XTuner Release V0.1.19

What's Changed

• [Fix] LLaVA-v1.5 official settings by @LZHgrla in #594
• [Feature] Release LLaVA-Llama-3-8B by @LZHgrla in #595
• [Improve] Add single-gpu configs for LLaVA-Llama-3-8B by @LZHgrla in #596
• [Docs] Add wisemodel badge by @LZHgrla in #597
• [Feature] Support load_json_file with json.load by @HIT-cwh in #610
• [Feature]Support Mircosoft Phi3 4K&128K Instruct Models by @pppppM in #603
• [Fix] set dataloader_num_workers=4 for llava training by @LZHgrla in #611
• [Fix] Do not set attn_implementation to flash_attention_2 or sdpa if users already set it in XTuner configs. by @HIT-cwh in #609
• [Release] LLaVA-Phi-3-mini by @LZHgrla in #615
• Update README.md by @eltociear in #608
• [Feature] Refine sp api by @HIT-cwh in #619
• [Feature] Add conversion scripts for LLaVA-Llama-3-8B by @LZHgrla in #618
• [Fix] Convert nan to 0 just for logging by @HIT-cwh in #625
• [Docs] Delete colab and add speed benchmark by @HIT-cwh in #617
• [Feature] Support dsz3+qlora by @HIT-cwh in #600
• [Feature] Add qwen1.5 110b cfgs by @HIT-cwh in #632
• check transformers version before dispatch by @HIT-cwh in #672
• [Fix] convert_xtuner_weights_to_hf with frozen ViT by @LZHgrla in #661
• [Fix] Fix batch-size setting of single-card LLaVA-Llama-3-8B configs by @LZHgrla in #598
• [Feature] add HFCheckpointHook to auto save hf model after the whole training phase by @HIT-cwh in #621
• Remove test info in DatasetInfoHook by @hhaAndroid in #622
• [Improve] Support safe_serialization saving by @LZHgrla in #648
• bump version to 0.1.19 by @HIT-cwh in #675

New Contributors

• @eltociear made their first contribution in #608

Full Changelog: v0.1.18...v0.1.19

XTuner Release V0.1.18

What's Changed

• set dev version by @LZHgrla in #537
• [Fix] Fix typo by @KooSung in #547
• [Feature] support mixtral varlen attn by @HIT-cwh in #564
• [Feature] Support qwen sp and varlen attn by @HIT-cwh in #565
• [Fix]Fix attention mask in default_collate_fn by @pppppM in #567
• Accept pytorch==2.2 as the bugs in triton 2.2 are fixed by @HIT-cwh in #548
• [Feature] Refine Sequence Parallel API by @HIT-cwh in #555
• [Fix] Enhance split_list to support value at the beginning by @LZHgrla in #568
• [Feature] Support cohere by @HIT-cwh in #569
• [Fix] Fix rotary_seq_len in varlen attn in qwen by @HIT-cwh in #574
• [Docs] Add sequence parallel related to readme by @HIT-cwh in #578
• [Bug] SUPPORT_FLASH1 = digit_version(torch.version) >= digit_version('2… by @HIT-cwh in #587
• [Feature] Support Llama 3 by @LZHgrla in #585
• [Docs] Add llama3 8B readme by @HIT-cwh in #588
• [Bugs] Check whether cuda is available when choose torch_dtype in sft.py by @HIT-cwh in #577
• [Bugs] fix bugs in tokenize_ftdp_datasets by @HIT-cwh in #581
• [Feature] Support qwen moe by @HIT-cwh in #579
• [Docs] Add tokenizer to sft in Case 2 by @HIT-cwh in #583
• bump version to 0.1.18 by @HIT-cwh in #590

Full Changelog: v0.1.17...v0.1.18

XTuner Release V0.1.17

What's Changed

• [Fix] Fix PyPI package by @LZHgrla in #540
• [Improve] Add LoRA fine-tuning configs for LLaVA-v1.5 by @LZHgrla in #536
• [Configs] Add sequence_parallel_size and SequenceParallelSampler to configs by @HIT-cwh in #538
• Check shape of attn_mask during attn forward by @HIT-cwh in #543
• bump version to v0.1.17 by @LZHgrla in #542

