What are the hardware requirements for NeuralTrix 7B DPO?

NeuralTrix 7B DPO requires approximately 14.4 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 NeuralTrix 7B DPO and how large is it?

NeuralTrix 7B DPO is developed by CultriX, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does NeuralTrix 7B DPO perform on standard benchmarks?

NeuralTrix 7B DPO has the following published scores: MMLU 64.06. Compare against reference models on this page or on the LLM Explorer leaderboards.

NeuralTrix 7B DPO by CultriX — VRAM 14.4GB, 32K context

Name: NeuralTrix 7B DPO
Author: CultriX

NeuralTrix 7B DPO is an open-source language model by CultriX. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.11, Arc: 72.3, HellaSwag: 88.9, MMLU: 64.1, GSM8K: 68.

Aimavenai/aimaven-prometheus Base model:aimavenai/aimaven-p... Base model:flemmingmiguel/mbx-... Base model:merge:aimavenai/aim... Base model:merge:flemmingmigue... Base model:merge:mlabonne/omni... Base model:mlabonne/omnibeagle... Endpoints compatible Flemmingmiguel/mbx-7b-v3 Lazymergekit Merge Mergekit Mistral Mlabonne/omnibeagle-7b Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/CultriX/NeuralTrix-7B-dpo

NeuralTrix 7B DPO Parameters and Internals

Model Type

text-generation

Training Details

Data Sources:

https://huggingface.co/datasets/jondurbin/truthy-dpo-v0.1

Methodology:

Trained with DPO using LazyMergekit.

Input Output

Accepted Modalities:

text

LLM Name	NeuralTrix 7B DPO
Repository 🤗	https://huggingface.co/CultriX/NeuralTrix-7B-dpo
Base Model(s)	OmniBeagle 7B MBX 7B V3 AiMaven Prometheus mlabonne/OmniBeagle-7B flemmingmiguel/MBX-7B-v3 AiMavenAi/AiMaven-Prometheus
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-10-09
Maintainer	CultriX
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the NeuralTrix 7B DPO 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 NeuralTrix 7B DPO

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than CultriX/NeuralTrix-7B-dpo.