What are the hardware requirements for Horus Taleeq 0.2B Base?

Horus Taleeq 0.2B Base requires approximately 0.4 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 Horus Taleeq 0.2B Base and how large is it?

Horus Taleeq 0.2B Base is developed by tokenaii, a model with 0.2b 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 Horus Taleeq 0.2B Base?

Horus Taleeq 0.2B Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Horus Taleeq 0.2B Base by tokenaii — VRAM 0.4GB, 4K context

Name: Horus Taleeq 0.2B Base
Author: tokenaii

Horus Taleeq 0.2B Base is an open-source language model by tokenaii. Features: 0.2b LLM, VRAM: 0.4GB, Context: 4K, License: mit, LLM Explorer Score: 0.33.

Ar Arabic Arabic-dialects Arabic-language-model Base-model Egyptian-arabic Endpoints compatible Horus Llama Region:us Safetensors Slm Tokenai

Model Card on HF 🤗: https://huggingface.co/tokenaii/Horus-Taleeq-0.2B-Base

Horus Taleeq 0.2B Base Parameters and Internals

LLM Name	Horus Taleeq 0.2B Base
Repository 🤗	https://huggingface.co/tokenaii/Horus-Taleeq-0.2B-Base
Model Size	0.2b
Required VRAM	0.4 GB
Updated	2026-09-23
Maintainer	tokenaii
Model Type	llama
Model Files	0.4 GB
Supported Languages	ar
Model Architecture	LlamaForCausalLM
License	mit
Context Length	4096
Model Max Length	4096
Transformers Version	4.46.3
Tokenizer Class	LlamaTokenizer
Vocabulary Size	128000
Torch Data Type	bfloat16

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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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