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DaringMaid 20B V1.1 3bpw EXL2 by Kooten

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DaringMaid 20B V1.1 3bpw EXL2 is an open-source language model by Kooten. Features: 20b LLM, VRAM: 7.9GB, Context: 4K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.12.

  En   Endpoints compatible   Exl2   Llama   Merge   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Kooten/DaringMaid-20B-V1.1-3bpw-exl2 

DaringMaid 20B V1.1 3bpw EXL2 Benchmarks

LLME Score: 0.11523
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DaringMaid 20B V1.1 3bpw EXL2 (Kooten/DaringMaid-20B-V1.1-3bpw-exl2)
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DaringMaid 20B V1.1 3bpw EXL2 Parameters and Internals

Model Type 
text-generation
Additional Notes 
This version uses Noromaid-13b v0.3 instead of v0.1.1, with adjustments in its contribution. It maintains previous quant configurations and includes updates for FP16.
Supported Languages 
languages_supported (en), proficiency_level (unknown)
Input Output 
Input Format:
The expected input follows a prompt template format with instructions, input, and a response section.
Accepted Modalities:
text
Output Format:
Generates text based on given prompts.
LLM NameDaringMaid 20B V1.1 3bpw EXL2
Repository 🤗https://huggingface.co/Kooten/DaringMaid-20B-V1.1-3bpw-exl2 
Model Size20b
Required VRAM7.9 GB
Updated2026-04-04
MaintainerKooten
Model Typellama
Model Files  7.9 GB
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.30.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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DaringMaid 20B 3bpw EXL24K / 7.9 GB91
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Note: green Score (e.g. "73.2") means that the model is better than Kooten/DaringMaid-20B-V1.1-3bpw-exl2.

Rank the DaringMaid 20B V1.1 3bpw EXL2 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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