What are the hardware requirements for Starcoderplus Guanaco GPT4 15B V1.0 GPTQ?

Starcoderplus Guanaco GPT4 15B V1.0 GPTQ requires approximately 9.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Starcoderplus Guanaco GPT4 15B V1.0 GPTQ and how large is it?

Starcoderplus Guanaco GPT4 15B V1.0 GPTQ is developed by TheBloke, a model with 15b 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 Starcoderplus Guanaco GPT4 15B V1.0 GPTQ?

Starcoderplus Guanaco GPT4 15B V1.0 GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Starcoderplus Guanaco GPT4 15B V1.0 GPTQ by TheBloke — VRAM 9.2GB

Name: Starcoderplus Guanaco GPT4 15B V1.0 GPTQ
Author: TheBloke

Starcoderplus Guanaco GPT4 15B V1.0 GPTQ is an open-source language model by TheBloke. Features: 15b LLM, VRAM: 9.2GB, License: apache-2.0, Quantized, Code Generating, LLM Explorer Score: 0.08.

4-bit Codegen Dataset:guanaco En Gpt bigcode Gptq Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/Starcoderplus-Guanaco-GPT4-15B-V1.0-GPTQ

Starcoderplus Guanaco GPT4 15B V1.0 GPTQ Parameters and Internals

Model Type

text generation

Use Cases

Areas:

research, commercial applications

Applications:

question-answering, text summarization, essay writing, translation

Primary Use Cases:

English language question-answering systems

Limitations:

Knowledge is up-to-date only until training time., Can produce incorrect or nonsensical responses

Considerations:

Use as a tool to assist in generating text.

Supported Languages

en (Full proficiency)

Training Details

Data Sources:

openassistant-guanaco dataset (re-imagined using GPT-4 answers)

Methodology:

Finetuned using QLORA.

Model Architecture:

Starcoderplus

Input Output

Input Format:

### Human: {prompt} ### Assistant:

Accepted Modalities:

text

Output Format:

text

LLM Name	Starcoderplus Guanaco GPT4 15B V1.0 GPTQ
Repository 🤗	https://huggingface.co/TheBloke/Starcoderplus-Guanaco-GPT4-15B-V1.0-GPTQ
Base Model(s)	LoupGarou/Starcoderplus-Guanaco-GPT4-15B-V1.0 LoupGarou/Starcoderplus-Guanaco-GPT4-15B-V1.0
Model Size	15b
Required VRAM	9.2 GB
Updated	2026-07-12
Maintainer	TheBloke
Model Type	gpt_bigcode
Model Files	9.2 GB
Supported Languages	en
GPTQ Quantization	Yes
Quantization Type	gptq
Generates Code	Yes
Model Architecture	GPTBigCodeForCausalLM
License	apache-2.0
Transformers Version	4.28.1
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	49152
Torch Data Type	float32
Activation Function	gelu

Rank the Starcoderplus Guanaco GPT4 15B 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 Starcoderplus Guanaco GPT4 15B V1.0 GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...ardCoder Guanaco 15B V1.1 GPTQ	0K / 9.2 GB	50	12
...ardCoder Guanaco 15B V1.0 GPTQ	0K / 9.2 GB	57	16
WizardCoder 15B 1.0 GPTQ	0K / 9.2 GB	77	176
Minotaur 15B GPTQ	0K / 9.2 GB	6	8
Minotaur 15B 8bit	0K / 16.5 GB	8	0
WizardCoder 15B V1.0 8bit	0K / 16.5 GB	3	1
Starcoder 15b 8bit	0K / GB	17	4
Starcoder 15b 8bit	0K / GB	11	4
Starcoder 15b 4bit	0K / GB	12	2
Starcoder 15b 4bit	0K / GB	10	2

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Starcoderplus-Guanaco-GPT4-15B-V1.0-GPTQ.