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README.md

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+---
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- facebook
+- meta
+- pytorch
+- llama
+- llama-3
+license: other
+license_name: llama3
+license_link: LICENSE
+extra_gated_prompt: >-
+  ### META LLAMA 3 COMMUNITY LICENSE AGREEMENT
+
+  Meta Llama 3 Version Release Date: April 18, 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 Meta Llama 3
+  distributed by Meta at https://llama.meta.com/get-started/.
+
+  "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.
+
+  "Meta Llama 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://llama.meta.com/llama-downloads.
+
+  "Llama Materials" means, collectively, Meta’s proprietary Meta Llama 3 and Documentation (and any
+  portion thereof) made available under this Agreement.
+
+  "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. (if you are located
+  outside of the EEA or Switzerland).
+     
+  1. License Rights and Redistribution.
+
+  a. Grant of Rights. You are granted a non-exclusive, worldwide, non-transferable and royalty-free
+  limited license under Meta’s intellectual property or other rights owned by Meta embodied in the Llama
+  Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the
+  Llama Materials.
+
+  b. Redistribution and Use.
+
+  i. If you distribute or make available the Llama Materials (or any derivative works
+  thereof), or a product or service that uses any of them, including another AI model, you shall (A) provide
+  a copy of this Agreement with any such Llama Materials; and (B) prominently display “Built with Meta
+  Llama 3” on a related website, user interface, blogpost, about page, or product documentation. If you
+  use the Llama Materials to create, train, fine tune, or otherwise improve an AI model, which is
+  distributed or made available, you shall also include “Llama 3” at the beginning of any such AI model
+  name.
+
+  ii. If you receive Llama Materials, or any derivative works thereof, from a Licensee as part 
+  of an integrated end user product, then Section 2 of this Agreement will not apply to you.
+
+  iii. You must retain in all copies of the Llama Materials that you distribute the following
+  attribution notice within a “Notice” text file distributed as a part of such copies: “Meta Llama 3 is
+  licensed under the Meta Llama 3 Community License, Copyright © Meta Platforms, Inc. All Rights
+  Reserved.”
+
+  iv. 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://llama.meta.com/llama3/use-policy), which is hereby incorporated by
+  reference into this Agreement.
+
+  v. You will not use the Llama Materials or any output or results of the Llama Materials to
+  improve any other large language model (excluding Meta Llama 3 or derivative works thereof).
+
+  2. Additional Commercial Terms. If, on the Meta Llama 3 version release date, the monthly active users
+  of the products or services made available by or for Licensee, or Licensee’s affiliates, is greater than 700
+  million monthly active users in the preceding calendar month, you must request a license from Meta,
+  which Meta may grant to you in its sole discretion, and you are not authorized to exercise any of the
+  rights under this Agreement unless or until Meta otherwise expressly grants you such rights.
+
+  3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY
+  OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN “AS IS” BASIS, WITHOUT WARRANTIES OF
+  ANY KIND, AND META DISCLAIMS ALL WARRANTIES OF ANY KIND, BOTH EXPRESS AND IMPLIED,
+  INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT,
+  MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR
+  DETERMINING THE APPROPRIATENESS OF USING OR REDISTRIBUTING THE LLAMA MATERIALS AND
+  ASSUME ANY RISKS ASSOCIATED WITH YOUR USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND
+  RESULTS.
+
+  4. Limitation of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF
+  LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING
+  OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL,
+  INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE BEEN ADVISED
+  OF THE POSSIBILITY OF ANY OF THE FOREGOING.
+
+  5. Intellectual Property.
+
+  a. No trademark licenses are granted under this Agreement, and in connection with the Llama
+  Materials, neither Meta nor Licensee may use any name or mark owned by or associated with the other
+  or any of its affiliates, except as required for reasonable and customary use in describing and
+  redistributing the Llama Materials or as set forth in this Section 5(a). Meta hereby grants you a license to
+  use “Llama 3” (the “Mark”) solely as required to comply with the last sentence of Section 1.b.i. You will
+  comply with Meta’s brand guidelines (currently accessible at
+  https://about.meta.com/brand/resources/meta/company-brand/ ). All goodwill arising out of your use
+  of the Mark will inure to the benefit of Meta.
