What are the hardware requirements for SeverusWestLake 7B DPO?

SeverusWestLake 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 SeverusWestLake 7B DPO and how large is it?

SeverusWestLake 7B DPO is developed by s3nh, 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 SeverusWestLake 7B DPO perform on standard benchmarks?

SeverusWestLake 7B DPO has the following published scores: MMLU 64.65. Compare against reference models on this page or on the LLM Explorer leaderboards.

SeverusWestLake 7B DPO by s3nh — VRAM 14.4GB, 32K context

Name: SeverusWestLake 7B DPO
Author: s3nh

SeverusWestLake 7B DPO is an open-source language model by s3nh. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: mit, Merged, LLM Explorer Score: 0.11, Arc: 72.2, HellaSwag: 88.9, MMLU: 64.7, GSM8K: 69.1.

Merged Model Base model:felixchao/sectumsem... Base model:quixiai/westlake-7b... Endpoints compatible Mistral Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/s3nh/SeverusWestLake-7B-DPO

SeverusWestLake 7B DPO Parameters and Internals

Model Type

text-generation

Additional Notes

This model was created using mergekit with the SLERP merge method. It involves two base models: FelixChao/Sectumsempra-7B-DPO and cognitivecomputations/WestLake-7B-v2-laser, using specific parameters and layer configuration.

LLM Name	SeverusWestLake 7B DPO
Repository 🤗	https://huggingface.co/s3nh/SeverusWestLake-7B-DPO
Base Model(s)	Sectumsempra 7B DPO WestLake 7B V2 Laser FelixChao/Sectumsempra-7B-DPO cognitivecomputations/WestLake-7B-v2-laser
Merged Model	Yes
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-11
Maintainer	s3nh
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2
Model Architecture	MistralForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the SeverusWestLake 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

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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 s3nh/SeverusWestLake-7B-DPO.