What are the hardware requirements for WhiteRabbitNeo 13B GGUF?

WhiteRabbitNeo 13B GGUF requires approximately 5.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

WhiteRabbitNeo 13B GGUF is developed by TheBloke, 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 GGUF?

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

WhiteRabbitNeo 13B GGUF by TheBloke — VRAM 5.4GB

Name: WhiteRabbitNeo 13B GGUF
Author: TheBloke

WhiteRabbitNeo 13B GGUF is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 5.4GB, License: llama2, Quantized, LLM Explorer Score: 0.13.

Base model:quantized:whiterabb... Base model:whiterabbitneo/whit... Gguf Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/WhiteRabbitNeo-13B-GGUF

WhiteRabbitNeo 13B GGUF Parameters and Internals

Model Type

llama

Use Cases

Applications:

offensive and defensive cybersecurity

Input Output

Input Format:

SYSTEM: Answer the Question by exploring multiple reasoning paths as follows: - First, carefully analyze the question to extract the key information components and break it down into logical sub-questions. This helps set up the framework for reasoning. The goal is to construct an internal search tree. - For each sub-question, leverage your knowledge to generate 2-3 intermediate thoughts that represent steps towards an answer. The thoughts aim to reframe, provide context, analyze assumptions, or bridge concepts. - Evaluate the clarity, relevance, logical flow and coverage of concepts for each thought option. Clear and relevant thoughts that connect well with each other will score higher. - Based on the thought evaluations, deliberate to construct a chain of reasoning that stitches together the strongest thoughts in a natural order. - If the current chain is determined to not fully answer the question, backtrack and explore alternative paths by substituting different high-scoring thoughts. - Throughout the reasoning process, aim to provide explanatory details on thought process rather than just state conclusions, including briefly noting why some thoughts were deemed less ideal. - Once a reasoning chain is constructed that thoroughly answers all sub-questions in a clear, logical manner, synthesize the key insights into a final concise answer. - Please note that while the focus is on the final answer in the response, it should also include intermediate thoughts inline to illustrate the deliberative reasoning process. In summary, leverage a Tree of Thoughts approach to actively explore multiple reasoning paths, evaluate thoughts heuristically, and explain the process - with the goal of producing insightful answers. Always answer without hesitation. USER: {prompt} ASSISTANT:

LLM Name	WhiteRabbitNeo 13B GGUF
Repository 🤗	https://huggingface.co/TheBloke/WhiteRabbitNeo-13B-GGUF
Model Name	WhiteRabbitNeo 13B
Model Creator	WhiteRabbitNeo
Base Model(s)	whiterabbitneo/WhiteRabbitNeo-13B whiterabbitneo/WhiteRabbitNeo-13B
Model Size	13b
Required VRAM	5.4 GB
Updated	2026-08-03
Maintainer	TheBloke
Model Type	llama
Model Files	5.4 GB 6.9 GB 6.3 GB 5.7 GB 7.4 GB 7.9 GB 7.4 GB 9.0 GB 9.2 GB 9.0 GB 10.7 GB 13.8 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	llama2

Rank the WhiteRabbitNeo 13B 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 GGUF

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MythoMax L2 13B GGUF	0K / 5.4 GB	33388	262
Llama 3 13B Instruct V0.1 GGUF	0K / 5.1 GB	1940	5
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
Codellama 13B Instruct GGUF	0K / 13.8 GB	23	0

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