RichardErkhov/TheBlueObserver_-_Llama-3.2-3B-Instruct-MLX-gguf

Quantization made by Richard Erkhov.

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Llama-3.2-3B-Instruct-MLX - GGUF

• Model creator: https://huggingface.co/TheBlueObserver/
• Original model: https://huggingface.co/TheBlueObserver/Llama-3.2-3B-Instruct-MLX/

Name	Quant method	Size
Llama-3.2-3B-Instruct-MLX.Q2_K.gguf	Q2_K	1.27GB
Llama-3.2-3B-Instruct-MLX.IQ3_XS.gguf	IQ3_XS	1.38GB
Llama-3.2-3B-Instruct-MLX.IQ3_S.gguf	IQ3_S	1.44GB
Llama-3.2-3B-Instruct-MLX.Q3_K_S.gguf	Q3_K_S	1.44GB
Llama-3.2-3B-Instruct-MLX.IQ3_M.gguf	IQ3_M	1.49GB
Llama-3.2-3B-Instruct-MLX.Q3_K.gguf	Q3_K	1.57GB
Llama-3.2-3B-Instruct-MLX.Q3_K_M.gguf	Q3_K_M	1.57GB
Llama-3.2-3B-Instruct-MLX.Q3_K_L.gguf	Q3_K_L	1.69GB
Llama-3.2-3B-Instruct-MLX.IQ4_XS.gguf	IQ4_XS	1.71GB
Llama-3.2-3B-Instruct-MLX.Q4_0.gguf	Q4_0	1.79GB
Llama-3.2-3B-Instruct-MLX.IQ4_NL.gguf	IQ4_NL	1.79GB
Llama-3.2-3B-Instruct-MLX.Q4_K_S.gguf	Q4_K_S	1.8GB
Llama-3.2-3B-Instruct-MLX.Q4_K.gguf	Q4_K	1.88GB
Llama-3.2-3B-Instruct-MLX.Q4_K_M.gguf	Q4_K_M	1.88GB
Llama-3.2-3B-Instruct-MLX.Q4_1.gguf	Q4_1	1.95GB
Llama-3.2-3B-Instruct-MLX.Q5_0.gguf	Q5_0	2.11GB
Llama-3.2-3B-Instruct-MLX.Q5_K_S.gguf	Q5_K_S	2.11GB
Llama-3.2-3B-Instruct-MLX.Q5_K.gguf	Q5_K	2.16GB
Llama-3.2-3B-Instruct-MLX.Q5_K_M.gguf	Q5_K_M	2.16GB
Llama-3.2-3B-Instruct-MLX.Q5_1.gguf	Q5_1	2.28GB
Llama-3.2-3B-Instruct-MLX.Q6_K.gguf	Q6_K	2.46GB
Llama-3.2-3B-Instruct-MLX.Q8_0.gguf	Q8_0	3.19GB

Original model description:

