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README.md

@@ -0,0 +1,245 @@
+---
+language:
+- de
+- en
+tags:
+- two stage dpo
+- dpo
+- TensorBlock
+- GGUF
+license: other
+license_name: llama3
+license_link: LICENSE
+extra_gated_prompt: "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version\
+  \ Release Date: April 18, 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 Meta Llama 3 distributed by Meta at https://llama.meta.com/get-started/.\n\
+  \"Licensee\" or \"you\" means you, or your employer or any other person or entity\
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+  \ 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\"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.\n\
+  \"Llama Materials\" means, collectively, Meta’s proprietary Meta Llama 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\
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+  \ Llama Materials to use, reproduce, distribute, copy, create derivative works of,\
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+  \ model, you shall (A) provide a copy of this Agreement with any such Llama Materials;\
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+  \ into this Agreement.\nv. You will not use the Llama Materials or any output or\
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+  \ goodwill arising out of your use of the Mark will inure to the benefit of Meta.\n\
+  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\
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+  \ 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.\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### Meta Llama 3 Acceptable Use\
+  \ Policy\nMeta 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)\n\
+  #### Prohibited Uses\nWe 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:\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    2. Engage in, promote, incite, or facilitate the\
+  \ harassment, abuse, threatening, or bullying of individuals or groups of individuals\n\
+  \    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\n    4.\
+  \ Engage in the unauthorized or unlicensed practice of any profession including,\
+  \ but not limited to, financial, legal, medical/health, or related professional\
+  \ practices\n    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\n    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\n    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\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 Meta Llama 3 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 Meta Llama 3 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 Meta Llama 3 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/llama3](https://github.com/meta-llama/llama3)\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"
+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
+base_model: VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
+---
+
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<div style="display: flex; justify-content: space-between; width: 100%;">
+    <div style="display: flex; flex-direction: column; align-items: flex-start;">
+        <p style="margin-top: 0.5em; margin-bottom: 0em;">
+            Feedback and support: TensorBlock's  <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
+        </p>
+    </div>
+</div>
+
+## VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct - GGUF
+
+This repo contains GGUF format model files for [VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct).
+
+The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
+
+## Prompt template
+
+```
+<|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|>
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Llama-3-SauerkrautLM-8b-Instruct-Q2_K.gguf](https://huggingface.co/tensorblock/Llama-3-SauerkrautLM-8b-Instruct-GGUF/tree/main/Llama-3-SauerkrautLM-8b-Instruct-Q2_K.gguf) | Q2_K | 2.961 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Llama-3-SauerkrautLM-8b-Instruct-Q3_K_S.gguf](https://huggingface.co/tensorblock/Llama-3-SauerkrautLM-8b-Instruct-GGUF/tree/main/Llama-3-SauerkrautLM-8b-Instruct-Q3_K_S.gguf) | Q3_K_S | 3.413 GB | very small, high quality loss |
+| [Llama-3-SauerkrautLM-8b-Instruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/Llama-3-SauerkrautLM-8b-Instruct-GGUF/tree/main/Llama-3-SauerkrautLM-8b-Instruct-Q3_K_M.gguf) | Q3_K_M | 3.743 GB | very small, high quality loss |
+| [Llama-3-SauerkrautLM-8b-Instruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/Llama-3-SauerkrautLM-8b-Instruct-GGUF/tree/main/Llama-3-SauerkrautLM-8b-Instruct-Q3_K_L.gguf) | Q3_K_L | 4.025 GB | small, substantial quality loss |
+| [Llama-3-SauerkrautLM-8b-Instruct-Q4_0.gguf](https://huggingface.co/tensorblock/Llama-3-SauerkrautLM-8b-Instruct-GGUF/tree/main/Llama-3-SauerkrautLM-8b-Instruct-Q4_0.gguf) | Q4_0 | 4.341 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Llama-3-SauerkrautLM-8b-Instruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/Llama-3-SauerkrautLM-8b-Instruct-GGUF/tree/main/Llama-3-SauerkrautLM-8b-Instruct-Q4_K_S.gguf) | Q4_K_S | 4.370 GB | small, greater quality loss |
+| [Llama-3-SauerkrautLM-8b-Instruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/Llama-3-SauerkrautLM-8b-Instruct-GGUF/tree/main/Llama-3-SauerkrautLM-8b-Instruct-Q4_K_M.gguf) | Q4_K_M | 4.583 GB | medium, balanced quality - recommended |
+| [Llama-3-SauerkrautLM-8b-Instruct-Q5_0.gguf](https://huggingface.co/tensorblock/Llama-3-SauerkrautLM-8b-Instruct-GGUF/tree/main/Llama-3-SauerkrautLM-8b-Instruct-Q5_0.gguf) | Q5_0 | 5.215 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Llama-3-SauerkrautLM-8b-Instruct-Q5_K_S.gguf](https://huggingface.co/tensorblock/Llama-3-SauerkrautLM-8b-Instruct-GGUF/tree/main/Llama-3-SauerkrautLM-8b-Instruct-Q5_K_S.gguf) | Q5_K_S | 5.215 GB | large, low quality loss - recommended |
+| [Llama-3-SauerkrautLM-8b-Instruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/Llama-3-SauerkrautLM-8b-Instruct-GGUF/tree/main/Llama-3-SauerkrautLM-8b-Instruct-Q5_K_M.gguf) | Q5_K_M | 5.339 GB | large, very low quality loss - recommended |
+| [Llama-3-SauerkrautLM-8b-Instruct-Q6_K.gguf](https://huggingface.co/tensorblock/Llama-3-SauerkrautLM-8b-Instruct-GGUF/tree/main/Llama-3-SauerkrautLM-8b-Instruct-Q6_K.gguf) | Q6_K | 6.143 GB | very large, extremely low quality loss |
+| [Llama-3-SauerkrautLM-8b-Instruct-Q8_0.gguf](https://huggingface.co/tensorblock/Llama-3-SauerkrautLM-8b-Instruct-GGUF/tree/main/Llama-3-SauerkrautLM-8b-Instruct-Q8_0.gguf) | Q8_0 | 7.954 GB | very large, extremely low quality loss - not recommended |
+
+
+## Downloading instruction
+
+### Command line
+
+Firstly, install Huggingface Client
+
+```shell
+pip install -U "huggingface_hub[cli]"
+```
+
+Then, downoad the individual model file the a local directory
+
+```shell
+huggingface-cli download tensorblock/Llama-3-SauerkrautLM-8b-Instruct-GGUF --include "Llama-3-SauerkrautLM-8b-Instruct-Q2_K.gguf" --local-dir MY_LOCAL_DIR
+```
+
+If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
+
+```shell
+huggingface-cli download tensorblock/Llama-3-SauerkrautLM-8b-Instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```