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README.md

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+---
+language:
+- de
+- en
+tags:
+- dpo
+
+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
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+
+  "Licensee" or "you" means you, or your employer or any other person or entity (if you are entering into
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+
+  "Meta Llama 3" means the foundational large language models and software and algorithms, including
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+  v. You will not use the Llama Materials or any output or results of the Llama Materials to
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+  2. Additional Commercial Terms. If, on the Meta Llama 3 version release date, the monthly active users
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+
+  ### 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:
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+          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
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+          5. Sexual solicitation
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+  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: 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
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+extra_gated_button_content: Submit
+---
+
+
+![SauerkrautLM](https://vago-solutions.ai/wp-content/uploads/2024/04/Llama3-70b-Pic.png "Llama-3-SauerkrautLM-70b-Instruct")
+## VAGO solutions Llama-3-SauerkrautLM-70b-Instruct
+Introducing **Llama-3-SauerkrautLM-70b-Instruct** – our Sauerkraut version of the powerful [meta-llama/Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)!
+
+The model **Llama-3-SauerkrautLM-70b-Instruct** is a **joint effort** between **VAGO Solutions** and **Hyperspace.ai.** 
+
+- Aligned with **DPO**
+
+# Table of Contents
+1. [Overview of all Llama-3-SauerkrautLM-70b-Instruct](#all-Llama-3-SauerkrautLM-70b-Instruct)
+2. [Model Details](#model-details)
+   - [Prompt template](#prompt-template)
+   - [Training procedure](#proceed-of-the-training)
+3. [Evaluation](#evaluation)
+5. [Disclaimer](#disclaimer)
+6. [Contact](#contact)
+7. [Collaborations](#collaborations)
+8. [Acknowledgement](#acknowledgement)
+
+
+## All SauerkrautLM-llama-3-70b-Instruct
+
+| Model | HF    | EXL2  | GGUF  | AWQ  |
+|-------|-------|-------|-------|-------|
+| Llama-3-SauerkrautLM-70b-Instruct | [Link](https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct) | [Link](https://huggingface.co/bartowski/Llama-3-SauerkrautLM-70b-Instruct-exl2) | [Link](https://huggingface.co/bartowski/Llama-3-SauerkrautLM-70b-Instruct-GGUF) | coming soon |
+
+## Model Details
+**SauerkrautLM-llama-3-70B-Instruct**
+- **Model Type:** Llama-3-SauerkrautLM-70b-Instruct is a finetuned Model based on [meta-llama/Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct)
+- **Language(s):** German, English
+- **License:** [meta-llama](https://llama.meta.com/llama3/license)
+- **Contact:** [VAGO solutions](https://vago-solutions.ai), [Hyperspace.ai](https://hyperspace.computer/)
+
+### Training procedure:
+- We trained this model with DPO Fine-Tuning for 1 epoch with 70k data.
+
+**We improved the model's capabilities noticably by feeding it with curated German data.**
+
+
+### Prompt Template:
+
+**English:**
+```
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+You are a helpful AI assistant.<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+Input<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+```
+
+**German:**
+```
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+Du bist ein freundlicher und hilfreicher deutscher KI-Assistent.<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+Input<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+```
+
+## Evaluation
+
+**Open LLM Leaderboard:**
+
+evaluated with lm-evaluation-benchmark-harness 0.4.2
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | **80.98**  |
+| ARC (25-shot)         | 74.31          |
+| HellaSwag (10-shot)   | 87.56   |
+| MMLU (5-shot)         | 81.09 |
+| TruthfulQA (0-shot)   | 67.01 |
+| Winogrande (5-shot)   | 84.69  |
+| GSM8K (5-shot)        | 91.20        |
+
+
+**MT-Bench English**
+coming soon
+
+
+**MT-Bench German**
+coming soon
+
+
+## Disclaimer
+We must inform users that despite our best efforts in data cleansing, the possibility of uncensored content slipping through cannot be entirely ruled out.
+However, we cannot guarantee consistently appropriate behavior. Therefore, if you encounter any issues or come across inappropriate content, we kindly request that you inform us through the contact information provided.
+Additionally, it is essential to understand that the licensing of these models does not constitute legal advice. We are not held responsible for the actions of third parties who utilize our models.
+ 
+## Contact
+If you are interested in customized LLMs for business applications, please get in contact with us via our websites. We are also grateful for your feedback and suggestions.
+ 
+## Collaborations
+We are also keenly seeking support and investment for our startups, VAGO solutions and Hyperspace where we continuously advance the development of robust language models designed to address a diverse range of purposes and requirements. If the prospect of collaboratively navigating future challenges excites you, we warmly invite you to reach out to us at [VAGO solutions](https://vago-solutions.de/#Kontakt), [Hyperspace.computer](https://hyperspace.computer/)
+
+## Acknowledgement
+Many thanks to [Meta](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) for providing such valuable model to the Open-Source community.
+Also many thanks to [bartowski](https://huggingface.co/bartowski) for super fast quantification of our Model in GGUF and EXL format.