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---
language:
- en
- de
- fr
- it
- pt
- hi
- es
- th
license: llama3.1
library_name: transformers
tags:
- facebook
- meta
- pytorch
- llama
- llama-3
- mlx
pipeline_tag: text-generation
extra_gated_prompt: "### LLAMA 3.1 COMMUNITY LICENSE AGREEMENT\nLlama 3.1 Version\
\ Release Date: July 23, 2024\n\"Agreement\" means the terms and conditions for\
\ use, reproduction, distribution and modification of the Llama Materials set forth\
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\ of any dispute arising out of this Agreement.\n### Llama 3.1 Acceptable Use Policy\n\
Meta is committed to promoting safe and fair use of its tools and features, including\
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extra_gated_fields:
First Name: text
Last Name: text
Date of birth: date_picker
Country: country
Affiliation: text
Job title:
type: select
options:
- Student
- Research Graduate
- AI researcher
- AI developer/engineer
- Reporter
- Other
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
---
# mlx-community/Meta-Llama-3.1-405B-2bit
The Model [mlx-community/Meta-Llama-3.1-405B-2bit](https://huggingface.co/mlx-community/Meta-Llama-3.1-405B-2bit) was converted to MLX format from [meta-llama/Meta-Llama-3.1-405B](https://huggingface.co/meta-llama/Meta-Llama-3.1-405B) using mlx-lm version **0.16.1**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Meta-Llama-3.1-405B-2bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```
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