What are the hardware requirements for Pastiche Crown Clown 7B Dare?

Pastiche Crown Clown 7B Dare 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 Pastiche Crown Clown 7B Dare and how large is it?

Pastiche Crown Clown 7B Dare is developed by CorticalStack, 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 Pastiche Crown Clown 7B Dare perform on standard benchmarks?

Pastiche Crown Clown 7B Dare has the following published scores: MMLU 64.65. Compare against reference models on this page or on the LLM Explorer leaderboards.

Pastiche Crown Clown 7B Dare by CorticalStack — VRAM 14.4GB, 32K context

Name: Pastiche Crown Clown 7B Dare
Author: CorticalStack

Pastiche Crown Clown 7B Dare is an open-source language model by CorticalStack. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.12, Arc: 73.8, HellaSwag: 89.1, MMLU: 64.7, GSM8K: 69.8.

Merged Model Arxiv:2311.03099 Bardsai/jaskier-7b-dpo-v5.6 Endpoints compatible Macadeliccc/mbx-7b-v3-dpo Mistral Mlabonne/alphamonarch-7b Mlabonne/neuralmonarch-7b Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/CorticalStack/pastiche-crown-clown-7b-dare

Pastiche Crown Clown 7B Dare Parameters and Internals

Additional Notes

DARE merge of multiple models using mergekit.

LLM Name	Pastiche Crown Clown 7B Dare
Repository 🤗	https://huggingface.co/CorticalStack/pastiche-crown-clown-7b-dare
Merged Model	Yes
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-08-25
Maintainer	CorticalStack
Model Type	mistral
Model Files	2.0 GB: 1-of-8 1.9 GB: 2-of-8 2.0 GB: 3-of-8 2.0 GB: 4-of-8 1.9 GB: 5-of-8 1.9 GB: 6-of-8 1.9 GB: 7-of-8 0.8 GB: 8-of-8
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.1
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Pastiche Crown Clown 7B Dare 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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...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 CorticalStack/pastiche-crown-clown-7b-dare.