DaringMaid 20B 6bpw EXL2 by Kooten

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  Autotrain compatible   En   Endpoints compatible   Exl2   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

DaringMaid 20B 6bpw EXL2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DaringMaid 20B 6bpw EXL2 (Kooten/DaringMaid-20B-6bpw-exl2)

DaringMaid 20B 6bpw EXL2 Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is a combination of several models aimed at improving performance over the base llama2.
Supported Languages 
en (proficient)
Input Output 
Input Format:
Instruction-based prompts following the Alpaca template.
Accepted Modalities:
text
Output Format:
Concise task responses prefixed by 'full body portrait.'
LLM NameDaringMaid 20B 6bpw EXL2
Repository ๐Ÿค—https://huggingface.co/Kooten/DaringMaid-20B-6bpw-exl2 
Model Size20b
Required VRAM15.3 GB
Updated2025-02-22
MaintainerKooten
Model Typellama
Model Files  8.6 GB: 1-of-2   6.7 GB: 2-of-2
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Kooten/DaringMaid-20B-6bpw-exl2.

Rank the DaringMaid 20B 6bpw EXL2 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 v20241227