v0.8.3: Neat Packing, Split Evaluation

New features

• 🔥Support contamination-free packing via the neat_packing argument by @chuan298 in #4224
• 🔥Support split evaluation via the eval_dataset argument by @codemayq in #4691
• 🔥Support HQQ/EETQ quantization via the quantization_method argument by @hiyouga
• 🔥Support ZeRO-3 when using BAdam by @Ledzy in #4352
• Support train on the last turn via the mask_history argument by @aofengdaxia in #4878
• Add NPU Dockerfile by @MengqingCao in #4355
• Support building FlashAttention2 in Dockerfile by @hzhaoy in #4461
• Support batch_eval_metrics at evaluation by @hiyouga

New models

• Base models
  • InternLM2.5-7B 📄
  • Gemma2 (9B/27B) 📄
• Instruct/Chat models
  • TeleChat-1B-Chat by @hzhaoy in #4651 📄🤖
  • InternLM2.5-7B-Chat 📄🤖
  • CodeGeeX4-9B-Chat 📄🤖
  • Gemma2-it (9B/27B) 📄🤖

Changes

• Fix DPO cutoff len and deprecate reserved_label_len argument
• Improve loss function for reward modeling

Bug fix

• Fix numpy version by @MengqingCao in #4382
• Improve cli by @kno10 in #4409
• Add tool_format parameter to control prompt by @mMrBun in #4417
• Automatically label npu issue by @MengqingCao in #4445
• Fix flash_attn args by @stceum in #4446
• Fix docker-compose path by @MengqingCao in #4544
• Fix torch-npu dependency by @hashstone in #4561
• Fix deepspeed + pissa by @hzhaoy in #4580
• Improve cli by @injet-zhou in #4590
• Add project by @wzh1994 in #4662
• Fix docstring by @hzhaoy in #4673
• Fix Windows command preview in WebUI by @marko1616 in #4700
• Fix vllm 0.5.1 by @T-Atlas in #4706
• Fix save value head model callback by @yzoaim in #4746
• Fix CUDA Dockerfile by @hzhaoy in #4781
• Fix examples by @codemayq in #4804
• Fix evaluation data split by @codemayq in #4821
• Fix CI by @codemayq in #4822
• Fix #2290 #3974 #4113 #4379 #4398 #4402 #4410 #4419 #4432 #4456 #4458 #4549 #4556 #4579 #4592 #4609 #4617 #4674 #4677 #4683 #4684 #4699 #4705 #4731 #4742 #4779 #4780 #4786 #4792 #4820 #4826