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Norocetacean 20B 10K AWQ by TheBloke

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Norocetacean 20B 10K AWQ is an open-source language model by TheBloke. Features: 20b LLM, VRAM: 10.9GB, Context: 10K, License: other, Quantized, LLM Explorer Score: 0.11.

  4-bit   Awq Base model:ddh0/norocetacean-2... Base model:quantized:ddh0/noro...   Custom code   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Norocetacean-20B-10k-AWQ 

Norocetacean 20B 10K AWQ Benchmarks

LLME Score: 0.10834
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Norocetacean 20B 10K AWQ (TheBloke/Norocetacean-20B-10k-AWQ)
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Norocetacean 20B 10K AWQ Parameters and Internals

Model Type 
llama, text-generation
Additional Notes 
This model uses AWQ for efficient low-bit weight quantization, supporting 4-bit quantization for faster Transformers-based inference. It is currently supported on Linux and Windows, with NVidia GPUs.
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
LLM NameNorocetacean 20B 10K AWQ
Repository 🤗https://huggingface.co/TheBloke/Norocetacean-20B-10k-AWQ 
Model NameNorocetacean 20B 10K
Model Creatorddh0
Base Model(s)  Norocetacean 20B 10K   ddh0/Norocetacean-20b-10k
Model Size20b
Required VRAM10.9 GB
Updated2026-05-25
MaintainerTheBloke
Model Typellama
Model Files  10.0 GB: 1-of-2   0.9 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length10240
Model Max Length10240
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32000
Torch Data Typefloat16

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Rank the Norocetacean 20B 10K AWQ 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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