What are the hardware requirements for Rezephyr DPO GGUF?

Rezephyr DPO GGUF requires approximately 5.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Rezephyr DPO GGUF and how large is it?

Rezephyr DPO GGUF is developed by BarraHome. 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 Rezephyr DPO GGUF?

Rezephyr DPO GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Rezephyr DPO GGUF by BarraHome — VRAM 5.9GB

Name: Rezephyr DPO GGUF
Author: BarraHome

Rezephyr DPO GGUF is an open-source language model by BarraHome. Features: LLM, VRAM: 5.9GB, License: apache-2.0, Quantized, Merged, LLM Explorer Score: 0.11.

Merged Model 4bit Base model:barrahome/rezephyr ... Base model:quantized:barrahome... Conversational Dataset:jondurbin/truthy-dpo-v... En Endpoints compatible Gguf Mistral Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/BarraHome/rezephyr-dpo-GGUF

Rezephyr DPO GGUF Parameters and Internals

Model Type

mistral, text-generation-inference, transformers, unsloth, gguf

Additional Notes

This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.

Training Details

Data Sources:

jondurbin/truthy-dpo-v0.1

LLM Name	Rezephyr DPO GGUF
Repository 🤗	https://huggingface.co/BarraHome/rezephyr-dpo-GGUF
Base Model(s)	Rezephyr Merged 4bit BarraHome/rezephyr_merged_4bit
Merged Model	Yes
Required VRAM	5.9 GB
Updated	2026-09-04
Maintainer	BarraHome
Model Type	mistral
Model Files	5.9 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|4bit
Model Architecture	AutoModel
License	apache-2.0

Rank the Rezephyr DPO 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

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Note: green Score (e.g. "73.2") means that the model is better than BarraHome/rezephyr-dpo-GGUF.