v0.5.2: Block Expansion, Qwen1.5 Models

New features

• Support block expansion in LLaMA Pro, see tests/llama_pro.py for usage
• Add use_rslora option for the LoRA method

New models

• Base models
  • Qwen1.5 (0.5B/1.8B/4B/7B/14B/72B)
  • DeepSeekMath-7B-Base
  • DeepSeekCoder-7B-Base-v1.5
  • Orion-14B-Base
• Instruct/Chat models
  • Qwen1.5-Chat (0.5B/1.8B/4B/7B/14B/72B)
  • MiniCPM-2B-SFT/DPO
  • DeepSeekMath-7B-Instruct
  • DeepSeekCoder-7B-Instruct-v1.5
  • Orion-14B-Chat
  • Orion-14B-Long-Chat
  • Orion-14B-RAG-Chat
  • Orion-14B-Plugin-Chat

New datasets

• Supervised fine-tuning datasets
  • SlimOrca (en)
  • Dolly (de)
  • Dolphin (de)
  • Airoboros (de)
• Preference datasets
  • Orca DPO (de)

Bug fix

• Fix torch_dtype check in export model by @fenglui in #2262
• Add Russian locale to LLaMA Board by @seoeaa in #2264
• Remove manually set use_cache in export model by @yhyu13 in #2266
• Fix DeepSpeed Zero3 training with MoE models by @A-Cepheus in #2283
• Add a patch for full training of the Mixtral model using DeepSpeed Zero3 by @ftgreat in #2319
• Fix bug in data pre-processing by @lxsyz in #2411
• Add German sft and dpo datasets by @johannhartmann in #2423
• Add version checking in test_toolcall.py by @mini-tiger in #2435
• Enable parsing of SlimOrca dataset by @mnmueller in #2462
• Add tags for models when pushing to hf hub by @younesbelkada in #2474
• Fix #2189 #2268 #2282 #2320 #2338 #2376 #2388 #2394 #2397 #2404 #2412 #2420 #2421 #2436 #2438 #2471 #2481