facebook meta pytorch llama llama-2 en license:llama2 region:us
---
extra_gated_heading: You need to share contact information with Meta to access this model
extra_gated_prompt: >-
  ### LLAMA 3 COMMUNITY LICENSE AGREEMENT
  Meta Llama 3 Version Release Date: April 18, 2024

  "Agreement" means the terms and conditions for use, reproduction, distribution and modification of the
  Llama Materials set forth herein.

  "Documentation" means the specifications, manuals and documentation accompanying Meta Llama 3
  distributed by Meta at https://llama.meta.com/get-started/.

  "Licensee" or "you" means you, or your employer or any other person or entity (if you are entering into
  this Agreement on such person or entity’s behalf), of the age required under applicable laws, rules or
  regulations to provide legal consent and that has legal authority to bind your employer or such other
  person or entity if you are entering in this Agreement on their behalf.

  "Meta Llama 3" means the foundational large language models and software and algorithms, including
  machine-learning model code, trained model weights, inference-enabling code, training-enabling code,
  fine-tuning enabling code and other elements of the foregoing distributed by Meta at
  https://llama.meta.com/llama-downloads.

  "Llama Materials" means, collectively, Meta’s proprietary Meta Llama 3 and Documentation (and any
  portion thereof) made available under this Agreement.

  "Meta" or "we" means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your
  principal place of business is in the EEA or Switzerland) and Meta Platforms, Inc. (if you are located
  outside of the EEA or Switzerland).

  By clicking "I Accept" below or by using or distributing any portion or element of the Llama Materials,
  you agree to be bound by this Agreement.

  1. License Rights and Redistribution.

    a. Grant of Rights. You are granted a non-exclusive, worldwide, non-transferable and royalty-free
  limited license under Meta’s intellectual property or other rights owned by Meta embodied in the Llama
  Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the
  Llama Materials.

    b. Redistribution and Use.

        i. If you distribute or make available the Llama Materials (or any derivative works
  thereof), or a product or service that uses any of them, you shall include a copy of this Agreement and
  prominently display "Built with Meta Llama 3" on a related website, user interface, blogpost, about page,
  or product documentation.

        ii. If you receive Llama Materials, or any derivative works thereof, from a Licensee as
  part of an integrated end user product, then Section 2 of this Agreement will not apply to you.
  iii. You must retain in all copies of the Llama Materials that you distribute the following
  attribution notice within a "Notice" text file distributed as a part of such copies: "Meta Llama 3 is
  licensed under the META LLAMA 3 Community License, Copyright © Meta Platforms, Inc. All Rights
  Reserved."

        iv. Your use of the Llama Materials must comply with applicable laws and regulations
  (including trade compliance laws and regulations) and adhere to the Acceptable Use Policy for the Llama
  Materials (available at https://llama.meta.com/llama3/use-policy), which is hereby incorporated by
  reference into this Agreement.

        v. You will not use the Llama Materials or any output or results of the Llama Materials to
  improve any other large language model (excluding Meta Llama 3 or derivative works thereof).

  2. Additional Commercial Terms. If, on the Meta Llama 3 version release date, the monthly active users
  of the products or services made available by or for Licensee, or Licensee’s affiliates, is greater than 700
  million monthly active users in the preceding calendar month, you must request a license from Meta,
  which Meta may grant to you in its sole discretion, and you are not authorized to exercise any of the
  rights under this Agreement unless or until Meta otherwise expressly grants you such rights.

  3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY
  OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF
  ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE,
  NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY
  RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING OR REDISTRIBUTING THE LLAMA
  MATERIALS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR USE OF THE LLAMA MATERIALS AND ANY
  OUTPUT AND RESULTS.

  4. Limitation of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF
  LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING
  OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL,
  INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE BEEN ADVISED
  OF THE POSSIBILITY OF ANY OF THE FOREGOING.

