Merge pull request #134 from RealWorga/patch-1

Revise grammar

README.md

@@ -13,23 +13,23 @@
 
 We are unlocking the power of large language models. Our latest version of Llama is now accessible to individuals, creators, researchers, and businesses of all sizes so that they can experiment, innovate, and scale their ideas responsibly.
 
-This release includes model weights and starting code for pre-trained and instruction tuned Llama 3 language models — including sizes of 8B to 70B parameters.
+This release includes model weights and starting code for pre-trained and instruction-tuned Llama 3 language models — including sizes of 8B to 70B parameters.
 
-This repository is intended as a minimal example to load Llama 3 models and run inference. For more detailed examples, see [llama-recipes](https://github.com/facebookresearch/llama-recipes/).
+This repository is a minimal example of loading Llama 3 models and running inference. For more detailed examples, see [llama-recipes](https://github.com/facebookresearch/llama-recipes/).
 
 ## Download
 
-In order to download the model weights and tokenizer, please visit the [Meta Llama website](https://llama.meta.com/llama-downloads/) and accept our License.
+To download the model weights and tokenizer, please visit the [Meta Llama website](https://llama.meta.com/llama-downloads/) and accept our License.
 
-Once your request is approved, you will receive a signed URL over email. Then run the download.sh script, passing the URL provided when prompted to start the download.
+Once your request is approved, you will receive a signed URL over email. Then, run the download.sh script, passing the URL provided when prompted to start the download.
 
-Pre-requisites: Make sure you have `wget` and `md5sum` installed. Then run the script: `./download.sh`.
+Pre-requisites: Ensure you have `wget` and `md5sum` installed. Then run the script: `./download.sh`.
 
-Keep in mind that the links expire after 24 hours and a certain amount of downloads. If you start seeing errors such as `403: Forbidden`, you can always re-request a link.
+Remember that the links expire after 24 hours and a certain amount of downloads. You can always re-request a link if you start seeing errors such as `403: Forbidden`.
 
 ### Access to Hugging Face
 
-We are also providing downloads on [Hugging Face](https://huggingface.co/meta-llama), in both transformers and native `llama3` formats. To download the weights from Hugging Face, please follow these steps:
+We also provide downloads on [Hugging Face](https://huggingface.co/meta-llama), in both transformers and native `llama3` formats. To download the weights from Hugging Face, please follow these steps:
 
 - Visit one of the repos, for example [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct).
 - Read and accept the license. Once your request is approved, you'll be granted access to all the Llama 3 models. Note that requests used to take up to one hour to get processed.
@@ -57,9 +57,9 @@ huggingface-cli download meta-llama/Meta-Llama-3-8B-Instruct --include "original
 
 ## Quick Start
 
-You can follow the steps below to quickly get up and running with Llama 3 models. These steps will let you run quick inference locally. For more examples, see the [Llama recipes repository](https://github.com/facebookresearch/llama-recipes).
+You can follow the steps below to get up and running with Llama 3 models quickly. These steps will let you run quick inference locally. For more examples, see the [Llama recipes repository](https://github.com/facebookresearch/llama-recipes).
 
-1. In a conda env with PyTorch / CUDA available clone and download this repository.
+1. Clone and download this repository in a conda env with PyTorch / CUDA.
 
 2. In the top-level directory run:
     ```bash
@@ -72,7 +72,7 @@ You can follow the steps below to quickly get up and running with Llama 3 models
 5. Once you get the email, navigate to your downloaded llama repository and run the download.sh script.
     - Make sure to grant execution permissions to the download.sh script
     - During this process, you will be prompted to enter the URL from the email.
-    - Do not use the “Copy Link” option but rather make sure to manually copy the link from the email.
+    - Do not use the “Copy Link” option; copy the link from the email manually.
 
