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hiyouga
2024-04-15 22:14:34 +08:00
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@@ -3,41 +3,42 @@ We provide diverse examples about fine-tuning LLMs.
```
examples/
├── lora_single_gpu/
│ ├── pretrain.sh: Do pre-training
│ ├── sft.sh: Do supervised fine-tuning
│ ├── reward.sh: Do reward modeling
│ ├── ppo.sh: Do PPO training
│ ├── dpo.sh: Do DPO training
│ ├── orpo.sh: Do ORPO training
│ ├── pretrain.sh: Do pre-training using LoRA
│ ├── sft.sh: Do supervised fine-tuning using LoRA
│ ├── reward.sh: Do reward modeling using LoRA
│ ├── ppo.sh: Do PPO training using LoRA
│ ├── dpo.sh: Do DPO training using LoRA
│ ├── orpo.sh: Do ORPO training using LoRA
│ ├── prepare.sh: Save tokenized dataset
│ └── predict.sh: Do batch predict
│ └── predict.sh: Do batch predict and compute BLEU and ROUGE scores after LoRA tuning
├── qlora_single_gpu/
│ ├── bitsandbytes.sh: Fine-tune 4/8-bit BNB models
│ ├── gptq.sh: Fine-tune 4/8-bit GPTQ models
│ ├── awq.sh: Fine-tune 4-bit AWQ models
│ └── aqlm.sh: Fine-tune 2-bit AQLM models
│ ├── bitsandbytes.sh: Fine-tune 4/8-bit BNB models using QLoRA
│ ├── gptq.sh: Fine-tune 4/8-bit GPTQ models using QLoRA
│ ├── awq.sh: Fine-tune 4-bit AWQ models using QLoRA
│ └── aqlm.sh: Fine-tune 2-bit AQLM models using QLoRA
├── lora_multi_gpu/
│ ├── single_node.sh: Fine-tune model with Accelerate on single node
│ └── multi_node.sh: Fine-tune model with Accelerate on multiple nodes
│ ├── single_node.sh: Fine-tune model with Accelerate on single node using LoRA
│ └── multi_node.sh: Fine-tune model with Accelerate on multiple nodes using LoRA
├── full_multi_gpu/
│ ├── single_node.sh: Fine-tune model with DeepSpeed on single node
│ └── multi_node.sh: Fine-tune model with DeepSpeed on multiple nodes
│ ├── single_node.sh: Full fine-tune model with DeepSpeed on single node
│ ├── multi_node.sh: Full fine-tune model with DeepSpeed on multiple nodes
│ └── predict.sh: Do batch predict and compute BLEU and ROUGE scores after full tuning
├── merge_lora/
│ ├── merge.sh: Merge LoRA weights into the pre-trained models
│ └── quantize.sh: Quantize fine-tuned model with AutoGPTQ
│ └── quantize.sh: Quantize the fine-tuned model with AutoGPTQ
├── inference/
│ ├── cli_demo.sh: Launch a command line interface
│ ├── api_demo.sh: Launch an OpenAI-style API
│ ├── web_demo.sh: Launch a web interface
│ └── evaluate.sh: Evaluate model on the MMLU benchmark
│ ├── cli_demo.sh: Launch a command line interface with LoRA adapters
│ ├── api_demo.sh: Launch an OpenAI-style API with LoRA adapters
│ ├── web_demo.sh: Launch a web interface with LoRA adapters
│ └── evaluate.sh: Evaluate model on the MMLU/CMMLU/C-Eval benchmarks with LoRA adapters
└── extras/
├── galore/
│ └── sft.sh: Fine-tune model with GaLore
├── loraplus/
│ └── sft.sh: Fine-tune model with LoRA+
│ └── sft.sh: Fine-tune model using LoRA+
├── llama_pro/
│ ├── expand.sh: Expand layers in the model
│ └── sft.sh: Fine-tune expanded model
│ └── sft.sh: Fine-tune the expanded model
└── fsdp_qlora/
└── sft.sh: Fine-tune quantized model with FSDP
└── sft.sh: Fine-tune quantized model with FSDP+QLoRA
```