README.md

metadata

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
quantized_by: mukel
extra_gated_prompt: >-
  ### LLAMA 3.2 COMMUNITY LICENSE AGREEMENT


  Llama 3.2 Version Release Date: September 25, 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 Llama 3.2 distributed by Meta at
  https://llama.meta.com/doc/overview.


  “Licensee” or “you” means you, or your employer or any other person or entity
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  “Llama 3.2” means the foundational large language models and software and
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  ### Llama 3.2 Acceptable Use Policy

  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](https://www.llama.com/llama3_2/use-policy).

  #### Prohibited Uses

  We 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:

  1. Violate the law or others’ rights, including to:
      1. Engage in, promote, generate, contribute to, encourage, plan, incite, or further illegal or unlawful activity or content, such as:
          1. Violence or terrorism
          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
          3. Human trafficking, exploitation, and sexual violence
          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.
          5. Sexual solicitation
          6. Any other criminal activity
      1. Engage in, promote, incite, or facilitate the harassment, abuse, threatening, or bullying of individuals or groups of individuals
      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
      3. Engage in the unauthorized or unlicensed practice of any profession including, but not limited to, financial, legal, medical/health, or related professional practices
      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
      5. Engage in or facilitate any action or generate any content that infringes, misappropriates, or otherwise violates any third-party rights, including the outputs or results of any products or services using the Llama Materials
      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
      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 
  2. 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:
      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
      9. Guns and illegal weapons (including weapon development)
      10. Illegal drugs and regulated/controlled substances
      11. Operation of critical infrastructure, transportation technologies, or heavy machinery
      12. Self-harm or harm to others, including suicide, cutting, and eating disorders
      13. Any content intended to incite or promote violence, abuse, or any infliction of bodily harm to an individual
  3. Intentionally deceive or mislead others, including use of Llama 3.2 related
  to the following:
      14. Generating, promoting, or furthering fraud or the creation or promotion of disinformation
      15. Generating, promoting, or furthering defamatory content, including the creation of defamatory statements, images, or other content
      16. Generating, promoting, or further distributing spam
      17. Impersonating another individual without consent, authorization, or legal right
      18. Representing that the use of Llama 3.2 or outputs are human-generated
      19. Generating or facilitating false online engagement, including fake reviews and other means of fake online engagement 
  4. 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


  With 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.


  Please 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:


  * 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 3.2: LlamaUseReport@meta.com
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GGUF models for llama3.java

Pure .gguf Q4_0 and Q8_0 quantizations of Llama 3.2 models, ready to consume by llama3.java.

In the wild, Q8_0 quantizations are fine, but Q4_0 quantizations are rarely pure e.g. the output.weights tensor is quantized with Q6_K, instead of Q4_0.
A pure Q4_0 quantization can be generated from a high precision (F32, F16, BFLOAT16) .gguf source with the llama-quantize utility from llama.cpp as follows:

./llama-quantize --pure ./Meta-Llama-3-8B-Instruct-F32.gguf ./Meta-Llama-3-8B-Instruct-Q4_0.gguf Q4_0

Model Information

The Meta Llama 3.2 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction-tuned generative models in 1B and 3B sizes (text in/text out). The Llama 3.2 instruction-tuned text only models are optimized for multilingual dialogue use cases, including agentic retrieval and summarization tasks. They outperform many of the available open source and closed chat models on common industry benchmarks.

Model Developer: Meta

Model Architecture: Llama 3.2 is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety.

	Training Data	Params	Input modalities	Output modalities	Context Length	GQA	Shared Embeddings	Token count	Knowledge cutoff
Llama 3.2 (text only)	A new mix of publicly available online data.	1B (1.23B)	Multilingual Text	Multilingual Text and code	128k	Yes	Yes	Up to 9T tokens	December 2023
		3B (3.21B)	Multilingual Text	Multilingual Text and code

Supported Languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai are officially supported. Llama 3.2 has been trained on a broader collection of languages than these 8 supported languages. Developers may fine-tune Llama 3.2 models for languages beyond these supported languages, provided they comply with the Llama 3.2 Community License and the Acceptable Use Policy. Developers are always expected to ensure that their deployments, including those that involve additional languages, are completed safely and responsibly.

Llama 3.2 Model Family: Token counts refer to pretraining data only. All model versions use Grouped-Query Attention (GQA) for improved inference scalability.

Model Release Date: Sept 25, 2024

Status: This is a static model trained on an offline dataset. Future versions may be released that improve model capabilities and safety.

License: Use of Llama 3.2 is governed by the Llama 3.2 Community License (a custom, commercial license agreement).