v0.6.3: Llama-3 and 3x Longer QLoRA

New features

• Support Meta Llama-3 (8B/70B) models
• Support UnslothAI's long-context QLoRA optimization (56,000 context length for Llama-2 7B in 24GB)
• Support previewing local datasets in directories in LlamaBoard by @codemayq in #3291

New algorithms

• Support BAdam algorithm by @Ledzy in #3287
• Support Mixture-of-Depths training by @mlinmg in #3338

New models

• Base models
  • CodeGemma (2B/7B)
  • CodeQwen1.5-7B
  • Llama-3 (8B/70B)
  • Mixtral-8x22B-v0.1
• Instruct/Chat models
  • CodeGemma-7B-it
  • CodeQwen1.5-7B-Chat
  • Llama-3-Instruct (8B/70B)
  • Command R (35B) by @marko1616 in #3254
  • Command R+ (104B) by @marko1616 in #3254
  • Mixtral-8x22B-Instruct-v0.1

Bug fix

• Fix full-tuning batch prediction examples by @khazic in #3261
• Fix output_router_logits of Mixtral by @liu-zichen in #3276
• Fix automodel from pretrained with attn implementation (see huggingface/transformers#30298)
• Fix unable to convergence issue in the layerwise galore optimizer (see huggingface/transformers#30371)
• Fix #3184 #3238 #3247 #3273 #3316 #3317 #3324 #3348 #3352 #3365 #3366