What are the hardware requirements for WhiteRabbitNeo 13B V1 GGUF?

WhiteRabbitNeo 13B V1 GGUF requires approximately 4.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed WhiteRabbitNeo 13B V1 GGUF and how large is it?

WhiteRabbitNeo 13B V1 GGUF is developed by MaziyarPanahi, a model with 13b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate WhiteRabbitNeo 13B V1 GGUF?

WhiteRabbitNeo 13B V1 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

WhiteRabbitNeo 13B V1 GGUF by MaziyarPanahi — VRAM 4.8GB

Name: WhiteRabbitNeo 13B V1 GGUF
Author: MaziyarPanahi

WhiteRabbitNeo 13B V1 GGUF is an open-source language model by MaziyarPanahi. Features: 13b LLM, VRAM: 4.8GB, Quantized, LLM Explorer Score: 0.12.

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 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 Name	WhiteRabbitNeo 13B V1 GGUF
Repository 🤗	https://huggingface.co/MaziyarPanahi/WhiteRabbitNeo-13B-v1-GGUF
Model Name	WhiteRabbitNeo-13B-v1-GGUF
Model Creator	WhiteRabbitNeo
Base Model(s)	WhiteRabbitNeo 13B V1 WhiteRabbitNeo/WhiteRabbitNeo-13B-v1
Model Size	13b
Required VRAM	4.8 GB
Updated	2026-07-28
Maintainer	MaziyarPanahi
Model Type	mistral
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 Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel

Rank the WhiteRabbitNeo 13B V1 GGUF capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to WhiteRabbitNeo 13B V1 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
MythoMax L2 13B GGUF	0K / 5.4 GB	33388	262
Llama 3 13B Instruct V0.1 GGUF	0K / 5.1 GB	1940	5
WhiteRabbitNeo 13B GGUF	0K / 5.4 GB	8943	62
Hermes 2 Pro Llama 3 13B GGUF	0K / 4.6 GB	149	1
Llama3 13B Ku GGUF	0K / 8.7 GB	52	0
...aMa 3 Instruct Zeroed 13B GGUF	0K / 5 GB	42	1
LLaMa 3 Base Zeroed 13B GGUF	0K / 5 GB	16	1
Model1	0K / 13.8 GB	10	0
Codellama 7B Instruct GGUF	0K / 2.8 GB	190	1
LlaMAndement 13B GGUF	0K / 4.8 GB	213	0

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