capitalization

Author: ebsmothers

README.md

@@ -52,13 +52,13 @@ We're always adding new models, but feel free to [file an issue](https://github.
 torchtune provides the following finetuning recipes for training on one or more devices.
 
 
-| Finetuning method                          | Devices | Recipe  | Example config(s) |
+| Finetuning Method                          | Devices | Recipe  | Example Config(s) |
 |:-:|:-:|:-:|:-:|
-| Full finetuning  | 1-8 | [full_finetune_single_device](recipes/full_finetune_single_device.py) <br> [full_finetune_distributed](recipes/full_finetune_distributed.py)| [Llama3.1 8B single-device](recipes/configs/llama3_1/8B_full_single_device.yaml) <br> [Llama 3.1 70B distributed](recipes/configs/llama3_1/70B_full.yaml)
-| LoRA finetuning | 1-8  | [lora_finetune_single_device](recipes/lora_finetune_single_device.py) <br> [lora_finetune_distributed](recipes/lora_finetune_distributed.py) | [Qwen2 0.5B single-device](recipes/configs/qwen2/0.5B_lora_single_device.yaml) <br> [Gemma 7B distributed](recipes/configs/gemma/7B_lora.yaml)
-| QLoRA finetuning | 1-8 | [lora_finetune_single_device](recipes/lora_finetune_single_device.py) <br> [lora_finetune_distributed](recipes/lora_finetune_distributed.py)| [Phi3 Mini single-device](recipes/configs/phi3/mini_qlora_single_device.yaml) <br> [Llama 3.1 405B distributed](recipes/configs/llama3_1/405B_qlora.yaml)
-| DoRA/QDoRA finetuning | 1-8 | [lora_finetune_single_device](recipes/lora_finetune_single_device.py) <br> [lora_finetune_distributed](recipes/lora_finetune_distributed.py)| [Llama3 8B QDoRA single-device](recipes/configs/llama3/8B_qdora_single_device.yaml) <br> [Llama3 8B DoRA distributed](recipes/configs/llama3/8B_dora.yaml)
-| Quantization-aware training | 4-8 | [qat_distributed](recipes/qat_distributed.py)| [Llama3 8B QAT](recipes/configs/llama3/8B_qat_full.yaml)
+| Full Finetuning  | 1-8 | [full_finetune_single_device](recipes/full_finetune_single_device.py) <br> [full_finetune_distributed](recipes/full_finetune_distributed.py)| [Llama3.1 8B single-device](recipes/configs/llama3_1/8B_full_single_device.yaml) <br> [Llama 3.1 70B distributed](recipes/configs/llama3_1/70B_full.yaml)
+| LoRA Finetuning | 1-8  | [lora_finetune_single_device](recipes/lora_finetune_single_device.py) <br> [lora_finetune_distributed](recipes/lora_finetune_distributed.py) | [Qwen2 0.5B single-device](recipes/configs/qwen2/0.5B_lora_single_device.yaml) <br> [Gemma 7B distributed](recipes/configs/gemma/7B_lora.yaml)
+| QLoRA Finetuning | 1-8 | [lora_finetune_single_device](recipes/lora_finetune_single_device.py) <br> [lora_finetune_distributed](recipes/lora_finetune_distributed.py)| [Phi3 Mini single-device](recipes/configs/phi3/mini_qlora_single_device.yaml) <br> [Llama 3.1 405B distributed](recipes/configs/llama3_1/405B_qlora.yaml)
+| DoRA/QDoRA Finetuning | 1-8 | [lora_finetune_single_device](recipes/lora_finetune_single_device.py) <br> [lora_finetune_distributed](recipes/lora_finetune_distributed.py)| [Llama3 8B QDoRA single-device](recipes/configs/llama3/8B_qdora_single_device.yaml) <br> [Llama3 8B DoRA distributed](recipes/configs/llama3/8B_dora.yaml)
+| Quantization-Aware Training | 4-8 | [qat_distributed](recipes/qat_distributed.py)| [Llama3 8B QAT](recipes/configs/llama3/8B_qat_full.yaml)
 | Direct Preference Optimization |1-8 | [lora_dpo_single_device](recipes/lora_dpo_single_device.py) <br> [lora_dpo_distributed](recipes/lora_dpo_distributed.py) | [Llama2 7B single-device](recipes/configs/llama2/7B_lora_dpo_single_device.yaml) <br> [Llama2 7B distributed](recipes/configs/llama2/7B_lora_dpo.yaml)
 | Proximal Policy Optimization | 1 |  [ppo_full_finetune_single_device](recipes/ppo_full_finetune_single_device.py) | [Mistral 7B](recipes/configs/mistral/7B_full_ppo_low_memory.yaml)
 | Knowledge Distillation | 1 | [knowledge_distillation_single_device](recipes/knowledge_distillation_single_device.py) | [Qwen2 1.5B -> 0.5B](recipes/configs/qwen2/knowledge_distillation_single_device.yaml)