What are the hardware requirements for K Oss 9 Mini?

K Oss 9 Mini requires approximately 16.4 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 K Oss 9 Mini and how large is it?

K Oss 9 Mini is developed by K-Ai-Official, a model with 8b 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 K Oss 9 Mini?

K Oss 9 Mini is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

K Oss 9 Mini by K-Ai-Official — VRAM 16.4GB, 32K context

Name: K Oss 9 Mini
Author: K-Ai-Official

K Oss 9 Mini is an open-source language model by K-Ai-Official. Features: 8b LLM, VRAM: 16.4GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.35.

4bit Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-8b-ba... Conversational Dataset:freedomintelligence/al... Dataset:freedomintelligence/al... Dataset:k-ai-official/kai synt... Dataset:k-ai-official/kai v2 Dataset:yahma/alpaca-cleaned En Endpoints compatible Id Ja Quantized Qwen3 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/K-Ai-Official/K-Oss-9-Mini

K Oss 9 Mini Parameters and Internals

LLM Name	K Oss 9 Mini
Repository 🤗	https://huggingface.co/K-Ai-Official/K-Oss-9-Mini
Base Model(s)	Qwen3 8B Base Unsloth Bnb 4bit unsloth/Qwen3-8B-Base-unsloth-bnb-4bit
Model Size	8b
Required VRAM	16.4 GB
Updated	2026-11-10
Maintainer	K-Ai-Official
Model Type	qwen3
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 1.6 GB: 4-of-4
Supported Languages	en ja id
Quantization Type	4bit
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the K Oss 9 Mini 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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...0528 Qwen3 8B Unsloth Bnb 4bit	128K / 16.4 GB	7	0
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