What are the hardware requirements for Nedoqwen 0.8B Base Pretrained?

Nedoqwen 0.8B Base Pretrained requires approximately 1.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nedoqwen 0.8B Base Pretrained and how large is it?

Nedoqwen 0.8B Base Pretrained is developed by Ethosoft, a model with 60b 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 Nedoqwen 0.8B Base Pretrained?

Nedoqwen 0.8B Base Pretrained is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nedoqwen 0.8B Base Pretrained by Ethosoft — VRAM 1.6GB

Name: Nedoqwen 0.8B Base Pretrained
Author: Ethosoft

Nedoqwen 0.8B Base Pretrained is an open-source language model by Ethosoft. Features: 60b LLM, VRAM: 1.6GB, License: apache-2.0, LLM Explorer Score: 0.24.

Base-model Custom-code Dataset:ethosoft/nedo-turkish-... Decoder-only Nedoqwen Pretrained Pytorch Qwen-style Region:us Slm Tr Turkish

Model Card on HF 🤗: https://huggingface.co/Ethosoft/nedoqwen_0.8b_base_pretrained

Nedoqwen 0.8B Base Pretrained Parameters and Internals

LLM Name	Nedoqwen 0.8b Base Pretrained
Repository 🤗	https://huggingface.co/Ethosoft/nedoqwen_0.8b_base_pretrained
Model Size	60b
Required VRAM	1.6 GB
Updated	2026-08-04
Maintainer	Ethosoft
Model Type	nedoqwen
Model Files	1.6 GB
Supported Languages	tr
License	apache-2.0
Vocabulary Size	65536

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Instruction Following and Task Automation
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Text Generation
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Code Generation
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