What are the hardware requirements for WhiteRabbitNeo 33B V1 AWQ?

WhiteRabbitNeo 33B V1 AWQ requires approximately 18.1 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed WhiteRabbitNeo 33B V1 AWQ and how large is it?

WhiteRabbitNeo 33B V1 AWQ is developed by TheBloke, a model with 33b 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 33B V1 AWQ?

WhiteRabbitNeo 33B V1 AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

WhiteRabbitNeo 33B V1 AWQ by TheBloke — VRAM 18.1GB, 16K context

Name: WhiteRabbitNeo 33B V1 AWQ
Author: TheBloke

WhiteRabbitNeo 33B V1 AWQ is an open-source language model by TheBloke. Features: 33b LLM, VRAM: 18.1GB, Context: 16K, License: other, Quantized, LLM Explorer Score: 0.11.

4-bit 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 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 Name	WhiteRabbitNeo 33B V1 AWQ
Repository 🤗	https://huggingface.co/TheBloke/WhiteRabbitNeo-33B-v1-AWQ
Model Name	WhiteRabbitNeo 33B v1
Model Creator	WhiteRabbitNeo
Base Model(s)	whiterabbitneo/WhiteRabbitNeo-33B-v1 whiterabbitneo/WhiteRabbitNeo-33B-v1
Model Size	33b
Required VRAM	18.1 GB
Updated	2026-07-24
Maintainer	TheBloke
Model Type	deepseek
Model Files	10.0 GB: 1-of-2 8.1 GB: 2-of-2
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	other
Context Length	16384
Model Max Length	16384
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	32256
Torch Data Type	float16

Rank the WhiteRabbitNeo 33B V1 AWQ 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

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