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---
base_model: arnomatic/Llama-3.1-8B-Instruct-heretic-V1-1
extra_gated_button_content: Submit
extra_gated_fields:
Affiliation: text
? 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
Country: country
Date of birth: date_picker
First Name: text
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options:
- Student
- Research Graduate
- AI researcher
- AI developer/engineer
- Reporter
- Other
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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 herein.\n\"Documentation\"
means the specifications, manuals and documentation accompanying Llama 3.1 distributed
by Meta at https://llama.meta.com/doc/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 3.1\" 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.\n\"Llama
Materials\" means, collectively, Meta’s proprietary Llama 3.1 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. (if you are located outside of the EEA or Switzerland).\n \n1. License Rights
and Redistribution.\na. 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.\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
another AI model) that contains any of them, you shall (A) provide a copy of this
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Llama” on a related website, user interface, blogpost, about page, or product documentation.
If you use the Llama Materials or any outputs or results of 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” at the beginning of any such AI
model name.\nii. 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.\niii. 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: “Llama 3.1 is licensed under the
Llama 3.1 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://llama.meta.com/llama3_1/use-policy),
which is hereby incorporated by reference into this Agreement.\n2. Additional Commercial
Terms. If, on the Llama 3.1 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.\n3. 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.\n4.
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.\n5.
Intellectual Property.\na. No trademark licenses are granted under this Agreement,
and in connection with the Llama Materials, neither Meta nor Licensee may use any
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as required for reasonable and customary use in describing and redistributing the
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to use “Llama” (the “Mark”) solely as required to comply with the last sentence
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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.\nb. 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.\nc. 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 Llama 3.1 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.\n6.
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.\n7. 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.\n### Llama 3.1 Acceptable
Use Policy\nMeta is committed to promoting safe and fair use of its tools and features,
including Llama 3.1. If you access or use Llama 3.1, you agree to this Acceptable
Use Policy (“Policy”). The most recent copy of this policy can be found at [https://llama.meta.com/llama3_1/use-policy](https://llama.meta.com/llama3_1/use-policy)\n####
Prohibited Uses\nWe want everyone to use Llama 3.1 safely and responsibly. You agree
you will not use, or allow others to use, Llama 3.1 to:\n 1. 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 3. Engage in, promote,
incite, or facilitate the harassment, abuse, threatening, or bullying of individuals
or groups of individuals\n 4. 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 5. Engage in the unauthorized or unlicensed practice of any profession
including, but not limited to, financial, legal, medical/health, or related professional
practices\n 6. 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\n 7. 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\n 8. 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\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 3.1 related to the following:\n
\ 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\n 2. Guns and illegal
weapons (including weapon development)\n 3. Illegal drugs and regulated/controlled
substances\n 4. Operation of critical infrastructure, transportation technologies,
or heavy machinery\n 5. Self-harm or harm to others, including suicide, cutting,
and eating disorders\n 6. 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 3.1 related to the following:\n 1.
Generating, promoting, or furthering fraud or the creation or promotion of disinformation\n
\ 2. Generating, promoting, or furthering defamatory content, including the creation
of defamatory statements, images, or other content\n 3. Generating, promoting,
or further distributing spam\n 4. Impersonating another individual without consent,
authorization, or legal right\n 5. Representing that the use of Llama 3.1 or
outputs are human-generated\n 6. 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\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://github.com/meta-llama/llama-models/issues)\n
\ * Reporting risky content generated by the model:\n 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 Meta Llama 3: LlamaUseReport@meta.com"
language:
- en
- de
- fr
- it
- pt
- hi
- es
- th
library_name: transformers
license: llama3.1
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- facebook
- meta
- pytorch
- llama
- llama-3
- heretic
- uncensored
- decensored
- abliterated
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
weighted/imatrix quants of https://huggingface.co/arnomatic/Llama-3.1-8B-Instruct-heretic-V1-1
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF).***
static quants are available at https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
more details, including on how to concatenate multi-part files.
## Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-IQ1_S.gguf) | i1-IQ1_S | 2.1 | for the desperate |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-IQ1_M.gguf) | i1-IQ1_M | 2.3 | mostly desperate |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.5 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.7 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-IQ2_S.gguf) | i1-IQ2_S | 2.9 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-IQ2_M.gguf) | i1-IQ2_M | 3.0 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-Q2_K_S.gguf) | i1-Q2_K_S | 3.1 | very low quality |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-Q2_K.gguf) | i1-Q2_K | 3.3 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 3.4 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.6 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.8 | IQ3_XS probably better |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-IQ3_S.gguf) | i1-IQ3_S | 3.8 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-IQ3_M.gguf) | i1-IQ3_M | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-Q3_K_M.gguf) | i1-Q3_K_M | 4.1 | IQ3_S probably better |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-Q3_K_L.gguf) | i1-Q3_K_L | 4.4 | IQ3_M probably better |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.5 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-Q4_0.gguf) | i1-Q4_0 | 4.8 | fast, low quality |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-IQ4_NL.gguf) | i1-IQ4_NL | 4.8 | prefer IQ4_XS |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.8 | optimal size/speed/quality |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-Q4_K_M.gguf) | i1-Q4_K_M | 5.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-Q4_1.gguf) | i1-Q4_1 | 5.2 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.7 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-V1-1-i1-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic-V1-1.i1-Q6_K.gguf) | i1-Q6_K | 6.7 | practically like static Q6_K |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
## FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.
## Thanks
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
<!-- end -->