What are the hardware requirements for DPO Binarized NeuralTrix 7B?

DPO Binarized NeuralTrix 7B 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 DPO Binarized NeuralTrix 7B and how large is it?

DPO Binarized NeuralTrix 7B is developed by eren23, 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 DPO Binarized NeuralTrix 7B perform on standard benchmarks?

DPO Binarized NeuralTrix 7B has the following published scores: MMLU 64.09. Compare against reference models on this page or on the LLM Explorer leaderboards.

DPO Binarized NeuralTrix 7B by eren23 — VRAM 14.4GB, 32K context

Name: DPO Binarized NeuralTrix 7B
Author: eren23

DPO Binarized NeuralTrix 7B is an open-source language model by eren23. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.12, Arc: 72.4, HellaSwag: 88.9, MMLU: 64.1, GSM8K: 68.

Conversation Cultrix/neuraltrix-7b-dpo Dataset:argilla/openhermes2.5-... Dpo En Endpoints compatible Merge Mistral Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/eren23/dpo-binarized-NeuralTrix-7B

DPO Binarized NeuralTrix 7B Parameters and Internals

Model Type

text generation

Additional Notes

DPO finetuned using argilla/OpenHermes2.5-dpo-binarized-alpha.

LLM Name	DPO Binarized NeuralTrix 7B
Repository 🤗	https://huggingface.co/eren23/dpo-binarized-NeuralTrix-7B
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-05-08
Maintainer	eren23
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the DPO Binarized NeuralTrix 7B 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

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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 eren23/dpo-binarized-NeuralTrix-7B.