+
+  b. Subject to Meta’s ownership of Llama Materials and derivatives made by or for Meta, with
+  respect to any derivative works and modifications of the Llama Materials that are made by you, as
+  between you and Meta, you are and will be the owner of such derivative works and modifications.
+
+  c. If you institute litigation or other proceedings against Meta or any entity (including a
+  cross-claim or counterclaim in a lawsuit) alleging that the Llama Materials or Meta Llama 3 outputs or
+  results, or any portion of any of the foregoing, constitutes infringement of intellectual property or other
+  rights owned or licensable by you, then any licenses granted to you under this Agreement shall
+  terminate as of the date such litigation or claim is filed or instituted. You will indemnify and hold
+  harmless Meta from and against any claim by any third party arising out of or related to your use or
+  distribution of the Llama Materials.
+
+  6. Term and Termination. The term of this Agreement will commence upon your acceptance of this
+  Agreement or access to the Llama Materials and will continue in full force and effect until terminated in
+  accordance with the terms and conditions herein. Meta may terminate this Agreement if you are in
+  breach of any term or condition of this Agreement. Upon termination of this Agreement, you shall delete
+  and cease use of the Llama Materials. Sections 3, 4 and 7 shall survive the termination of this
+  Agreement.
+
+  7. Governing Law and Jurisdiction. This Agreement will be governed and construed under the laws of
+  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.
+
+  ### Meta Llama 3 Acceptable Use Policy
+
+  Meta is committed to promoting safe and fair use of its tools and features, 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)
+
+  #### Prohibited Uses
+
+  We want everyone to use Meta Llama 3 safely and responsibly. You agree you will not use, or allow
+  others to use, Meta Llama 3 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
+      2. Engage in, promote, incite, or facilitate the harassment, abuse, threatening, or bullying of individuals or groups of individuals
+      3. 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
+      4. Engage in the unauthorized or unlicensed practice of any profession including, but not limited to, financial, legal, medical/health, or related professional practices
+      5. Collect, process, disclose, generate, or infer health, demographic, or other sensitive personal or private information about individuals without rights and consents required by applicable laws
+      6. 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
+      7. 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
+  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 Meta Llama 3 related to the following:
+      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
+      2. Guns and illegal weapons (including weapon development)
+      3. Illegal drugs and regulated/controlled substances
+      4. Operation of critical infrastructure, transportation technologies, or heavy machinery
+      5. Self-harm or harm to others, including suicide, cutting, and eating disorders
+      6. 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 Meta Llama 3 related to the following:
+      1. Generating, promoting, or furthering fraud or the creation or promotion of disinformation
+      2. Generating, promoting, or furthering defamatory content, including the creation of defamatory statements, images, or other content
+      3. Generating, promoting, or further distributing spam
+      4. Impersonating another individual without consent, authorization, or legal right
+      5. Representing that the use of Meta Llama 3 or outputs are human-generated
+      6. 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
+  
+  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/llama3](https://github.com/meta-llama/llama3)
+      * Reporting risky content generated by the model:
+      developers.facebook.com/llama_output_feedback
+      * Reporting bugs and security concerns: facebook.com/whitehat/info
+      * Reporting violations of the Acceptable Use Policy or unlicensed uses of Meta Llama 3: [email protected]
+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: 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|>
+quantized_by: bartowski
+---
+
+## Llamacpp imatrix Quantizations of Meta-Llama-3-70B-Instruct
+
+Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2777">b2777</a> for quantization.