  5. Intellectual Property.

    a. No trademark licenses are granted under this Agreement, and in connection with the Llama
  Materials, neither Meta nor Licensee may use any name or mark owned by or associated with the other
  or any of its affiliates, except as required for reasonable and customary use in describing and
  redistributing the Llama Materials.

    b. Subject to Meta’s ownership of Llama Materials and derivatives made by or for Meta, with
  respect to any derivative works and modifications of the Llama Materials that are made by you, as
  between you and Meta, you are and will be the owner of such derivative works and modifications.

    c. If you institute litigation or other proceedings against Meta or any entity (including a
  cross-claim or counterclaim in a lawsuit) alleging that the Llama Materials or Meta Llama 3 outputs or
  results, or any portion of any of the foregoing, constitutes infringement of intellectual property or other
  rights owned or licensable by you, then any licenses granted to you under this Agreement shall
  terminate as of the date such litigation or claim is filed or instituted. You will indemnify and hold
  harmless Meta from and against any claim by any third party arising out of or related to your use or
  distribution of the Llama Materials.

  6. Term and Termination. The term of this Agreement will commence upon your acceptance of this
  Agreement or access to the Llama Materials and will continue in full force and effect until terminated in
  accordance with the terms and conditions herein. Meta may terminate this Agreement if you are in
  breach of any term or condition of this Agreement. Upon termination of this Agreement, you shall delete
  and cease use of the Llama Materials. Sections 3, 4 and 7 shall survive the termination of this
  Agreement.

  7. Governing Law and Jurisdiction. This Agreement will be governed and construed under the laws of
  the State of California without regard to choice of law principles, and the UN Convention on Contracts
  for the International Sale of Goods does not apply to this Agreement. The courts of California shall have
  exclusive jurisdiction of any dispute arising out of this Agreement.
extra_gated_fields:
  First Name: text
  Last Name: text
  Date of birth: date_picker
  Country: country
  Affiliation: text
  geo: ip_location  
  By clicking Submit below I accept the terms of the license and acknowledge that the information I provide will be collected stored processed and shared in accordance with the Meta Privacy Policy: checkbox
extra_gated_description: The information you provide will be collected, stored, processed and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
extra_gated_button_content: Submit
language:
- en
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
license: llama2
---

# Meta Llama 3

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 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/).

## 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.

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`.

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.

### Access to Hugging Face

We are also providing downloads on [Hugging Face](https://huggingface.co/meta-llama).

## 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).

1. In a conda env with PyTorch / CUDA available clone and download this repository.

2. In the top-level directory run:
    ```bash
    pip install -e .
    ```
3. Visit the [Meta Llama website](https://llama.meta.com/llama-downloads/) and register to download the model/s.

4. Once registered, you will get an email with a URL to download the models. You will need this URL when you run the download.sh script.

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.

6. Once the model/s you want have been downloaded, you can run the model locally using the command below:
```bash
torchrun --nproc_per_node 1 example_chat_completion.py \
    --ckpt_dir llama-3-8b-prerelease-instruct/ \
    --tokenizer_path tokenizer.model \
    --max_seq_len 512 --max_batch_size 6
```
**Note**
- Replace  `llama-3-8b-prerelease-instruct/` with the path to your checkpoint directory and `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.

## Inference

Different models require different model-parallel (MP) values:

|  Model | MP |
|--------|----|
| 8B     | 1  |
| 70B    | 8  |

All models support sequence length up to 8192 tokens, but we pre-allocate the cache according to `max_seq_len` and `max_batch_size` values. So set those according to your hardware.

### Pretrained Models

These models are not finetuned for chat or Q&A. They should be prompted so that the expected answer is the natural continuation of the prompt.

See `example_text_completion.py` for some examples. To illustrate, see the command below to run it with the llama-2-7b model (`nproc_per_node` needs to be set to the `MP` value):

```
torchrun --nproc_per_node 1 example_text_completion.py \
    --ckpt_dir llama-3-8b-prerelease/ \
    --tokenizer_path tokenizer.model \
    --max_seq_len 128 --max_batch_size 4
```

### 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 [`chat_completion`](https://github.com/facebookresearch/llama/blob/main/llama/generation.py#L212)
needs to be followed, including the `INST` and `<<SYS>>` tags, `BOS` and `EOS` tokens, and the whitespaces and breaklines in between (we recommend calling `strip()` on inputs to avoid double-spaces).

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/facebookresearch/llama-recipes/blob/main/examples/inference.py) of how to add a safety checker to the inputs and outputs of your inference code.

Examples using llama-2-7b-chat:

```
torchrun --nproc_per_node 1 example_chat_completion.py \
    --ckpt_dir llama-3-8b-prerelease-instruct/ \
    --tokenizer_path tokenizer.model \
    --max_seq_len 512 --max_batch_size 6
```

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/).

