What are the hardware requirements for WizardCoder Python 13B V1.0 GPTQ?

WizardCoder Python 13B V1.0 GPTQ requires approximately 7.3 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 WizardCoder Python 13B V1.0 GPTQ and how large is it?

WizardCoder Python 13B V1.0 GPTQ 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 WizardCoder Python 13B V1.0 GPTQ?

WizardCoder Python 13B V1.0 GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

WizardCoder Python 13B V1.0 GPTQ by TheBloke — VRAM 7.3GB, 16K context

Name: WizardCoder Python 13B V1.0 GPTQ
Author: TheBloke

WizardCoder Python 13B V1.0 GPTQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.3GB, Context: 16K, License: llama2, Quantized, Code Generating, LLM Explorer Score: 0.09.

Arxiv:2303.08774 Arxiv:2304.12244 Arxiv:2306.08568 Arxiv:2308.09583 4-bit Base model:quantized:wizardlmt... Base model:wizardlmteam/wizard... Code Codegen Gptq Llama Model-index Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/WizardCoder-Python-13B-V1.0-GPTQ

WizardCoder Python 13B V1.0 GPTQ Parameters and Internals

Model Type

text-generation

Additional Notes

Various quantization options available for different hardware and performance needs.

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

Output Format:

text

LLM Name	WizardCoder Python 13B V1.0 GPTQ
Repository 🤗	https://huggingface.co/TheBloke/WizardCoder-Python-13B-V1.0-GPTQ
Model Creator	WizardLM
Base Model(s)	WizardLM/WizardCoder-Python-13B-V1.0 WizardLM/WizardCoder-Python-13B-V1.0
Model Size	13b
Required VRAM	7.3 GB
Updated	2026-08-03
Maintainer	TheBloke
Model Type	llama
Model Files	7.3 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	16384
Model Max Length	16384
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32001
Torch Data Type	float16

Rank the WizardCoder Python 13B V1.0 GPTQ 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 Python 13B V1.0 GPTQ

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NexusRaven 13B GPTQ	16K / 7.3 GB	35	7
CodeLlama 13B GPTQ ERP	16K / 7 GB	4	3
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CodeLlama 13B Instruct GPTQ	16K / 7.3 GB	75	39
...deLlama 13B Oasst Sft V10 GPTQ	16K / 7.3 GB	43	13
CodeLlama 13B GPTQ	16K / 7.3 GB	62	12
CodeLlama 13B Python GPTQ	16K / 7.3 GB	19	20
WhiteRabbitNeo 13B V1	16K / 26 GB	3146	453
CodeLlama 13B Python Fp16	16K / 26 GB	121	25
CodeLlama 13B Fp16	16K / 26 GB	9	67

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/WizardCoder-Python-13B-V1.0-GPTQ.