importError of lmdeploy by @irexyc in #1990
• compat lmdeploy==0.6 by @Jintao-Huang in #2001
• Fix rlhf ref model by @Jintao-Huang in #2003
• Support llava1.6-llama3.1-8b-instruct by @DaozeZhang in #2005
• fix lmdeploy qwen_vl by @Jintao-Huang in #2009
• Add FAQ Document by @slin000111 in #2013
• Florence use _post_encode & template support encoder-decoder by @Jintao-Huang in #2019
• refactor rlhf by @Jintao-Huang in #1975
• update code by @Jintao-Huang in #2028
• fix deploy eval kill by @Jintao-Huang in #2029
• Fix olora and pissa saving files which will cause the second saving failed by @tastelikefeet in #2032
• fix rlhf & zero3 by @Jintao-Huang in #2034
• Add longwriter filtered dataset by @wangxingjun778 in #2037
• fix mplug-owl3 by @Jintao-Huang in #2042
• support multi bbox grounding by @tastelikefeet in #2045
• Fix multi coordinate grounding by @tastelikefeet in #2047
• llama3 tool calling by @tastelikefeet in #2048
• update docs by @Jintao-Huang in #2050
• fix qwen2vl position_ids by @Jintao-Huang in #2051
• support qwen2-vl-base by @Jintao-Huang in #2052
• Support qwen2.5 by @Jintao-Huang in #2054
• support qwen2-vl -72b/qwen2.5-math/qwen2.5-coder by @Jintao-Huang in #2056
• vllm support mutli image by @Jintao-Huang in #2059
• support qwen2.5-coder by @Jintao-Huang in #2061
• fix notebook gradio by @Jintao-Huang in #2062
• update qwen2-vl docs by @Jintao-Huang in #2063

New Contributors

• @irexyc made their first contribution in #1990
• @wangxingjun778 made their first contribution in #2037

Full Changelog: v2.4.1...v2.4.2

v2.4.1

English Version

New Features:

1. Inference and deployment support for logprobs.
2. RLHF support for lazy_tokenize.
3. Multimodal model support for neftune.
4. dynamic_eos compatibility with glm4 series and other models.

New Models:

1. mplug-owl3, best practices can be found here.
2. yi-coder 1.5b, base/chat model of 9b.
3. minicpm3-4b.
4. reflection-llama3.1-70b.

中文版

新功能：

1. 推理和部署支持 logprobs。
2. RLHF支持lazy_tokenize。
3. 多模态模型支持neftune。
4. dynamic_eos兼容glm4系列等模型。

新模型：

1. mplug-owl3，最佳实践可以查看这里。
2. yi-coder 1.5b、9b 的base/chat模型。
3. minicpm3-4b。
4. reflection-llama3.1-70b。

What's Changed

• Fix push_to_hub when last-checkpoint by @tastelikefeet in #1897
• support custom quantized dataset by @tastelikefeet in #1893
• fix push_to_ms by @tastelikefeet in #1901
• support logprobs by @Jintao-Huang in #1900
• deepspeed use cosine lr_schduler by @Jintao-Huang in #1907
• update docs by @Jintao-Huang in #1908
• fix web-ui push to hub strategy by @tastelikefeet in #1909
• Refactor docs by @tastelikefeet in #1912
• refactor docs by @tastelikefeet in #1915
• [TorchAcc] perf: use xm.save instead of torch.save by @baoleai in #1916
• update wechat by @tastelikefeet in #1925
• update docs & fix bug by @Jintao-Huang in #1926
• [TorchAcc] fix: fix the judegement of fsdp_num by @baoleai in #1903
• Support deploy & logprobs by @Jintao-Huang in #1833
• fix typing by @Jintao-Huang in #1933
• fix swift deploy by @Jintao-Huang in #1936
• update yi-coder by @Jintao-Huang in #1942
• fix lmdeploy seed by @Jintao-Huang in #1945
• fix do_sample by @Jintao-Huang in #1946
• refactor rlhf by @hjh0119 in #1885
• fix file rename error in megatron when there are multi process by @Zhikaiiii in #1948
• fix qwen2-vl & video by @Jintao-Huang in #1950
• support dynamic_eos by @Jintao-Huang in #1947
• fix rlhf by @hjh0119 in #1949
• Support minicpm 3 by @Jintao-Huang in #1952
• Add lazy_tokenize to RLHF by @tastelikefeet in #1956
• Fix data info print in rlhf by @tastelikefeet in #1964
• Fix the lora hook by @tastelikefeet in #1963
• fix bugs by @Jintao-Huang in #1959
• support mplug_owl3 by @Jintao-Huang in #1957
• update docs by @Jintao-Huang in #1970
• Add reflection model by @tastelikefeet in #1973
• fix typo by @Jintao-Huang in #1980

