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Leo Hessianai 13B AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:leolm/leo-hessianai... Base model:quantized:leolm/leo...   Custom code Dataset:bjoernp/tagesschau-201... Dataset:oscar-corpus/oscar-230...   Dataset:wikipedia   De   En   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/leo-hessianai-13B-AWQ 

Leo Hessianai 13B AWQ Benchmarks

LLME Score: 0.10825
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Leo Hessianai 13B AWQ (TheBloke/leo-hessianai-13B-AWQ)
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Leo Hessianai 13B AWQ Parameters and Internals

Model Type 
Causal decoder-only transformer language model
Additional Notes 
Meet LeoLM, a project by Björn Plüster and Christoph Schuhmann in collaboration with LAION and HessianAI.
Supported Languages 
en (English), de (German)
Training Details 
Data Sources:
oscar-corpus/OSCAR-2301, wikipedia, bjoernp/tagesschau-2018-2023
Methodology:
The first open and commercially available German Foundation Language Model built on Llama-2. Our models extend Llama-2's capabilities into German through continued pretraining on a large corpus of German-language and mostly locality specific text.
Context Length:
8000
Hardware Used:
HessianAI's new supercomputer **42**
Model Architecture:
LLama-based
Input Output 
Accepted Modalities:
text
Output Format:
text generation
LLM NameLeo Hessianai 13B AWQ
Repository 🤗https://huggingface.co/TheBloke/leo-hessianai-13B-AWQ 
Model NameLeo Hessianai 13B
Model CreatorLAION LeoLM
Base Model(s)  Leo Hessianai 13B   LeoLM/leo-hessianai-13b
Model Size13b
Required VRAM7.2 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Model Files  7.2 GB
Supported Languagesen de
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length8192
Model Max Length8192
Transformers Version4.33.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/leo-hessianai-13B-AWQ.

Rank the Leo Hessianai 13B 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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