What are the hardware requirements for WestSeverus 7B DPO?

WestSeverus 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 WestSeverus 7B DPO and how large is it?

WestSeverus 7B DPO is developed by PetroGPT, 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 WestSeverus 7B DPO perform on standard benchmarks?

WestSeverus 7B DPO has the following published scores: MMLU 64.93. Compare against reference models on this page or on the LLM Explorer leaderboards.

WestSeverus 7B DPO by PetroGPT — VRAM 14.4GB, 32K context

Name: WestSeverus 7B DPO
Author: PetroGPT

WestSeverus 7B DPO is an open-source language model by PetroGPT. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.12, Arc: 70.7, HellaSwag: 88, MMLU: 64.9, GSM8K: 73.3.

Arxiv:1910.09700 Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/PetroGPT/WestSeverus-7B-DPO

WestSeverus 7B DPO Benchmarks

ARC: 70.73 vs 96.7 (so35)^-26.9%

HellaSwag: 88.01 vs 95.3 (gpt4)^-7.6%

MMLU: 64.93 vs 88.3 (so35)^-26.5%

GSM8K: 73.31 vs 96.4 (so35)^-24%

LLME Score: 0.12079

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

WestSeverus 7B DPO (PetroGPT/WestSeverus-7B-DPO)

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WestSeverus 7B DPO Parameters and Internals

LLM Name	WestSeverus 7B DPO
Repository 🤗	https://huggingface.co/PetroGPT/WestSeverus-7B-DPO
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-05-01
Maintainer	PetroGPT
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	4.35.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Quantized Models of the WestSeverus 7B DPO

Model	Likes	Downloads	VRAM
WestSeverus 7B DPO GGUF	4	245	2 GB
WestSeverus 7B DPO GPTQ	2	10	4 GB
WestSeverus 7B DPO AWQ	2	7	4 GB

Best Alternatives to WestSeverus 7B DPO

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	254	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8623	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	24	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	8131	17
Hebrew Mistral 7B 200K	256K / 30 GB	1378	15
Astral 256K 7B V2	250K / 14.4 GB	5	0
Astral 256K 7B	250K / 14.4 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than PetroGPT/WestSeverus-7B-DPO.

Rank the WestSeverus 7B DPO Capabilities

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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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WestSeverus 7B DPO by PetroGPT