--- base_model: meta-llama/Llama-3.3-70B-Instruct language: - en - fr - it - pt - hi - es - th - de library_name: transformers license: llama3.3 tags: - facebook - meta - pytorch - llama - llama-3 - mlx extra_gated_prompt: "### LLAMA 3.3 COMMUNITY LICENSE AGREEMENT\nLlama 3.3 Version\ \ Release Date: December 6, 2024\n\"Agreement\" means the terms and conditions for\ \ use, reproduction, distribution and modification of the Llama Materials set forth\ \ herein.\n\"Documentation\" means the specifications, manuals and documentation\ \ accompanying Llama 3.3 distributed by Meta at [https://www.llama.com/docs/overview](https://llama.com/docs/overview).\n\ \"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.\n\"Llama 3.3\"\ \ 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://www.llama.com/llama-downloads](https://www.llama.com/llama-downloads).\n\ \"Llama Materials\" means, collectively, Meta’s proprietary Llama 3.3 and Documentation\ \ (and any portion thereof) made available under this Agreement.\n\"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. 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The most recent copy of this policy can be found at [https://www.llama.com/llama3\\\ _3/use-policy](https://www.llama.com/llama3_3/use-policy).\nProhibited Uses\nWe\ \ want everyone to use Llama 3.3 safely and responsibly. You agree you will not\ \ use, or allow others to use, Llama 3.3 to:\n1. Violate the law or others’ rights,\ \ including to:\n\n 1. Engage in, promote, generate, contribute to, encourage,\ \ plan, incite, or further illegal or unlawful activity or content, such as: \n\ \ 1. Violence or terrorism \n 2. Exploitation or harm to children, including\ \ the solicitation, creation, acquisition, or dissemination of child exploitative\ \ content or failure to report Child Sexual Abuse Material \n 3. Human trafficking,\ \ exploitation, and sexual violence \n 4. The 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. 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Interact with third\ \ party tools, models, or software designed to generate unlawful content or engage\ \ in unlawful or harmful conduct and/or represent that the outputs of such tools,\ \ models, or software are associated with Meta or Llama 3.3\nWith respect to any\ \ multimodal models included in Llama 3.3, the rights granted under Section 1(a)\ \ of the Llama 3.3 Community License Agreement are not being granted to you if you\ \ are an individual domiciled in, or a company with a principal place of business\ \ in, the European Union. This restriction does not apply to end users of a product\ \ or service that incorporates any such multimodal models.\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/llama-models/issues](https://l.workplace.com/l.php?u=https%3A%2F%2Fgithub.com%2Fmeta-llama%2Fllama-models%2Fissues&h=AT0qV8W9BFT6NwihiOHRuKYQM_UnkzN_NmHMy91OT55gkLpgi4kQupHUl0ssR4dQsIQ8n3tfd0vtkobvsEvt1l4Ic6GXI2EeuHV8N08OG2WnbAmm0FL4ObkazC6G_256vN0lN9DsykCvCqGZ)\ \ * 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)\ \ * Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama\ \ 3.3: LlamaUseReport@meta.com " 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/Llama-3.3-70B-Instruct-4bit The Model [mlx-community/Llama-3.3-70B-Instruct-4bit](https://huggingface.co/mlx-community/Llama-3.3-70B-Instruct-4bit) was converted to MLX format from [meta-llama/Llama-3.3-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct) using mlx-lm version **0.20.1**. ## Use with mlx ```bash pip install mlx-lm ``` ```python from mlx_lm import load, generate model, tokenizer = load("mlx-community/Llama-3.3-70B-Instruct-4bit") prompt="hello" if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None: messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, tokenize=False, add_generation_prompt=True ) response = generate(model, tokenizer, prompt=prompt, verbose=True) ```