What are the hardware requirements for Zephyr Orpo 141B A35b V0.1 GGUF?

Zephyr Orpo 141B A35b V0.1 GGUF requires approximately 4.8 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Zephyr Orpo 141B A35b V0.1 GGUF and how large is it?

Zephyr Orpo 141B A35b V0.1 GGUF is developed by bartowski, a model with 141b 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 Zephyr Orpo 141B A35b V0.1 GGUF?

Zephyr Orpo 141B A35b V0.1 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Zephyr Orpo 141B A35b V0.1 GGUF by bartowski — VRAM 4.8GB, 64K context

Name: Zephyr Orpo 141B A35b V0.1 GGUF
Author: bartowski

Zephyr Orpo 141B A35b V0.1 GGUF is an open-source language model by bartowski. Features: 141b LLM, VRAM: 4.8GB, Context: 64K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.13.

Base model:mistral-community/m... Base model:quantized:mistral-c... Conversational Dataset:argilla/distilabel-cap... Endpoints compatible Generated from trainer Gguf Mixtral Moe Orpo Q2 Quantized Region:us Trl

Model Card on HF 🤗: https://huggingface.co/bartowski/zephyr-orpo-141b-A35b-v0.1-GGUF

Zephyr Orpo 141B A35b V0.1 GGUF Parameters and Internals

LLM Name	Zephyr Orpo 141B A35b V0.1 GGUF
Repository 🤗	https://huggingface.co/bartowski/zephyr-orpo-141b-A35b-v0.1-GGUF
Base Model(s)	mistral-community/Mixtral-8x22B-v0.1 mistral-community/Mixtral-8x22B-v0.1
Model Size	141b
Required VRAM	4.8 GB
Updated	2026-08-06
Maintainer	bartowski
Model Type	mixtral
Model Files	14.9 GB: 1-of-5 15.0 GB: 2-of-5 13.6 GB: 3-of-5 14.8 GB: 4-of-5 6.2 GB: 5-of-5 14.0 GB: 1-of-5 14.5 GB: 2-of-5 13.2 GB: 3-of-5 14.2 GB: 4-of-5 5.6 GB: 5-of-5 13.5 GB: 1-of-5 13.5 GB: 2-of-5 12.3 GB: 3-of-5 13.3 GB: 4-of-5 5.6 GB: 5-of-5 18.8 GB: 1-of-5 18.9 GB: 2-of-5 17.1 GB: 3-of-5 18.4 GB: 4-of-5 7.2 GB: 5-of-5 18.0 GB: 1-of-5 17.8 GB: 2-of-5 16.2 GB: 3-of-5 17.4 GB: 4-of-5 6.9 GB: 5-of-5 11.8 GB: 1-of-5 12.3 GB: 2-of-5 11.2 GB: 3-of-5 12.0 GB: 4-of-5 4.8 GB: 5-of-5 16.5 GB: 1-of-5 17.1 GB: 2-of-5 15.6 GB: 3-of-5 16.8 GB: 4-of-5 6.6 GB: 5-of-5 15.7 GB: 1-of-5 15.9 GB: 2-of-5 14.5 GB: 3-of-5 15.6 GB: 4-of-5 6.2 GB: 5-of-5 14.0 GB: 1-of-5 14.5 GB: 2-of-5 13.2 GB: 3-of-5 14.2 GB: 4-of-5 5.6 GB: 5-of-5 20.0 GB: 1-of-5 19.7 GB: 2-of-5
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k
Model Architecture	MixtralForCausalLM
License	apache-2.0
Context Length	65536
Model Max Length	65536
Transformers Version	4.39.3
Vocabulary Size	32000
Torch Data Type	bfloat16

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