---
language:
- en
license: other
tags:
- facebook
- meta
- pytorch
- llama
- llama-3
- mlx
pipeline_tag: text-generation
license_name: llama3
license_link: LICENSE
extra_gated_prompt: "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version\
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  \ of any dispute arising out of this Agreement.\n### Meta Llama 3 Acceptable Use\
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  \ including Meta Llama 3. If you access or use Meta Llama 3, you agree to this Acceptable\
  \ Use Policy (“Policy”). The most recent copy of this policy can be found at [https://llama.meta.com/llama3/use-policy](https://llama.meta.com/llama3/use-policy)\n\
  #### Prohibited Uses\nWe want everyone to use Meta Llama 3 safely and responsibly.\
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  \ illegal distribution of information or materials to minors, including obscene\
  \ materials, or failure to employ legally required age-gating in connection with\
  \ such information or materials.\n        5. Sexual solicitation\n        6. Any\
  \ other criminal activity\n    2. Engage in, promote, incite, or facilitate the\
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  \ or harmful conduct in the provision of employment, employment benefits, credit,\
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  \ Engage in the unauthorized or unlicensed practice of any profession including,\
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  \ a risk of death or bodily harm to individuals, including use of Meta Llama 3 related\
  \ to the following:\n    1. Military, warfare, nuclear industries or applications,\
  \ espionage, use for materials or activities that are subject to the International\
  \ Traffic Arms Regulations (ITAR) maintained by the United States Department of\
  \ State\n    2. Guns and illegal weapons (including weapon development)\n    3.\
  \ Illegal drugs and regulated/controlled substances\n    4. Operation of critical\
  \ infrastructure, transportation technologies, or heavy machinery\n    5. Self-harm\
  \ or harm to others, including suicide, cutting, and eating disorders\n    6. Any\
  \ content intended to incite or promote violence, abuse, or any infliction of bodily\
  \ harm to an individual\n3. Intentionally deceive or mislead others, including use\
  \ of Meta Llama 3 related to the following:\n    1. Generating, promoting, or furthering\
  \ fraud or the creation or promotion of disinformation\n    2. Generating, promoting,\
  \ or furthering defamatory content, including the creation of defamatory statements,\
  \ images, or other content\n    3. Generating, promoting, or further distributing\
  \ spam\n    4. Impersonating another individual without consent, authorization,\
  \ or legal right\n    5. Representing that the use of Meta Llama 3 or outputs are\
  \ human-generated\n    6. Generating or facilitating false online engagement, including\
  \ fake reviews and other means of fake online engagement\n4. Fail to appropriately\
  \ disclose to end users any known dangers of your AI system\nPlease report any violation\
  \ of this Policy, software “bug,” or other problems that could lead to a violation\
  \ of this Policy through one of the following means:\n    * Reporting issues with\
  \ the model: [https://github.com/meta-llama/llama3](https://github.com/meta-llama/llama3)\n\
  \    * Reporting risky content generated by the model:\n    developers.facebook.com/llama_output_feedback\n\
  \    * Reporting bugs and security concerns: facebook.com/whitehat/info\n    * Reporting\
  \ violations of the Acceptable Use Policy or unlicensed uses of Meta Llama 3: LlamaUseReport@meta.com"
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
widget:
- example_title: Hello
  messages:
  - role: user
    content: Hey my name is Julien! How are you?
- example_title: Winter holidays
  messages:
  - role: system
    content: You are a helpful and honest assistant. Please, respond concisely and
      truthfully.
  - role: user
    content: Can you recommend a good destination for Winter holidays?
- example_title: Programming assistant
  messages:
  - role: system
    content: You are a helpful and honest code and programming assistant. Please,
      respond concisely and truthfully.
  - role: user
    content: Write a function that computes the nth fibonacci number.
inference:
  parameters:
    max_new_tokens: 300
    stop:
    - <|end_of_text|>
    - <|eot_id|>
---

# mlx-community/Meta-Llama-3-8B-Instruct
This model was converted to MLX format from [`meta-llama/Meta-Llama-3-8B-Instruct`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) for more details on the model.
## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Meta-Llama-3-8B-Instruct")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```