+
+Original model: https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct
+
+All quants made using imatrix option with dataset provided by Kalomaze [here](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384)
+
+## Prompt format
+
+```
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+
+```
+
+## Download a file (not the whole branch) from below:
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Meta-Llama-3-70B-Instruct-Q8_0.gguf](https://huggingface.co/bartowski/Meta-Llama-3-70B-Instruct-GGUF/tree/main/Meta-Llama-3-70B-Instruct-Q8_0.gguf) | Q8_0 | 74.97GB | Extremely high quality, generally unneeded but max available quant. |
+| [Meta-Llama-3-70B-Instruct-Q6_K.gguf](https://huggingface.co/bartowski/Meta-Llama-3-70B-Instruct-GGUF/tree/main/Meta-Llama-3-70B-Instruct-Q6_K.gguf) | Q6_K | 57.88GB | Very high quality, near perfect, *recommended*. |
+| [Meta-Llama-3-70B-Instruct-Q5_K_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-70B-Instruct-GGUF/blob/main/Meta-Llama-3-70B-Instruct-Q5_K_M.gguf) | Q5_K_M | 49.94GB | High quality, *recommended*. |
+| [Meta-Llama-3-70B-Instruct-Q5_K_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-70B-Instruct-GGUF/blob/main/Meta-Llama-3-70B-Instruct-Q5_K_S.gguf) | Q5_K_S | 48.65GB | High quality, *recommended*. |
+| [Meta-Llama-3-70B-Instruct-Q4_K_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-70B-Instruct-GGUF/blob/main/Meta-Llama-3-70B-Instruct-Q4_K_M.gguf) | Q4_K_M | 42.52GB | Good quality, uses about 4.83 bits per weight, *recommended*. |
+| [Meta-Llama-3-70B-Instruct-Q4_K_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-70B-Instruct-GGUF/blob/main/Meta-Llama-3-70B-Instruct-Q4_K_S.gguf) | Q4_K_S | 40.34GB | Slightly lower quality with more space savings, *recommended*. |
+| [Meta-Llama-3-70B-Instruct-IQ4_NL.gguf](https://huggingface.co/bartowski/Meta-Llama-3-70B-Instruct-GGUF/blob/main/Meta-Llama-3-70B-Instruct-IQ4_NL.gguf) | IQ4_NL | 40.05GB | Decent quality, slightly smaller than Q4_K_S with similar performance *recommended*. |
+| [Meta-Llama-3-70B-Instruct-IQ4_XS.gguf](https://huggingface.co/bartowski/Meta-Llama-3-70B-Instruct-GGUF/blob/main/Meta-Llama-3-70B-Instruct-IQ4_XS.gguf) | IQ4_XS | 37.90GB | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
+| [Meta-Llama-3-70B-Instruct-Q3_K_L.gguf](https://huggingface.co/bartowski/Meta-Llama-3-70B-Instruct-GGUF/blob/main/Meta-Llama-3-70B-Instruct-Q3_K_L.gguf) | Q3_K_L | 37.14GB | Lower quality but usable, good for low RAM availability. |
+| [Meta-Llama-3-70B-Instruct-Q3_K_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-70B-Instruct-GGUF/blob/main/Meta-Llama-3-70B-Instruct-Q3_K_M.gguf) | Q3_K_M | 34.26GB | Even lower quality. |
+| [Meta-Llama-3-70B-Instruct-IQ3_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-70B-Instruct-GGUF/blob/main/Meta-Llama-3-70B-Instruct-IQ3_M.gguf) | IQ3_M | 31.93GB | Medium-low quality, new method with decent performance comparable to Q3_K_M. |
+| [Meta-Llama-3-70B-Instruct-IQ3_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-70B-Instruct-GGUF/blob/main/Meta-Llama-3-70B-Instruct-IQ3_S.gguf) | IQ3_S | 30.91GB | Lower quality, new method with decent performance, recommended over Q3_K_S quant, same size with better performance. |
+| [Meta-Llama-3-70B-Instruct-Q3_K_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-70B-Instruct-GGUF/blob/main/Meta-Llama-3-70B-Instruct-Q3_K_S.gguf) | Q3_K_S | 30.91GB | Low quality, not recommended. |
+| [Meta-Llama-3-70B-Instruct-IQ3_XS.gguf](https://huggingface.co/bartowski/Meta-Llama-3-70B-Instruct-GGUF/blob/main/Meta-Llama-3-70B-Instruct-IQ3_XS.gguf) | IQ3_XS | 29.30GB | Lower quality, new method with decent performance, slightly better than Q3_K_S. |
+| [Meta-Llama-3-70B-Instruct-IQ3_XXS.gguf](https://huggingface.co/bartowski/Meta-Llama-3-70B-Instruct-GGUF/blob/main/Meta-Llama-3-70B-Instruct-IQ3_XXS.gguf) | IQ3_XXS | 27.46GB | Lower quality, new method with decent performance, comparable to Q3 quants. |