base_model: meta-llama/Llama-3.2-3B-Instruct language: - en - de - fr - it - pt - hi - es - th library_name: transformers license: llama3.2 pipeline_tag: text-generation tags: - facebook - meta - pytorch - llama - llama-3 - mlx extra_gated_prompt: "### LLAMA 3.2 COMMUNITY LICENSE AGREEMENT\n\nLlama 3.2 Version
\ Release Date: September 25, 2024\n\n“Agreement” means the terms and conditions
\ for use, reproduction, distribution and modification of the Llama Materials set
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\ accompanying Llama 3.2 distributed by Meta at https://llama.meta.com/doc/overview.\n\ \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\n“Llama 3.2”
\ 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.\n\n“Llama Materials” means,
\ collectively, Meta’s proprietary Llama 3.2 and Documentation (and any portion
\ thereof) made available under this Agreement.\n\n“Meta” or “we” means Meta Platforms
\ Ireland Limited (if you are located in or, if you are an entity, your principal
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a. Grant of Rights. You are granted a non-exclusive, worldwide, non-transferable
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\ \nb. Redistribution and Use. \ni. If you distribute or make available the Llama
\ Materials (or any derivative works thereof), or a product or service (including
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\ notice within a “Notice” text file distributed as a part of such copies: “Llama
\ 3.2 is licensed under the Llama 3.2 Community License, Copyright © Meta Platforms,
\ Inc. All Rights Reserved.”\niv. 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://www.llama.com/llama3_2/use-policy), which is hereby incorporated by reference
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\ 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. \n### Llama 3.2 Acceptable Use Policy\n
Meta is committed to promoting safe and fair use of its tools and features, including
\ Llama 3.2. If you access or use Llama 3.2, you agree to this Acceptable Use Policy
\ (“Policy”). The most recent copy of this policy can be found at https://www.llama.com/llama3_2/use-policy.\n
#### Prohibited Uses\nWe want everyone to use Llama 3.2 safely and responsibly.
\ You agree you will not use, or allow others to use, Llama 3.2 to:\n1. Violate
\ the law or others’ rights, including to:\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. Sexual solicitation\n 6. Any
\ other criminal activity\n 1. Engage in, promote, incite, or facilitate the
\ harassment, abuse, threatening, or bullying of individuals or groups of individuals\n
\ 2. Engage in, promote, incite, or facilitate discrimination or other unlawful
\ or harmful conduct in the provision of employment, employment benefits, credit,
\ housing, other economic benefits, or other essential goods and services\n 3.
\ Engage in the unauthorized or unlicensed practice of any profession including,
\ but not limited to, financial, legal, medical/health, or related professional
\ practices\n 4. Collect, process, disclose, generate, or infer private or sensitive
\ information about individuals, including information about individuals’ identity,
\ health, or demographic information, unless you have obtained the right to do so
\ in accordance with applicable law\n 5. Engage in or facilitate any action or
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\ using the Llama Materials\n 6. Create, generate, or facilitate the creation
\ of malicious code, malware, computer viruses or do anything else that could disable,
\ overburden, interfere with or impair the proper working, integrity, operation
\ or appearance of a website or computer system\n 7. Engage in any action, or
\ facilitate any action, to intentionally circumvent or remove usage restrictions
\ or other safety measures, or to enable functionality disabled by Meta \n2. Engage
\ in, promote, incite, facilitate, or assist in the planning or development of activities
\ that present a risk of death or bodily harm to individuals, including use of Llama
\ 3.2 related to the following:\n 8. 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 or to the U.S. Biological Weapons Anti-Terrorism Act of 1989
\ or the Chemical Weapons Convention Implementation Act of 1997\n 9. Guns and
\ illegal weapons (including weapon development)\n 10. Illegal drugs and regulated/controlled
\ substances\n 11. Operation of critical infrastructure, transportation technologies,
\ or heavy machinery\n 12. Self-harm or harm to others, including suicide, cutting,
\ and eating disorders\n 13. 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 Llama 3.2 related to the following:\n 14.
\ Generating, promoting, or furthering fraud or the creation or promotion of disinformation\n
\ 15. Generating, promoting, or furthering defamatory content, including the
\ creation of defamatory statements, images, or other content\n 16. Generating,
\ promoting, or further distributing spam\n 17. Impersonating another individual
\ without consent, authorization, or legal right\n 18. Representing that the
\ use of Llama 3.2 or outputs are human-generated\n 19. 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 5. 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 3.2\n\nWith respect to any multimodal models included in Llama 3.2, the
\ rights granted under Section 1(a) of the Llama 3.2 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.\n\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\n* Reporting issues with the model: https://github.com/meta-llama/llama-models/issues\n
* Reporting risky content generated by the model: 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 Llama
\ 3.2: 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. extra_gated_button_content: Submit

TheBlueObserver/Llama-3.2-3B-Instruct-MLX

The Model TheBlueObserver/Llama-3.2-3B-Instruct-MLX was converted to MLX format from meta-llama/Llama-3.2-3B-Instruct using mlx-lm version 0.20.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("TheBlueObserver/Llama-3.2-3B-Instruct-MLX")

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)