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DaringMaid 20B GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:kooten/daringmaid-2... Base model:quantized:kooten/da...   En   Gptq   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/DaringMaid-20B-GPTQ 

DaringMaid 20B GPTQ Benchmarks

LLME Score: 0.15275
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DaringMaid 20B GPTQ (TheBloke/DaringMaid-20B-GPTQ)

DaringMaid 20B GPTQ Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Research, Commercial applications
Supported Languages 
en (full)
Training Details 
Data Sources:
sequelbox/DynamicFactor, NeverSleep/Noromaid-13b-v0.1.1, Undi95/Utopia-13B, tavtav/Rose-20B, CalderaAI/13B-Thorns-l2, Gryphe/MythoMax-L2-13b
Methodology:
Utilized mergekit to combine various models listed in config files for enhanced capabilities over Llama 2.
Hardware Used:
Massed Compute hardware
Model Architecture:
Based on and derived from modifications over the Llama 2 architecture.
Input Output 
Input Format:
Prompt template in Alpaca format
Accepted Modalities:
text
Output Format:
Text generation adhering to prompt instructions
LLM NameDaringMaid 20B GPTQ
Repository 🤗https://huggingface.co/TheBloke/DaringMaid-20B-GPTQ 
Model NameDaringMaid 20B
Model CreatorKooten
Base Model(s)  DaringMaid 20B   Kooten/DaringMaid-20B
Model Size20b
Required VRAM10.5 GB
Updated2025-02-22
MaintainerTheBloke
Model Typellama
Model Files  10.5 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
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-GPTQ.

Rank the DaringMaid 20B GPTQ 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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Release v20241227
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