Full Changelog: v2.4.0...v2.4.1

v2.4.0

English Version

New Features:

1. Support for Liger, which accommodates models like LLaMA, Qwen, Mistral, etc., and reduces memory usage by 10% to 60%.
2. Support for custom loss function training using a registration mechanism.
3. Training now supports pushing models to ModelScope and HuggingFace.
4. Support for the freeze_vit parameter to control the behavior of full parameter training for multimodal models.

New Models:

1. Qwen2-VL series includes GPTQ/AWQ quantized models. For best practices, see here.
2. InternVL2 AWQ quantized models.

New Datasets:

1. qwen2-pro series

中文版

新特性：

1. 支持 Liger训练LLaMA、Qwen、Mistral 等模型，内存使用降低 10% 至 60%。
2. 支持使用注册机制进行自定义损失函数的训练。
3. 训练支持将模型推送至 ModelScope 和 HuggingFace。
4. 支持 freeze_vit 参数，以控制多模态模型全参数训练的行为。

新模型：

1. Qwen2-VL 系列包括 GPTQ/AWQ 量化模型，最佳实践可以查看这里。
2. InternVL2 AWQ 量化模型。

新数据集：

1. qwen2-pro 系列

What's Changed

• compat with vllm==0.5.5 by @Jintao-Huang in #1812
• Support zero2 offload by @Jintao-Huang in #1814
• fix mp+ddp & resume_from_checkpoint by @Jintao-Huang in #1815
• fix preprocess_num_proc by @Jintao-Huang in #1818
• Support liger by @tastelikefeet in #1819
• fix dora deployment by @tastelikefeet in #1821
• Support register loss func by @Jintao-Huang in #1822
• use default-lora by @Jintao-Huang in #1823
• fix minicpm-v 2.6 infer device_map by @Jintao-Huang in #1832
• Fix code by @tastelikefeet in #1824
• fix inject by @tastelikefeet in #1835
• support qwen2-pro dataset by @Jintao-Huang in #1834
• add ddp_timeout parameter by @tastelikefeet in #1836
• fix internlm-xcomposer rlhf by @hjh0119 in #1838
• Support eval_nproc by @tastelikefeet in #1843
• support qwen2-vl by @Jintao-Huang in #1842
• Add internvl2 awq models by @tastelikefeet in #1846
• Fix some datasets for streaming by @tastelikefeet in #1848
• Fix Pissa and OLoRA by @tastelikefeet in #1852
• Support qwen2 vl grounding by @tastelikefeet in #1854
• support qwen2-vl & video finetune by @Jintao-Huang in #1849
• Update new datasets by @tastelikefeet in #1855
• update qwen2-vl docs by @Jintao-Huang in #1856
• update qwen2-vl docs by @Jintao-Huang in #1858
• fix qwen2-vl docs by @Jintao-Huang in #1861
• fix requirements by @Jintao-Huang in #1864
• update docs qwen2-vl by @Jintao-Huang in #1869
• Support faster data map by @tastelikefeet in #1871
• [TorchAcc] fix serveral bugs for torchacc FSDP. by @baoleai in #1872
• Add train record by @tastelikefeet in #1873
• Fix num_proc by @Jintao-Huang in #1874
• Fix neftune doc by @tastelikefeet in #1875
• add duet by @tastelikefeet in #1877
• use model.generation_config by @Jintao-Huang in #1850
• Support freeze vit by @Jintao-Huang in #1880
• support qwen2-vl gptq awq by @Jintao-Huang in #1884
• Refactor push_to_hub by @tastelikefeet in #1883
• Fix push to hub logic by @tastelikefeet in #1888
• add vllm lmdeploy benchmark by @Jintao-Huang in #1889
• Add some warnings and fix RLHF by @tastelikefeet in #1890

Full Changelog: v2.3.2...v2.4.0