What are the hardware requirements for DaturaCookie 7B?

DaturaCookie 7B 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 DaturaCookie 7B and how large is it?

DaturaCookie 7B is developed by ResplendentAI, 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 DaturaCookie 7B perform on standard benchmarks?

DaturaCookie 7B has the following published scores: MMLU 64.28. Compare against reference models on this page or on the LLM Explorer leaderboards.

DaturaCookie 7B by ResplendentAI — VRAM 14.4GB, 32K context

Name: DaturaCookie 7B
Author: ResplendentAI

DaturaCookie 7B is an open-source language model by ResplendentAI. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.12, Arc: 71.3, HellaSwag: 88, MMLU: 64.3, GSM8K: 65.3.

Merged Model Autotrain compatible Base model:chaoticneutrals/coo... Base model:quantized:chaoticne... Dataset:grimulkan/theory-of-mi... Dataset:lemonilia/limarp Dataset:pygmalionai/pippa Dataset:resplendentai/luna nsf... Dataset:resplendentai/syntheti... Dataset:unalignment/toxic-dpo-... En Endpoints compatible Gguf Mistral Not-for-all-audiences Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ResplendentAI/DaturaCookie_7B

DaturaCookie 7B Parameters and Internals

LLM Name	DaturaCookie 7B
Repository 🤗	https://huggingface.co/ResplendentAI/DaturaCookie_7B
Base Model(s)	Datura 7B Cookie 7B ResplendentAI/Datura_7B ChaoticNeutrals/Cookie_7B
Merged Model	Yes
Model Size	7b
Required VRAM	14.4 GB
Updated	2025-09-23
Maintainer	ResplendentAI
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the DaturaCookie 7B 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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...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 ResplendentAI/DaturaCookie_7B.