 6. Once the model/s you want have been downloaded, you can run the model locally using the command below:
 ```bash
@@ -85,7 +85,7 @@ torchrun --nproc_per_node 1 example_chat_completion.py \
 - Replace  `Meta-Llama-3-8B-Instruct/` with the path to your checkpoint directory and `Meta-Llama-3-8B-Instruct/tokenizer.model` with the path to your tokenizer model.
 - The `–nproc_per_node` should be set to the [MP](#inference) value for the model you are using.
 - Adjust the `max_seq_len` and `max_batch_size` parameters as needed.
-- This example runs the [example_chat_completion.py](example_chat_completion.py) found in this repository but you can change that to a different .py file.
+- This example runs the [example_chat_completion.py](example_chat_completion.py) found in this repository, but you can change that to a different .py file.
 
 ## Inference
 
@@ -113,10 +113,10 @@ torchrun --nproc_per_node 1 example_text_completion.py \
 
 ### Instruction-tuned Models
 
-The fine-tuned models were trained for dialogue applications. To get the expected features and performance for them, a specific formatting defined in [`ChatFormat`](https://github.com/meta-llama/llama3/blob/main/llama/tokenizer.py#L202)
-needs to be followed: The prompt begins with a `<|begin_of_text|>` special token, after which one or more messages follow. Each message starts with the `<|start_header_id|>` tag, the role `system`, `user` or `assistant`, and the `<|end_header_id|>` tag. After a double newline `\n\n` the contents of the message follow. The end of each message is marked by the `<|eot_id|>` token.
+The fine-tuned models were trained for dialogue applications. To get the expected features and performance for them, specific formatting defined in [`ChatFormat`](https://github.com/meta-llama/llama3/blob/main/llama/tokenizer.py#L202)
+needs to be followed: The prompt begins with a `<|begin_of_text|>` special token, after which one or more messages follow. Each message starts with the `<|start_header_id|>` tag, the role `system`, `user` or `assistant`, and the `<|end_header_id|>` tag. After a double newline `\n\n`, the message's contents follow. The end of each message is marked by the `<|eot_id|>` token.
 
-You can also deploy additional classifiers for filtering out inputs and outputs that are deemed unsafe. See the llama-recipes repo for [an example](https://github.com/meta-llama/llama-recipes/blob/main/recipes/inference/local_inference/inference.py) of how to add a safety checker to the inputs and outputs of your inference code.
+You can also deploy additional classifiers to filter out inputs and outputs that are deemed unsafe. See the llama-recipes repo for [an example](https://github.com/meta-llama/llama-recipes/blob/main/recipes/inference/local_inference/inference.py) of how to add a safety checker to the inputs and outputs of your inference code.
 
 Examples using llama-3-8b-chat:
 
@@ -128,11 +128,11 @@ torchrun --nproc_per_node 1 example_chat_completion.py \
 ```
 
 Llama 3 is a new technology that carries potential risks with use. Testing conducted to date has not — and could not — cover all scenarios.
-In order to help developers address these risks, we have created the [Responsible Use Guide](https://ai.meta.com/static-resource/responsible-use-guide/).
+To help developers address these risks, we have created the [Responsible Use Guide](https://ai.meta.com/static-resource/responsible-use-guide/).
 
 ## Issues
 
-Please report any software “bug”, or other problems with the models through one of the following means:
+Please report any software “bug” or other problems with the models through one of the following means:
 - Reporting issues with the model: [https://github.com/meta-llama/llama3/issues](https://github.com/meta-llama/llama3/issues)
 - Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)
 - Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)
@@ -142,10 +142,10 @@ See [MODEL_CARD.md](MODEL_CARD.md).
 
 ## License
 
-Our model and weights are licensed for both researchers and commercial entities, upholding the principles of openness. Our mission is to empower individuals, and industry through this opportunity, while fostering an environment of discovery and ethical AI advancements.
+Our model and weights are licensed for researchers and commercial entities, upholding the principles of openness. Our mission is to empower individuals and industry through this opportunity while fostering an environment of discovery and ethical AI advancements.
 
 See the [LICENSE](LICENSE) file, as well as our accompanying [Acceptable Use Policy](USE_POLICY.md)
 
 ## Questions
 
-For common questions, the FAQ can be found [here](https://llama.meta.com/faq) which will be kept up to date over time as new questions arise.
+For common questions, the FAQ can be found [here](https://llama.meta.com/faq), which will be updated over time as new questions arise.