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

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

Pastiche Crown Clown 7B Dare DPO 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 DPO perform on standard benchmarks?

Pastiche Crown Clown 7B Dare DPO has the following published scores: MMLU 64.51. Compare against reference models on this page or on the LLM Explorer leaderboards.

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

Name: Pastiche Crown Clown 7B Dare DPO
Author: CorticalStack

Pastiche Crown Clown 7B Dare DPO is an open-source language model by CorticalStack. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.12, Arc: 72.8, HellaSwag: 89.2, MMLU: 64.5, GSM8K: 68.9.

Base model:corticalstack/pasti... Base model:finetune:corticalst... Dpo Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

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

Pastiche Crown Clown 7B Dare DPO Parameters and Internals

Training Details

Data Sources:

jondurbin/truthy-dpo-v0.1

Methodology:

DPO fine-tuning

Model Architecture:

LoRA with r: 16, LoRA alpha: 16, LoRA dropout: 0.05

LLM Name	Pastiche Crown Clown 7B Dare DPO
Repository 🤗	https://huggingface.co/CorticalStack/pastiche-crown-clown-7b-dare-dpo
Base Model(s)	Pastiche Crown Clown 7B Dare CorticalStack/pastiche-crown-clown-7b-dare
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-08-25
Maintainer	CorticalStack
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	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Pastiche Crown Clown 7B Dare 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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...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
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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-dpo.