Update README.md

Moving model conversion instructions further up in the README to draw attention to it.

README.md

@@ -7,12 +7,12 @@ Llama 2 is a new technology that carries potential risks with use. Testing condu
 
 # Table of Contents
 1. [Quick start](#quick-start)
-2. [Fine-tuning](#fine-tuning)
+2. [Model Conversion](#model-conversion-to-hugging-face)
+3. [Fine-tuning](#fine-tuning)
     - [Single GPU](#single-gpu)
     - [Multi GPU One Node](#multiple-gpus-one-node)
     - [Multi GPU Multi Node](#multi-gpu-multi-node)
-3. [Inference](./docs/inference.md)
-4. [Model Conversion](#model-conversion-to-hugging-face)
+4. [Inference](./docs/inference.md)
 5. [Repository Organization](#repository-organization)
 6. [License and Acceptable Use Policy](#license)
 
@@ -46,6 +46,23 @@ pip install -r requirements.txt
 
 **Please note that the above requirements.txt will install PyTorch 2.0.1 version, in case you want to run FSDP + PEFT, please make sure to install PyTorch nightlies.**
 
+# Model conversion to Hugging Face
+The recipes and notebooks in this folder are using the Llama 2 model definition provided by Hugging Face's transformers library.
+
+Given that the original checkpoint resides under models/7B you can install all requirements and convert the checkpoint with:
+
+```bash
+## Install HuggingFace Transformers from source
+pip freeze | grep transformers ## verify it is version 4.31.0 or higher
+
+```bash
+git clone git@github.com:huggingface/transformers.git
+cd transformers
+pip install protobuf
+python src/transformers/models/llama/convert_llama_weights_to_hf.py \
+   --input_dir /path/to/downloaded/llama/weights --model_size 7B --output_dir /output/path
+```
+
 # Fine-tuning
 
 For fine-tuning Llama 2 models for your domain-specific use cases recipes for PEFT, FSDP, PEFT+FSDP have been included along with a few test datasets. For details see [LLM Fine-tuning](./docs/LLM_finetuning.md).
@@ -112,23 +129,6 @@ sbatch multi_node.slurm
 You can read more about our fine-tuning strategies [here](./docs/LLM_finetuning.md).
 
 
-# Model conversion to Hugging Face
-The recipes and notebooks in this folder are using the Llama 2 model definition provided by Hugging Face's transformers library.
-
-Given that the original checkpoint resides under models/7B you can install all requirements and convert the checkpoint with:
-
-```bash
-## Install HuggingFace Transformers from source
-pip freeze | grep transformers ## verify it is version 4.31.0 or higher
-
-```bash
-git clone git@github.com:huggingface/transformers.git
-cd transformers
-pip install protobuf
-python src/transformers/models/llama/convert_llama_weights_to_hf.py \
-   --input_dir /path/to/downloaded/llama/weights --model_size 7B --output_dir /output/path
-```
-
 # Repository Organization
 This repository is organized in the following way: