What are the hardware requirements for Unee 0.8B?

Unee 0.8B requires approximately 1.5 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Unee 0.8B and how large is it?

Unee 0.8B is developed by uneeverse, a model with 0.8b 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 Unee 0.8B?

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

Unee 0.8B by uneeverse — VRAM 1.5GB, 256K context

Name: Unee 0.8B
Author: uneeverse

Unee 0.8B is an open-source language model by uneeverse. Features: 0.8b LLM, VRAM: 1.5GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.31.

Af Ar Az Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-0.8b Bn Chatbot Classification Conversational Da De Decision-model El En Endpoints compatible Es Fa Fi Fr Gguf He Hi Hy Id Is It Ja Jev-compatible Kn Ko Lv Ml Ms Multilingual My Nb Nl On-device Onnx Pl Pt Qwen3 5 text Rag Region:us Ro Ru Safetensors Sl Sv Ta Te Th Tr Transformers.js Unee Uneeverse Ur Vi Webgpu Zh

Model Card on HF 🤗: https://huggingface.co/uneeverse/unee-0.8b

Unee 0.8B Parameters and Internals

LLM Name	Unee 0.8B
Repository 🤗	https://huggingface.co/uneeverse/unee-0.8b
Base Model(s)	Qwen/Qwen3.5-0.8B Qwen/Qwen3.5-0.8B
Model Size	0.8b
Required VRAM	1.5 GB
Updated	2026-10-11
Maintainer	uneeverse
Model Type	qwen3_5_text
Model Files	1.5 GB
Supported Languages	af ar az bn da de el en es fa fi fr he hi hy id is it ja kn ko lv ml ms my nb nl pl pt ro ru sl sv ta te th tr ur vi zh
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.18.0
Tokenizer Class	Qwen3_5Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

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

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