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WhiteRabbitNeo 13B V1 GGUF by MaziyarPanahi

 »  All LLMs  »  MaziyarPanahi  »  WhiteRabbitNeo 13B V1 GGUF   URL Share it on

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  2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Autotrain compatible Base model:quantized:whiterabb... Base model:whiterabbitneo/whit...   Custom code   Endpoints compatible   Gguf   Has space   Llama   Mistral   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/WhiteRabbitNeo-13B-v1-GGUF 

WhiteRabbitNeo 13B V1 GGUF Benchmarks

LLME Score: 0.1483
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WhiteRabbitNeo 13B V1 GGUF (MaziyarPanahi/WhiteRabbitNeo-13B-v1-GGUF)
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WhiteRabbitNeo 13B V1 GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is available in various quantization formats (2-bit, 3-bit, 4-bit, 5-bit, 6-bit, 8-bit) and GGUF file format. The model uses libraries and tools that support GGUF format, and there's detailed guidance on downloading and using the model with llama-cpp-python for Python, and in various UIs, including text-generation-webui and LangChain.
LLM NameWhiteRabbitNeo 13B V1 GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/WhiteRabbitNeo-13B-v1-GGUF 
Model NameWhiteRabbitNeo-13B-v1-GGUF
Model CreatorWhiteRabbitNeo
Base Model(s)  WhiteRabbitNeo 13B V1   WhiteRabbitNeo/WhiteRabbitNeo-13B-v1
Model Size13b
Required VRAM4.8 GB
Updated2025-07-01
MaintainerMaziyarPanahi
Model Typemistral
Model Files  4.8 GB   6.9 GB   6.3 GB   5.7 GB   7.9 GB   7.4 GB   9.2 GB   9.0 GB   10.7 GB   13.8 GB   26.0 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/WhiteRabbitNeo-13B-v1-GGUF.

Rank the WhiteRabbitNeo 13B V1 GGUF 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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