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WhiteRabbitNeo 33B V1 AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  WhiteRabbitNeo 33B V1 AWQ   URL Share it on

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  4-bit   Autotrain compatible   Awq Base model:quantized:whiterabb... Base model:whiterabbitneo/whit...   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/WhiteRabbitNeo-33B-v1-AWQ 

WhiteRabbitNeo 33B V1 AWQ Benchmarks

LLME Score: 0.12908
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WhiteRabbitNeo 33B V1 AWQ (TheBloke/WhiteRabbitNeo-33B-v1-AWQ)
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WhiteRabbitNeo 33B V1 AWQ Parameters and Internals

Model Type 
deepseek
Use Cases 
Limitations:
Cannot be used in ways that violate laws or infringe on the rights of others., Cannot be used for military purposes., Cannot be used to exploit, harm, or attempt to harm minors., Cannot be used to generate false or harmful information., Cannot be used for automated decision making that adversely affects legal rights., Cannot be used to discriminate based on certain characteristics.
Input Output 
Input Format:
Text prompt using a reasoning framework.
Accepted Modalities:
text
Output Format:
Logical, multi-step reasoning with explanations.
LLM NameWhiteRabbitNeo 33B V1 AWQ
Repository 🤗https://huggingface.co/TheBloke/WhiteRabbitNeo-33B-v1-AWQ 
Model NameWhiteRabbitNeo 33B v1
Model CreatorWhiteRabbitNeo
Base Model(s)  whiterabbitneo/WhiteRabbitNeo-33B-v1   whiterabbitneo/WhiteRabbitNeo-33B-v1
Model Size33b
Required VRAM18.1 GB
Updated2025-11-10
MaintainerTheBloke
Model Typedeepseek
Model Files  10.0 GB: 1-of-2   8.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length16384
Model Max Length16384
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size32256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/WhiteRabbitNeo-33B-v1-AWQ.

Rank the WhiteRabbitNeo 33B V1 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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Release v20241124
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