What are the hardware requirements for MoeinGTS1.5 3B?

MoeinGTS1.5 3B requires approximately 6.2 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 MoeinGTS1.5 3B and how large is it?

MoeinGTS1.5 3B is developed by ali-arshiya, a model with 3b 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 3B?

MoeinGTS1.5 3B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MoeinGTS1.5 3B by ali-arshiya — VRAM 6.2GB, 32K context

Name: MoeinGTS1.5 3B
Author: ali-arshiya

MoeinGTS1.5 3B is an open-source language model by ali-arshiya. Features: 3b LLM, VRAM: 6.2GB, Context: 32K.

Arxiv:1910.09700 Conversational En Endpoints compatible Fa Pytorch Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ali-arshiya/moeinGTS1.5-3b

MoeinGTS1.5 3B Parameters and Internals

LLM Name	MoeinGTS1.5 3B
Repository 🤗	https://huggingface.co/ali-arshiya/moeinGTS1.5-3b
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-08-17
Maintainer	ali-arshiya
Model Type	qwen2
Model Files	6.2 GB
Supported Languages	fa en
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	5.13.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the MoeinGTS1.5 3B 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

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Note: green Score (e.g. "73.2") means that the model is better than ali-arshiya/moeinGTS1.5-3b.