What are the hardware requirements for MoeinGTS1.5 1.5B?

MoeinGTS1.5 1.5B requires approximately 1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MoeinGTS1.5 1.5B and how large is it?

MoeinGTS1.5 1.5B is developed by arshiysohrevardi, 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 MoeinGTS1.5 1.5B?

MoeinGTS1.5 1.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MoeinGTS1.5 1.5B by arshiysohrevardi — VRAM 1GB

Name: MoeinGTS1.5 1.5B
Author: arshiysohrevardi

MoeinGTS1.5 1.5B is an open-source language model by arshiysohrevardi. Features: 1.5b LLM, VRAM: 1GB, Quantized, Instruction-Based.

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

Model Card on HF 🤗: https://huggingface.co/arshiysohrevardi/moeinGTS1.5-1.5b

MoeinGTS1.5 1.5B Parameters and Internals

LLM Name	MoeinGTS1.5 1.5B
Repository 🤗	https://huggingface.co/arshiysohrevardi/moeinGTS1.5-1.5b
Base Model(s)	Qwen/Qwen2.5-1.5B-Instruct Qwen/Qwen2.5-1.5B-Instruct
Model Size	1.5b
Required VRAM	1 GB
Updated	2026-08-09
Maintainer	arshiysohrevardi
Instruction-Based	Yes
Model Files	0.0 GB 1.0 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
Model Max Length	131072
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|im_end\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|v_proj
LoRA Alpha	16
LoRA Dropout	0.05
R Param	8
Errors	replace

Rank the MoeinGTS1.5 1.5B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to MoeinGTS1.5 1.5B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2 1.5B Instruct GGUF	0K / 0.4 GB	346	8
Jenna V3 Qwen2 1.5 GGUF Q4	0K / 1 GB	29	0
Jenna V3 Qwen2 1.5 GGUF	0K / 3.1 GB	24	1
...wen2.5 Coder 1.5B Instruct SFT	0K / 0 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than arshiysohrevardi/moeinGTS1.5-1.5b.