## Issues

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)

## Model Card
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.

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.

---

---
extra_gated_heading: You need to share contact information with Meta to access this model
extra_gated_prompt: >-
  ### LLAMA 3 COMMUNITY LICENSE AGREEMENT
Meta Llama 3 Version Release Date: April 18, 2024

"Agreement" means the terms and conditions for use, reproduction, distribution and modification of the
Llama Materials set forth herein.

"Documentation" means the specifications, manuals and documentation accompanying Meta Llama 3
distributed by Meta at https://llama.meta.com/get-started/.

"Licensee" or "you" means you, or your employer or any other person or entity (if you are entering into
this Agreement on such person or entity’s behalf), of the age required under applicable laws, rules or
regulations to provide legal consent and that has legal authority to bind your employer or such other
person or entity if you are entering in this Agreement on their behalf.

"Meta Llama 3" means the foundational large language models and software and algorithms, including
machine-learning model code, trained model weights, inference-enabling code, training-enabling code,
fine-tuning enabling code and other elements of the foregoing distributed by Meta at
https://llama.meta.com/llama-downloads.

"Llama Materials" means, collectively, Meta’s proprietary Meta Llama 3 and Documentation (and any
portion thereof) made available under this Agreement.

"Meta" or "we" means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your
principal place of business is in the EEA or Switzerland) and Meta Platforms, Inc. (if you are located
outside of the EEA or Switzerland).

By clicking "I Accept" below or by using or distributing any portion or element of the Llama Materials,
you agree to be bound by this Agreement.

1. License Rights and Redistribution.

  a. Grant of Rights. You are granted a non-exclusive, worldwide, non-transferable and royalty-free
limited license under Meta’s intellectual property or other rights owned by Meta embodied in the Llama
Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the
Llama Materials.

  b. Redistribution and Use.

      i. If you distribute or make available the Llama Materials (or any derivative works
thereof), or a product or service that uses any of them, you shall include a copy of this Agreement and
prominently display "Built with Meta Llama 3" on a related website, user interface, blogpost, about page,
or product documentation.

      ii. If you receive Llama Materials, or any derivative works thereof, from a Licensee as
part of an integrated end user product, then Section 2 of this Agreement will not apply to you.
iii. You must retain in all copies of the Llama Materials that you distribute the following
attribution notice within a "Notice" text file distributed as a part of such copies: "Meta Llama 3 is
licensed under the META LLAMA 3 Community License, Copyright © Meta Platforms, Inc. All Rights
Reserved."

      iv. Your use of the Llama Materials must comply with applicable laws and regulations
(including trade compliance laws and regulations) and adhere to the Acceptable Use Policy for the Llama
Materials (available at https://llama.meta.com/llama3/use-policy), which is hereby incorporated by
reference into this Agreement.

      v. You will not use the Llama Materials or any output or results of the Llama Materials to
improve any other large language model (excluding Meta Llama 3 or derivative works thereof).

2. Additional Commercial Terms. If, on the Meta Llama 3 version release date, the monthly active users
of the products or services made available by or for Licensee, or Licensee’s affiliates, is greater than 700
million monthly active users in the preceding calendar month, you must request a license from Meta,
which Meta may grant to you in its sole discretion, and you are not authorized to exercise any of the
rights under this Agreement unless or until Meta otherwise expressly grants you such rights.

3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY
OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF
ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE,
NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY
RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING OR REDISTRIBUTING THE LLAMA
MATERIALS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR USE OF THE LLAMA MATERIALS AND ANY
OUTPUT AND RESULTS.

4. Limitation of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING
OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL,
INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE BEEN ADVISED
OF THE POSSIBILITY OF ANY OF THE FOREGOING.

5. Intellectual Property.

  a. No trademark licenses are granted under this Agreement, and in connection with the Llama
Materials, neither Meta nor Licensee may use any name or mark owned by or associated with the other
or any of its affiliates, except as required for reasonable and customary use in describing and
redistributing the Llama Materials.

  b. Subject to Meta’s ownership of Llama Materials and derivatives made by or for Meta, with
respect to any derivative works and modifications of the Llama Materials that are made by you, as
between you and Meta, you are and will be the owner of such derivative works and modifications.

  c. If you institute litigation or other proceedings against Meta or any entity (including a
cross-claim or counterclaim in a lawsuit) alleging that the Llama Materials or Meta Llama 3 outputs or
results, or any portion of any of the foregoing, constitutes infringement of intellectual property or other
rights owned or licensable by you, then any licenses granted to you under this Agreement shall
terminate as of the date such litigation or claim is filed or instituted. You will indemnify and hold
harmless Meta from and against any claim by any third party arising out of or related to your use or
distribution of the Llama Materials.

