What are the hardware requirements for Keural Sft 18K?

Keural Sft 18K requires approximately 30.7 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Keural Sft 18K and how large is it?

Keural Sft 18K is developed by mkd-hossain, a model with 15.4b 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 Keural Sft 18K?

Keural Sft 18K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Keural Sft 18K by mkd-hossain — VRAM 30.7GB, 4K context

Name: Keural Sft 18K
Author: mkd-hossain

Keural Sft 18K is an open-source language model by mkd-hossain. Features: 15.4b LLM, VRAM: 30.7GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.23.

Bilingual Conversational Custom code En Keural Ko Korean Mixtral Moe Region:us Safetensors Sft Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mkd-hossain/keural-sft-18k

Keural Sft 18K Parameters and Internals

LLM Name	Keural Sft 18K
Repository 🤗	https://huggingface.co/mkd-hossain/keural-sft-18k
Base Model(s)	mkd-hossain/keural-pretrained mkd-hossain/keural-pretrained
Model Size	15.4b
Required VRAM	30.7 GB
Updated	2026-07-18
Maintainer	mkd-hossain
Model Type	mixtral
Model Files	4.8 GB: 1-of-7 4.8 GB: 2-of-7 4.8 GB: 3-of-7 4.8 GB: 4-of-7 4.8 GB: 5-of-7 4.8 GB: 6-of-7 1.9 GB: 7-of-7
Supported Languages	ko en
Model Architecture	MixtralForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.40.0
Tokenizer Class	LlamaTokenizer
Padding Token	<pad>
Vocabulary Size	131074
Torch Data Type	bfloat16

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
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