What are the hardware requirements for Iz Instruct?

Iz Instruct requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Iz Instruct and how large is it?

Iz Instruct is developed by theplayboy117, 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 Iz Instruct?

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

Iz Instruct by theplayboy117 — VRAM 0.1GB

Name: Iz Instruct
Author: theplayboy117

Iz Instruct is an open-source language model by theplayboy117. Features: 1.5b LLM, VRAM: 0.1GB, Instruction-Based, LLM Explorer Score: 0.3.

Arxiv:1910.09700 Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-1.5b-i... Conversational Endpoints compatible Instruct Lora Peft Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/theplayboy117/iz-instruct

Iz Instruct Parameters and Internals

LLM Name	Iz Instruct
Repository 🤗	https://huggingface.co/theplayboy117/iz-instruct
Base Model(s)	Qwen/Qwen2.5-1.5B-Instruct Qwen/Qwen2.5-1.5B-Instruct
Model Size	1.5b
Required VRAM	0.1 GB
Updated	2026-09-22
Maintainer	theplayboy117
Instruction-Based	Yes
Model Files	0.1 GB 3.1 GB
Model Architecture	AutoModelForCausalLM
Model Max Length	131072
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|im_end\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	up_proj\|down_proj\|k_proj\|gate_proj\|q_proj\|o_proj\|v_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16
Errors	replace

Rank the Iz Instruct capabilities

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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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Qwen25 D2l Merged	0K / 0.1 GB	356	1
AceMath 1.5B Instruct 1epoch	0K / 0.1 GB	7	0
Acemath 200	0K / 0.1 GB	12	0
Qwen First Aid Medium	0K / 1.9 GB	0	0
MeoinGTS1.5 1.5B	0K / 1 GB	147	0