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Llama 3 SauerkrautLM 70B Instruct by VAGOsolutions

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  Autotrain compatible   Conversational   De   Dpo   En   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct 

Llama 3 SauerkrautLM 70B Instruct Benchmarks

MMLU Pro: 48.8
GPQA: 10.4
MUSR: 13.54
BBH: 52.03
IFEval: 80.45 vs 88 (so35)-8.6%
MATH Lvl 5: 23.79
LLME Score: 0.34351
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 SauerkrautLM 70B Instruct (VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct)

Llama 3 SauerkrautLM 70B Instruct Parameters and Internals

Model Type 
text generation, instruction following
Use Cases 
Areas:
research, commercial applications
Primary Use Cases:
business applications
Considerations:
Can be customized for specific business needs.
Additional Notes 
Due to the nature of the training data, there might be some uncensored content. Hence, users should report inappropriate results.
Supported Languages 
German (High), English (High)
Training Details 
Data Sources:
curated German data
Data Volume:
70k data
Methodology:
DPO Fine-Tuning, 1 epoch
Input Output 
Input Format:
Includes special tokens for user, assistant, etc.
Accepted Modalities:
text
Output Format:
Textual responses in line with prompt structure.
LLM NameLlama 3 SauerkrautLM 70B Instruct
Repository 🤗https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct 
Model Size70b
Required VRAM141.9 GB
Updated2024-12-22
MaintainerVAGOsolutions
Model Typellama
Instruction-BasedYes
Model Files  4.6 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.1 GB: 30-of-30
Supported Languagesde en
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

Quantized Models of the Llama 3 SauerkrautLM 70B Instruct

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Downloads
VRAM
...erkrautLM 70B Instruct GPTQ 8B141574 GB
... SauerkrautLM 70B Instruct AWQ0939 GB
...SauerkrautLM 70B Instruct GPTQ32739 GB

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Note: green Score (e.g. "73.2") means that the model is better than VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct.

Rank the Llama 3 SauerkrautLM 70B Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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