Full Changelog: v0.1.16...v0.1.17

XTuner Release V0.1.16

What's Changed

• set dev version by @LZHgrla in #487
• Fix type error when the visual encoder is not CLIP by @hhaAndroid in #496
• [Feature] Support Sequence parallel by @HIT-cwh in #456
• [Bug] Fix bugs in flash_attn1_pytorch by @HIT-cwh in #513
• [Fix] delete cat in varlen attn by @HIT-cwh in #508
• bump version to 0.1.16 by @HIT-cwh in #520
• [Improve] Add generation_kwargs for EvaluateChatHook by @LZHgrla in #501
• [Bugs] Fix bugs when training in non-distributed env by @HIT-cwh in #522
• [Fix] Support transformers>=4.38 and require transformers>=4.36.0 by @HIT-cwh in #494
• [Fix] Fix throughput hook by @HIT-cwh in #527
• Update README.md by @JianxinDong in #528
• [Fix] dispatch internlm rote by @HIT-cwh in #530
• Limit transformers != 4.38 by @HIT-cwh in #531

New Contributors

• @hhaAndroid made their first contribution in #496
• @JianxinDong made their first contribution in #528

Full Changelog: v0.1.15...v0.1.16

XTuner Release V0.1.15

What's Changed

• set dev version by @LZHgrla in #437
• [Bugs] Fix bugs when using EpochBasedRunner by @HIT-cwh in #439
• [Feature] Support processing ftdp dataset and custom dataset offline by @HIT-cwh in #410
• Update prompt_template.md by @aJupyter in #441
• [Doc] Split finetune_custom_dataset.md to 6 parts by @HIT-cwh in #445
• [Improve] Add notes for demo_data examples by @LZHgrla in #458
• [Fix] Gemma prompt_template by @LZHgrla in #454
• [Feature] Add LLaVA-InternLM2-1.8B by @LZHgrla in #449
• show more info about datasets by @amulil in #464
• [Fix] write text with encoding='utf-8' by @LZHgrla in #477
• support offline process llava data by @HIT-cwh in #448
• [Fix] msagent_react_map_fn error by @LZHgrla in #470
• [Improve] Reorg xtuner/configs/llava/ configs by @LZHgrla in #483
• limit pytorch version <= 2.1.2 as there may be some bugs in triton2… by @HIT-cwh in #452
• [Fix] fix batch sampler bs by @HIT-cwh in #468
• bump version to v0.1.15 by @LZHgrla in #486

New Contributors

• @aJupyter made their first contribution in #441

Full Changelog: v0.1.14...v0.1.15

XTuner Release V0.1.14

What's Changed

• set dev version by @LZHgrla in #341
• [Feature] More flexible TrainLoop by @LZHgrla in #348
• [Feature]Support CEPH by @pppppM in #266
• [Improve] Add --repetition-penalty for xtuner chat by @LZHgrla in #351
• [Feature] Support MMBench DDP Evaluate by @pppppM in #300
• [Fix] KeyError of encode_fn by @LZHgrla in #361
• [Fix] Fix batch_size of full fine-tuing LLaVA-InternLM2 by @LZHgrla in #360
• [Fix] Remove system for alpaca_map_fn by @LZHgrla in #363
• [Fix] Use DEFAULT_IMAGE_TOKEN instead of '<image>' by @LZHgrla in #353
• [Feature] Support internlm sft by @HIT-cwh in #302
• [Fix] Add attention_mask for default_collate_fn by @LZHgrla in #371
• [Fix] Update requirements by @LZHgrla in #369
• [Fix] Fix rotary_base, add colors_map_fn to DATASET_FORMAT_MAPPING and rename 'internlm_repo' to 'intern_repo' by @HIT-cwh in #372
• update by @HIT-cwh in #377
• Delete useless codes and refactor process_untokenized_datasets by @HIT-cwh in #379
• [Feature] support flash attn 2 in internlm1, internlm2 and llama by @HIT-cwh in #381
• [Fix] Fix installation docs of mmengine in intern_repo_dataset.md by @LZHgrla in #384
• [Fix] Update InternLM2 apply_rotary_pos_emb by @LZHgrla in #383
• [Feature] support saving eval output before save checkpoint by @HIT-cwh in #385
• fix lr scheduler setting by @gzlong96 in #394
• [Fix] Remove pre-defined system of alpaca_zh_map_fn by @LZHgrla in #395
• [Feature] Support Qwen1.5 by @LZHgrla in #407
• [Fix] Fix no space in chat output using InternLM2. (#357) by @KooSung in #404
• [Fix] typo: --system-prompt to --system-template by @LZHgrla in #406
• [Improve] Add output_with_loss for dataset process by @LZHgrla in #408
• [Fix] Fix dispatch to support transformers>=4.36 & Add USE_TRITON_KERNEL environment variable by @HIT-cwh in #411
• [Feature]Add InternLM2-Chat-1_8b full config by @KMnO4-zx in #396
• [Fix] Fix extract_json_objects by @fanqiNO1 in #419
• [Fix] Fix pth_to_hf error by @LZHgrla in #426
• [Feature] Support Gemma by @PommesPeter in #429
• add refcoco to llava by @LKJacky in #425
• [Fix] Inconsistent BatchSize of LengthGroupedSampler by @LZHgrla in #436
• bump version to v0.1.14 by @LZHgrla in #431

