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DaringMaid 20B AWQ by TheBloke

By TheBloke · 2 downloads

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: 0.1.

  4-bit   Awq Base model:kooten/daringmaid-2... Base model:quantized:kooten/da...   En   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

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 πŸ€—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
Updated2026-07-30
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.