What are the hardware requirements for MistralCreative 24B ModelStock Test?

MistralCreative 24B ModelStock Test requires approximately 95.3 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 MistralCreative 24B ModelStock Test and how large is it?

MistralCreative 24B ModelStock Test is developed by Sorawiz, a model with 24b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate MistralCreative 24B ModelStock Test?

MistralCreative 24B ModelStock Test is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MistralCreative 24B ModelStock Test by Sorawiz — VRAM 95.3GB, 32K context

Name: MistralCreative 24B ModelStock Test
Author: Sorawiz

MistralCreative 24B ModelStock Test is an open-source language model by Sorawiz. Features: 24b LLM, VRAM: 95.3GB, Context: 32K, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2403.19522 Autotrain compatible Base model:gryphe/pantheon-rp-... Base model:readyart/forgotten-... Base model:sorawiz/mistralsmal... Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Sorawiz/MistralCreative-24B-ModelStock-Test

MistralCreative 24B ModelStock Test Parameters and Internals

LLM Name	MistralCreative 24B ModelStock Test
Repository 🤗	https://huggingface.co/Sorawiz/MistralCreative-24B-ModelStock-Test
Base Model(s)	ReadyArt/Forgotten-Safeword-24B-v4.0 Gryphe/Pantheon-RP-1.8-24b-Small-3.1 MistralSmall Creative 24B ReadyArt/Forgotten-Safeword-24B-v4.0 Gryphe/Pantheon-RP-1.8-24b-Small-3.1 Sorawiz/MistralSmall-Creative-24B
Merged Model	Yes
Model Size	24b
Required VRAM	95.3 GB
Updated	2025-03-20
Maintainer	Sorawiz
Model Type	mistral
Model Files	2.7 GB: 1-of-22 4.9 GB: 2-of-22 4.5 GB: 3-of-22 4.5 GB: 4-of-22 4.5 GB: 5-of-22 4.5 GB: 6-of-22 4.5 GB: 7-of-22 4.5 GB: 8-of-22 4.5 GB: 9-of-22 4.5 GB: 10-of-22 4.5 GB: 11-of-22 4.5 GB: 12-of-22 4.5 GB: 13-of-22 4.5 GB: 14-of-22 4.5 GB: 15-of-22 4.5 GB: 16-of-22 4.5 GB: 17-of-22 4.5 GB: 18-of-22 4.5 GB: 19-of-22 4.5 GB: 20-of-22 4.5 GB: 21-of-22 2.2 GB: 22-of-22
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	LlamaTokenizerFast
Padding Token	</s>
Vocabulary Size	131074
Torch Data Type	float32

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Note: green Score (e.g. "73.2") means that the model is better than Sorawiz/MistralCreative-24B-ModelStock-Test.