New Contributors

• @gzlong96 made their first contribution in #394
• @KooSung made their first contribution in #404
• @KMnO4-zx made their first contribution in #396
• @fanqiNO1 made their first contribution in #419
• @PommesPeter made their first contribution in #429
• @LKJacky made their first contribution in #425

Full Changelog: v0.1.13...v0.1.14

XTuner Release V0.1.13

What's Changed

• set dev version by @LZHgrla in #329
• [Docs] Add LLaVA-InternLM2 results by @LZHgrla in #332
• Update internlm2_chat template by @RangiLyu in #339
• [Fix] Fix examples demo_data configs by @LZHgrla in #334
• bump version to v0.1.13 by @LZHgrla in #340

New Contributors

• @RangiLyu made their first contribution in #339

Full Changelog: v0.1.12...v0.1.13

XTuner Release V0.1.12

What's Changed

• set dev version by @LZHgrla in #281
• [Fix] Update LLaVA results by @LZHgrla in #283
• [Fix] Update LLaVA results (based on VLMEvalKit) by @LZHgrla in #285
• [Fix] Fix filter bug for test data by @LZHgrla in #293
• [Fix] Fix ConcatDataset by @LZHgrla in #298
• [Improve] Redesign the prompt_template by @LZHgrla in #294
• [Fix] Fix errors about stop_words by @LZHgrla in #313
• [Fix] Fix Mixtral LoRA setting by @LZHgrla in #312
• [Feature] Support DeepSeek-MoE by @LZHgrla in #311
• [Fix] Set torch.optim.AdamW as the default optimizer by @LZHgrla in #318
• [FIx] Fix pth_to_hf for LLaVA model by @LZHgrla in #316
• [Improve] Add demo_data examples by @LZHgrla in #278
• [Feature] Support InternLM2 by @LZHgrla in #321
• [Fix] Fix the resume of seed by @LZHgrla in #309
• [Feature] Accelerate xtuner xxx by @pppppM in #307
• [Fix] Fix InternLM2 url by @LZHgrla in #325
• [Fix] Limit the version of python, >=3.8, <3.11 by @LZHgrla in #327
• [Fix] Add trust_remote_code=True for AutoModel by @LZHgrla in #328
• [Docs] Improve README by @LZHgrla in #326
• bump verion to v0.1.12 by @pppppM in #323

Full Changelog: v0.1.11...v0.1.12

XTuner Release V0.1.11

What's Changed

• [Docs] Update Mixtral 8x7b docs by @LZHgrla in #265
• [Bug] Fix bugs when chat with --lagent by @ooooo-create in #269
• [Feature] Support setting the random seed for xtuner train by @LZHgrla in #272
• [Fix] Update Mixtral-8x7b repo_id; Add mixtral template by @LZHgrla in #275
• [Feature] Add Qwen 72b config by @xiaohangguo in #254
• [Improve] Add notes for requirements; Improve badges by @LZHgrla in #277
• [Feature] Support LLaVA by @LZHgrla in #196
• [Feature] Add warmup for all configs by @LZHgrla in #274
• bump version to v0.1.11 by @LZHgrla in #280

New Contributors

• @ooooo-create made their first contribution in #269

Full Changelog: v0.1.10...v0.1.11

XTuner Release V0.1.10

What's Changed

• [Feature] Support for full-scale fine-tuning of large language models such as Llama2 70B. by @HIT-cwh in #231
• [Feature] Support to process internlm-style datasets by @HIT-cwh in #232
• [Fix] Fix bugs of llama dispatch by @LZHgrla in #229
• [Bug] Resolve the bug introduced by higher versions of DeepSpeed. by @HIT-cwh in #240
• [Doc] Add internlm dataset doc by @HIT-cwh in #242
• add wizardcoder template by @xiaohangguo in #243
• [Feature] Filter negative labels by @xiaohangguo in #244
• [Bug] Support auto detect torch_dtype in chat.py by @HIT-cwh in #250
• [Feature] Add Qwen 1.8b config by @xiaohangguo in #252
• [Feature]Add Deepseekcoder config by @xiaohangguo in #253
• [Bug] Fix bugs when grad clip == 0 by @HIT-cwh in #262
• [Feature] Support Mixtral 8x7b by @pppppM in #263
• bump version to v0.1.10 by @pppppM in #264

New Contributors

• @xiaohangguo made their first contribution in #243
• @pppppM made their first contribution in #263

Full Changelog: v0.1.9...v0.1.10