What are the hardware requirements for NeuralPipe 9B Merged GGUF?

NeuralPipe 9B Merged GGUF requires approximately 3.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed NeuralPipe 9B Merged GGUF and how large is it?

NeuralPipe 9B Merged GGUF is developed by TheBloke, a model with 9b 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 NeuralPipe 9B Merged GGUF?

NeuralPipe 9B Merged GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

NeuralPipe 9B Merged GGUF by TheBloke — VRAM 3.8GB

Name: NeuralPipe 9B Merged GGUF
Author: TheBloke

NeuralPipe 9B Merged GGUF is an open-source language model by TheBloke. Features: 9b LLM, VRAM: 3.8GB, License: apache-2.0, Quantized, Merged, LLM Explorer Score: 0.1.

Merged Model Base model:mlabonne/neuralpipe... Base model:quantized:mlabonne/... Conversational Gguf Mistral Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/NeuralPipe-9B-merged-GGUF

NeuralPipe 9B Merged GGUF Parameters and Internals

Model Type

mistral

Training Details

Methodology:

Merge of OpenPipe/mistral-ft-optimized-1218 and mlabonne/NeuralHermes-2.5-Mistral-7B using mergekit

Input Output

Input Format:

{prompt}

LLM Name	NeuralPipe 9B Merged GGUF
Repository 🤗	https://huggingface.co/TheBloke/NeuralPipe-9B-merged-GGUF
Model Name	NeuralPipe 9B Merged
Model Creator	Maxime Labonne
Base Model(s)	NeuralPipe 9B Merged mlabonne/NeuralPipe-9B-merged
Merged Model	Yes
Model Size	9b
Required VRAM	3.8 GB
Updated	2026-05-27
Maintainer	TheBloke
Model Type	mistral
Model Files	3.8 GB 4.7 GB 4.3 GB 3.9 GB 5.1 GB 5.4 GB 5.1 GB 6.2 GB 6.4 GB 6.2 GB 7.4 GB 9.6 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the NeuralPipe 9B Merged 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 NeuralPipe 9B Merged GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Yi 1.5 9B Chat GGUF	0K / 3.4 GB	568	4
...e Dolphin 2.9.1 Yi 1.5 9b GGUF	0K / 5.3 GB	22	0
...n Dolphin 2.9.1 Yi 1.5 9b GGUF	0K / 5.3 GB	41	0
...s Dolphin 2.9.1 Yi 1.5 9b GGUF	0K / 5.3 GB	16	0
Yi Super 9B GGUF	0K / 3.4 GB	488	3
Yi 9B GGUF	0K / 3.4 GB	370	15
Yi 9B 200K GGUF	0K / 3.4 GB	91	5
Yi 9B GGUF	0K / 3.4 GB	193	2
NeuralQuant 9B GGUF	0K / 3.8 GB	125	1
...a 2 9B Chinese Chat Uncensored	0K / 18.6 GB	874	30

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/NeuralPipe-9B-merged-GGUF.