What are the hardware requirements for NeuralPipe 9B Merged?

NeuralPipe 9B Merged requires approximately 17.9 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

NeuralPipe 9B Merged is developed by mlabonne, 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?

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

NeuralPipe 9B Merged by mlabonne — VRAM 17.9GB, 32K context

Name: NeuralPipe 9B Merged
Author: mlabonne

NeuralPipe 9B Merged is an open-source language model by mlabonne. Features: 9b LLM, VRAM: 17.9GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.1.

Conversational Endpoints compatible Merge Mergekit Mistral Region:us Safetensors Sharded Tensorflow

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

NeuralPipe 9B Merged Parameters and Internals

Additional Notes

This model was created by merging multiple models using mergekit.

LLM Name	NeuralPipe 9B Merged
Repository 🤗	https://huggingface.co/mlabonne/NeuralPipe-9B-merged
Model Size	9b
Required VRAM	17.9 GB
Updated	2026-05-24
Maintainer	mlabonne
Model Type	mistral
Model Files	9.9 GB: 1-of-2 8.0 GB: 2-of-2
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32002
Torch Data Type	bfloat16

Rank the NeuralPipe 9B Merged 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

Quantized Models of the NeuralPipe 9B Merged

Model	Likes	Downloads	VRAM
NeuralPipe 9B Merged GGUF	2	139	3 GB

Best Alternatives to NeuralPipe 9B Merged

Best Alternatives	Context / RAM	Downloads	Likes
Peagle 9B	32K / 18 GB	12814	0
MetaMath Mistral Pro	32K / 17.9 GB	18	6
Peagle 9B	32K / 18 GB	8203	0
...onarch Neurotic 9B Passthrough	32K / 17.9 GB	82	0
Mistral 9B Instruct	32K / 35.9 GB	7	0
GML Mistral Merged V1	32K / 18 GB	86	1
Garbage 9B	32K / 17.9 GB	72	3
Bepis 9B	32K / 18 GB	100	6
Mistral 9B Instruct V0.2	32K / 17.9 GB	89	3
Notus TheTop 7B Passthrough	32K / 18 GB	5	0

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