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SauerkrautLM 7B HerO AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  SauerkrautLM 7B HerO AWQ   URL Share it on

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  4-bit   Augmentation   Autotrain compatible   Awq Base model:quantized:vagosolut... Base model:vagosolutions/sauer...   Chatml   Conversational   De   En   Finetuned   German   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/SauerkrautLM-7B-HerO-AWQ 

SauerkrautLM 7B HerO AWQ Benchmarks

LLME Score: 0.15667
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SauerkrautLM 7B HerO AWQ (TheBloke/SauerkrautLM-7B-HerO-AWQ)

SauerkrautLM 7B HerO AWQ Parameters and Internals

Model Type 
auto-regressive language model, text generation
Use Cases 
Areas:
Research, Commercial applications
Additional Notes 
The model combines the strengths of two high-performing models through merging, resulting in advanced bilingual proficiency.
Supported Languages 
English (proficient), German (advanced)
Training Details 
Methodology:
Trained with a mix of German data augmentation and translated data, using the gradient SLERP method from MergeKit.
Hardware Used:
1 A100 GPU
Model Architecture:
Transformers, based on the Mistral framework
Input Output 
Input Format:
ChatML format
Accepted Modalities:
text
Output Format:
Text responses
Performance Tips:
Use appropriate libraries and updated versions for optimal performance.
Release Notes 
Notes:
Model release with descriptions of benchmarks and evaluation metrics.
LLM NameSauerkrautLM 7B HerO AWQ
Repository 🤗https://huggingface.co/TheBloke/SauerkrautLM-7B-HerO-AWQ 
Model NameSauerkrautLM 7B HerO
Model CreatorVAGO solutions
Base Model(s)  SauerkrautLM 7B HerO   VAGOsolutions/SauerkrautLM-7b-HerO
Model Size7b
Required VRAM4.2 GB
Updated2024-12-22
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen de
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/SauerkrautLM-7B-HerO-AWQ.

Rank the SauerkrautLM 7B HerO AWQ Capabilities

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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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