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DaringMaid 20B AWQ by TheBloke

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DaringMaid 20B AWQ is an open-source language model by TheBloke. Features: 20b LLM, VRAM: 10.9GB, Context: 4K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.11.

  4-bit   Awq Base model:kooten/daringmaid-2... Base model:quantized:kooten/da...   En   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/DaringMaid-20B-AWQ 

DaringMaid 20B AWQ Benchmarks

LLME Score: 0.10683
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DaringMaid 20B AWQ (TheBloke/DaringMaid-20B-AWQ)
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DaringMaid 20B AWQ Parameters and Internals

Model Type 
llama, text-generation
Additional Notes 
The DaringMaid 20B model was quantized using hardware provided by Massed Compute. AWQ is used as a low-bit weight quantization method, allowing efficient and fast inference.
Supported Languages 
en (Proficient)
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
Accepted Modalities:
text
Output Format:
Text
LLM NameDaringMaid 20B AWQ
Repository 🤗https://huggingface.co/TheBloke/DaringMaid-20B-AWQ 
Model NameDaringMaid 20B
Model CreatorKooten
Base Model(s)  DaringMaid 20B   Kooten/DaringMaid-20B
Model Size20b
Required VRAM10.9 GB
Updated2026-05-20
MaintainerTheBloke
Model Typellama
Model Files  10.0 GB: 1-of-2   0.9 GB: 2-of-2
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
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 TheBloke/DaringMaid-20B-AWQ.

Rank the DaringMaid 20B AWQ 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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