What are the hardware requirements for Slimaki 24B V1.2?

Slimaki 24B V1.2 requires approximately 47.3 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Slimaki 24B V1.2 and how large is it?

Slimaki 24B V1.2 is developed by Naphula, 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 Slimaki 24B V1.2?

Slimaki 24B V1.2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Slimaki 24B V1.2 by Naphula — VRAM 47.3GB, 128K context

Name: Slimaki 24B V1.2
Author: Naphula

Slimaki 24B V1.2 is an open-source language model by Naphula. Features: 24b LLM, VRAM: 47.3GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.24.

Arxiv:2406.11617 Base model:anthracite-core/mis... Base model:merge:anthracite-co... Base model:merge:readyart/4.2.... Base model:merge:thedrummer/cy... Base model:merge:thedrummer/ma... Base model:merge:thedrummer/pr... Base model:merge:zerofata/ms3.... Base model:merge:zerofata/ms3.... Base model:readyart/4.2.0-brok... Base model:thedrummer/cydonia-... Base model:thedrummer/magidoni... Base model:thedrummer/precog-2... Base model:zerofata/ms3.2-pain... Base model:zerofata/ms3.2-pain... Conversational Dataset:occultai/illuminati im... En Endpoints compatible Instruct Merge Mergekit Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Naphula/Slimaki-24B-v1.2

Slimaki 24B V1.2 Parameters and Internals

LLM Name	Slimaki 24B V1.2
Repository 🤗	https://huggingface.co/Naphula/Slimaki-24B-v1.2
Base Model(s)	anthracite-core/Mistral-Small-3.2-24B-Instruct-2506-Text-Only TheDrummer/Magidonia-24B-v4.3 Precog 24B V1 zerofata/MS3.2-PaintedFantasy-v3-24B TheDrummer/Cydonia-24B-v4.3 ReadyArt/4.2.0-Broken-Tutu-24b zerofata/MS3.2-PaintedFantasy-v2-24B anthracite-core/Mistral-Small-3.2-24B-Instruct-2506-Text-Only TheDrummer/Magidonia-24B-v4.3 TheDrummer/Precog-24B-v1 zerofata/MS3.2-PaintedFantasy-v3-24B TheDrummer/Cydonia-24B-v4.3 ReadyArt/4.2.0-Broken-Tutu-24b zerofata/MS3.2-PaintedFantasy-v2-24B
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-07-08
Maintainer	Naphula
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-10 4.8 GB: 2-of-10 4.8 GB: 3-of-10 4.9 GB: 4-of-10 4.8 GB: 5-of-10 4.8 GB: 6-of-10 4.9 GB: 7-of-10 4.8 GB: 8-of-10 4.8 GB: 9-of-10 3.8 GB: 10-of-10
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.56.1
Tokenizer Class	LlamaTokenizerFast
Padding Token	<pad>
Vocabulary Size	131076

Rank the Slimaki 24B V1.2 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 Slimaki 24B V1.2

Best Alternatives	Context / RAM	Downloads	Likes
...ral Nemo Instruct 24B Merge V1	1000K / 24.6 GB	9	0
...all 3.1 24B Instruct 2503 Text	128K / 47.3 GB	16	0
Cydonia 24B V4.3	128K / 47.3 GB	3652	138
Neural V1 24B	128K / 47.3 GB	9	3
MS3.2 PaintedFantasy V4.1 24B	128K / 47.3 GB	80	18
Cydonia 24B V4.1	128K / 47.3 GB	2162	80
Slimaki 24B V1	128K / 47.3 GB	15	10
Asmodeus 24B V1	128K / 47.3 GB	36	13
MS3.2 PaintedFantasy V3 24B	128K / 47.3 GB	28	35
Cydonia 24B V4.2.0	128K / 47.3 GB	34	39

Note: green Score (e.g. "73.2") means that the model is better than Naphula/Slimaki-24B-v1.2.