What are the hardware requirements for Wernicke 7B V8?

Wernicke 7B V8 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 Wernicke 7B V8 and how large is it?

Wernicke 7B V8 is developed by CultriX, 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 Wernicke 7B V8 perform on standard benchmarks?

Wernicke 7B V8 has the following published scores: MMLU 64.62. Compare against reference models on this page or on the LLM Explorer leaderboards.

Wernicke 7B V8 by CultriX — VRAM 14.4GB, 32K context

Name: Wernicke 7B V8
Author: CultriX

Wernicke 7B V8 is an open-source language model by CultriX. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.11, Arc: 72.4, HellaSwag: 88.7, MMLU: 64.6, GSM8K: 69.4.

Merged Model Base model:kaitchup/mayonnaise... Base model:macadeliccc/westlak... Base model:petrogpt/westseveru... Base model:vanillaovo/supermar... Endpoints compatible Felixchao/westseverus-7b-dpo-v... Kaitchup/mayonnaise-4in1-022 Macadeliccc/westlake-7b-v2-las... Mistral Region:us Safetensors Sharded Tensorflow Vanillaovo/supermario v2

Model Card on HF 🤗: https://huggingface.co/CultriX/Wernicke-7B-v8

Wernicke 7B V8 Parameters and Internals

Additional Notes

Wernicke-7B-v8 is a merged model using LazyMergekit from the following models: - kaitchup/Mayonnaise-4in1-022 - macadeliccc/WestLake-7B-v2-laser-truthy-dpo - vanillaOVO/supermario_v2 - FelixChao/WestSeverus-7B-DPO-v2

LLM Name	Wernicke 7B V8
Repository 🤗	https://huggingface.co/CultriX/Wernicke-7B-v8
Base Model(s)	Mayonnaise 4in1 022 ...estLake 7B V2 Laser Truthy DPO Supermario V2 FelixChao/WestSeverus-7B-DPO-v2 kaitchup/Mayonnaise-4in1-022 macadeliccc/WestLake-7B-v2-laser-truthy-dpo vanillaOVO/supermario_v2 FelixChao/WestSeverus-7B-DPO-v2
Merged Model	Yes
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-10-14
Maintainer	CultriX
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.1
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Wernicke 7B V8 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

Best Alternatives to Wernicke 7B V8

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	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	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 CultriX/Wernicke-7B-v8.