6. Term and Termination. The term of this Agreement will commence upon your acceptance of this
Agreement or access to the Llama Materials and will continue in full force and effect until terminated in
accordance with the terms and conditions herein. Meta may terminate this Agreement if you are in
breach of any term or condition of this Agreement. Upon termination of this Agreement, you shall delete
and cease use of the Llama Materials. Sections 3, 4 and 7 shall survive the termination of this
Agreement.

7. Governing Law and Jurisdiction. This Agreement will be governed and construed under the laws of
the State of California without regard to choice of law principles, and the UN Convention on Contracts
for the International Sale of Goods does not apply to this Agreement. The courts of California shall have
exclusive jurisdiction of any dispute arising out of this Agreement.
extra_gated_fields:
  First Name: text
  Last Name: text
  Date of birth: date_picker
  Country: country
  Affiliation: text
  geo: ip_location  
  By clicking Submit below I accept the terms of the license and acknowledge that the information I provide will be collected stored processed and shared in accordance with the Meta Privacy Policy: checkbox
extra_gated_description: The information you provide will be collected, stored, processed and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
extra_gated_button_content: Submit
language:
- en
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
license: llama2
---

# Meta Llama 3

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 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/).

## 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.

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`.

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.

### Access to Hugging Face

We are also providing downloads on [Hugging Face](https://huggingface.co/meta-llama).

## 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).

1. In a conda env with PyTorch / CUDA available clone and download this repository.

2. In the top-level directory run:
    ```bash
    pip install -e .
    ```
3. Visit the [Meta Llama website](https://llama.meta.com/llama-downloads/) and register to download the model/s.

4. Once registered, you will get an email with a URL to download the models. You will need this URL when you run the download.sh script.

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.

6. Once the model/s you want have been downloaded, you can run the model locally using the command below:
```bash
torchrun --nproc_per_node 1 example_chat_completion.py \
    --ckpt_dir llama-3-8b-prerelease-instruct/ \
    --tokenizer_path tokenizer.model \
    --max_seq_len 512 --max_batch_size 6
```
**Note**
- Replace  `llama-3-8b-prerelease-instruct/` with the path to your checkpoint directory and `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.

## Inference

Different models require different model-parallel (MP) values:

|  Model | MP |
|--------|----|
| 8B     | 1  |
| 70B    | 8  |

All models support sequence length up to 8192 tokens, but we pre-allocate the cache according to `max_seq_len` and `max_batch_size` values. So set those according to your hardware.

### Pretrained Models

These models are not finetuned for chat or Q&A. They should be prompted so that the expected answer is the natural continuation of the prompt.

See `example_text_completion.py` for some examples. To illustrate, see the command below to run it with the llama-2-7b model (`nproc_per_node` needs to be set to the `MP` value):

```
torchrun --nproc_per_node 1 example_text_completion.py \
    --ckpt_dir llama-3-8b-prerelease/ \
    --tokenizer_path tokenizer.model \
    --max_seq_len 128 --max_batch_size 4
```

### 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 [`chat_completion`](https://github.com/facebookresearch/llama/blob/main/llama/generation.py#L212)
needs to be followed, including the `INST` and `<<SYS>>` tags, `BOS` and `EOS` tokens, and the whitespaces and breaklines in between (we recommend calling `strip()` on inputs to avoid double-spaces).

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/facebookresearch/llama-recipes/blob/main/examples/inference.py) of how to add a safety checker to the inputs and outputs of your inference code.

Examples using llama-2-7b-chat:

```
torchrun --nproc_per_node 1 example_chat_completion.py \
    --ckpt_dir llama-3-8b-prerelease-instruct/ \
    --tokenizer_path tokenizer.model \
    --max_seq_len 512 --max_batch_size 6
```

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/).

## Issues

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)

## Model Card
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.

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.
