What are the hardware requirements for Ko Morph Qwen2.5 0.5B Cpt?

Ko Morph Qwen2.5 0.5B Cpt requires approximately 0.8 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 Ko Morph Qwen2.5 0.5B Cpt and how large is it?

Ko Morph Qwen2.5 0.5B Cpt is developed by wwwcomcom, a model with 0.5b 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 Ko Morph Qwen2.5 0.5B Cpt?

Ko Morph Qwen2.5 0.5B Cpt is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ko Morph Qwen2.5 0.5B Cpt by wwwcomcom — VRAM 0.8GB, 32K context

Name: Ko Morph Qwen2.5 0.5B Cpt
Author: wwwcomcom

Ko Morph Qwen2.5 0.5B Cpt is an open-source language model by wwwcomcom. Features: 0.5b LLM, VRAM: 0.8GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.3.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b Ko Korean Morpheme-tokenizer Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/wwwcomcom/ko-morph-qwen2.5-0.5b-cpt

Ko Morph Qwen2.5 0.5B Cpt Parameters and Internals

LLM Name	Ko Morph Qwen2.5 0.5B Cpt
Repository 🤗	https://huggingface.co/wwwcomcom/ko-morph-qwen2.5-0.5b-cpt
Base Model(s)	Qwen/Qwen2.5-0.5B Qwen/Qwen2.5-0.5B
Model Size	0.5b
Required VRAM	0.8 GB
Updated	2026-09-17
Maintainer	wwwcomcom
Model Type	qwen2
Model Files	0.8 GB
Supported Languages	ko
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.6
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	32000

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Instruction Following and Task Automation
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