What are the hardware requirements for Rudushi 1 1.5B?

Rudushi 1 1.5B requires approximately 3.1 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 Rudushi 1 1.5B and how large is it?

Rudushi 1 1.5B is developed by SheikhMinds, a model with 1.5b 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 Rudushi 1 1.5B?

Rudushi 1 1.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Rudushi 1 1.5B by SheikhMinds — VRAM 3.1GB, 32K context

Name: Rudushi 1 1.5B
Author: SheikhMinds

Rudushi 1 1.5B is an open-source language model by SheikhMinds. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.29.

Bangla Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-1.5b-i... Bengali Bn Chain-of-thought Conversational Dataset:sheikhminds/rudushi-ba... En Endpoints compatible Instruct Lora Qlora Qwen2 Reasoning Region:us Rudushi Safetensors Self-reflection Sft Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/SheikhMinds/rudushi-1-1.5b

Rudushi 1 1.5B Parameters and Internals

LLM Name	Rudushi 1 1.5B
Repository 🤗	https://huggingface.co/SheikhMinds/rudushi-1-1.5b
Base Model(s)	Qwen/Qwen2.5-1.5B-Instruct Qwen/Qwen2.5-1.5B-Instruct
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-11-13
Maintainer	SheikhMinds
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.0 GB: 1-of-4 1.0 GB: 2-of-4 1.0 GB: 3-of-4 0.1 GB: 4-of-4
Supported Languages	bn en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.22.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

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