What are the hardware requirements for WizardCoder 33B V1.1 GGUF?

WizardCoder 33B V1.1 GGUF requires approximately 14 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed WizardCoder 33B V1.1 GGUF and how large is it?

WizardCoder 33B V1.1 GGUF 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 WizardCoder 33B V1.1 GGUF?

WizardCoder 33B V1.1 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

WizardCoder 33B V1.1 GGUF by TheBloke — VRAM 14GB

Name: WizardCoder 33B V1.1 GGUF
Author: TheBloke

WizardCoder 33B V1.1 GGUF is an open-source language model by TheBloke. Features: 33b LLM, VRAM: 14GB, Quantized, LLM Explorer Score: 0.11.

Arxiv:2304.12244 Arxiv:2306.08568 Arxiv:2308.09583 Base model:quantized:wizardlmt... Base model:wizardlmteam/wizard... Code Deepseek Gguf Model-index Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/WizardCoder-33B-V1.1-GGUF

WizardCoder 33B V1.1 GGUF Parameters and Internals

Model Type

text-generation

Additional Notes

GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML and is compatible with several clients and libraries.

Input Output

Input Format:

"Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response: "

Accepted Modalities:

text

LLM Name	WizardCoder 33B V1.1 GGUF
Repository 🤗	https://huggingface.co/TheBloke/WizardCoder-33B-V1.1-GGUF
Model Name	Wizardcoder 33B V1.1
Model Creator	WizardLM
Base Model(s)	WizardLM/WizardCoder-33B-V1.1 WizardLM/WizardCoder-33B-V1.1
Model Size	33b
Required VRAM	14 GB
Updated	2026-07-31
Maintainer	TheBloke
Model Type	deepseek
Model Files	14.0 GB 17.6 GB 16.1 GB 14.4 GB 18.8 GB 19.9 GB 18.9 GB 23.0 GB 23.5 GB 23.0 GB 27.4 GB 35.4 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel

Rank the WizardCoder 33B V1.1 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 WizardCoder 33B V1.1 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...epseek Coder 33B Instruct GGUF	0K / 14 GB	15508	196
WhiteRabbitNeo 33B V1 GGUF	0K / 12.3 GB	2404	34
Everyone Coder 33B Base GGUF	0K / 12.4 GB	728	13
Deepseek Coder 33B Base GGUF	0K / 14 GB	3387	9
Code 33B GGUF	0K / 13.5 GB	303	5
Python Code 33B GGUF	0K / 13.5 GB	641	3
Vicuna 33B Coder GGUF	0K / 13.5 GB	462	6
Vicuna 33B GGUF	0K / 13.5 GB	719	16
Chronos 33B GGUF	0K / 13.5 GB	486	2
Airoboros 33B 2.1 GGUF	0K / 13.5 GB	690	14

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/WizardCoder-33B-V1.1-GGUF.