+| [Meta-Llama-3-70B-Instruct-Q2_K.gguf](https://huggingface.co/bartowski/Meta-Llama-3-70B-Instruct-GGUF/blob/main/Meta-Llama-3-70B-Instruct-Q2_K.gguf) | Q2_K | 26.37GB | Very low quality but surprisingly usable. |
+| [Meta-Llama-3-70B-Instruct-IQ2_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-70B-Instruct-GGUF/blob/main/Meta-Llama-3-70B-Instruct-IQ2_M.gguf) | IQ2_M | 24.11GB | Very low quality, uses SOTA techniques to also be surprisingly usable. |
+| [Meta-Llama-3-70B-Instruct-IQ2_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-70B-Instruct-GGUF/blob/main/Meta-Llama-3-70B-Instruct-IQ2_S.gguf) | IQ2_S | 22.24GB | Very low quality, uses SOTA techniques to be usable. |
+| [Meta-Llama-3-70B-Instruct-IQ2_XS.gguf](https://huggingface.co/bartowski/Meta-Llama-3-70B-Instruct-GGUF/blob/main/Meta-Llama-3-70B-Instruct-IQ2_XS.gguf) | IQ2_XS | 21.14GB | Very low quality, uses SOTA techniques to be usable. |
+| [Meta-Llama-3-70B-Instruct-IQ2_XXS.gguf](https://huggingface.co/bartowski/Meta-Llama-3-70B-Instruct-GGUF/blob/main/Meta-Llama-3-70B-Instruct-IQ2_XXS.gguf) | IQ2_XXS | 19.09GB | Lower quality, uses SOTA techniques to be usable. |
+| [Meta-Llama-3-70B-Instruct-IQ1_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-70B-Instruct-GGUF/blob/main/Meta-Llama-3-70B-Instruct-IQ1_M.gguf) | IQ1_M | 16.75GB | Extremely low quality, *not* recommended. |
+| [Meta-Llama-3-70B-Instruct-IQ1_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-70B-Instruct-GGUF/blob/main/Meta-Llama-3-70B-Instruct-IQ1_S.gguf) | IQ1_S | 15.34GB | Extremely low quality, *not* recommended. |
+
+## Downloading using huggingface-cli
+
+First, make sure you have hugginface-cli installed:
+
+```
+pip install -U "huggingface_hub[cli]"
+```
+
+Then, you can target the specific file you want:
+
+```
+huggingface-cli download bartowski/Meta-Llama-3-70B-Instruct-GGUF --include "Meta-Llama-3-70B-Instruct-Q4_K_M.gguf" --local-dir ./ --local-dir-use-symlinks False
+```
+
+If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run:
+
+```
+huggingface-cli download bartowski/Meta-Llama-3-70B-Instruct-GGUF --include "Meta-Llama-3-70B-Instruct-Q8_0.gguf/*" --local-dir Meta-Llama-3-70B-Instruct-Q8_0 --local-dir-use-symlinks False
+```
+
+You can either specify a new local-dir (Meta-Llama-3-70B-Instruct-Q8_0) or download them all in place (./)
+
+## Which file should I choose?
+
+A great write up with charts showing various performances is provided by Artefact2 [here](https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9)
+
+The first thing to figure out is how big a model you can run. To do this, you'll need to figure out how much RAM and/or VRAM you have.
+
+If you want your model running as FAST as possible, you'll want to fit the whole thing on your GPU's VRAM. Aim for a quant with a file size 1-2GB smaller than your GPU's total VRAM.
+
+If you want the absolute maximum quality, add both your system RAM and your GPU's VRAM together, then similarly grab a quant with a file size 1-2GB Smaller than that total.
+
+Next, you'll need to decide if you want to use an 'I-quant' or a 'K-quant'.
+
+If you don't want to think too much, grab one of the K-quants. These are in format 'QX_K_X', like Q5_K_M.
+
+If you want to get more into the weeds, you can check out this extremely useful feature chart:
+
+[llama.cpp feature matrix](https://github.com/ggerganov/llama.cpp/wiki/Feature-matrix)
+
+But basically, if you're aiming for below Q4, and you're running cuBLAS (Nvidia) or rocBLAS (AMD), you should look towards the I-quants. These are in format IQX_X, like IQ3_M. These are newer and offer better performance for their size.
+
+These I-quants can also be used on CPU and Apple Metal, but will be slower than their K-quant equivalent, so speed vs performance is a tradeoff you'll have to decide.
+
+The I-quants are *not* compatible with Vulcan, which is also AMD, so if you have an AMD card double check if you're using the rocBLAS build or the Vulcan build. At the time of writing this, LM Studio has a preview with ROCm support, and other inference engines have specific builds for ROCm.
+
+Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski