What are the hardware requirements for Yejin Korean 3B V2 Sft?

Yejin Korean 3B V2 Sft requires approximately 6.1 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 Yejin Korean 3B V2 Sft and how large is it?

Yejin Korean 3B V2 Sft is developed by cooler8, a model with 3b 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 Yejin Korean 3B V2 Sft?

Yejin Korean 3B V2 Sft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Yejin Korean 3B V2 Sft by cooler8 — VRAM 6.1GB, 4K context

Name: Yejin Korean 3B V2 Sft
Author: cooler8

Yejin Korean 3B V2 Sft is an open-source language model by cooler8. Features: 3b LLM, VRAM: 6.1GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.3.

Conversational Fsdp Ko Korean Qwen3 Region:us Safetensors Sft Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/cooler8/yejin-korean-3b-v2-sft

Yejin Korean 3B V2 Sft Parameters and Internals

LLM Name	Yejin Korean 3B V2 Sft
Repository 🤗	https://huggingface.co/cooler8/yejin-korean-3b-v2-sft
Model Size	3b
Required VRAM	6.1 GB
Updated	2026-09-16
Maintainer	cooler8
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 1.1 GB: 2-of-2
Supported Languages	ko
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.57.6
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	64000

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Instruction Following and Task Automation
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Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

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