What are the hardware requirements for Jplstar?

Jplstar requires approximately 15.2 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 Jplstar and how large is it?

Jplstar is developed by amirhosseinjpl, a model with 7b 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 Jplstar?

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

Jplstar by amirhosseinjpl — VRAM 15.2GB, 32K context

Name: Jplstar
Author: amirhosseinjpl

Jplstar is an open-source language model by amirhosseinjpl. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Instruction-Based.

Abizi Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins... Conversational Dialect Endpoints compatible Fa Instruct Jplstar Lora Persian Qaeni Qwen2 Qwen2.5 Region:us Safetensors Telisk

Model Card on HF 🤗: https://huggingface.co/amirhosseinjpl/jplstar

Jplstar Parameters and Internals

LLM Name	Jplstar
Repository 🤗	https://huggingface.co/amirhosseinjpl/jplstar
Base Model(s)	Qwen/Qwen2.5-7B-Instruct Qwen/Qwen2.5-7B-Instruct
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-09-13
Maintainer	amirhosseinjpl
Model Type	qwen2
Instruction-Based	Yes
Model Files	15.2 GB
Supported Languages	fa
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	152064
Errors	replace

Rank the Jplstar 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 Jplstar

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Rewnozom	986K / 30.5 GB	742	1
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen2.5 7B RRP 1M	986K / 15.2 GB	5	6
Qwen2.5 7B CelestialHarmony 1M	986K / 14.8 GB	8	7
Q2.5 Instruct 1M Harmony	986K / 15.2 GB	4	2
Impish QWEN 7B 1M	986K / 15.2 GB	4	6
COCO 7B Instruct 1M	986K / 15.2 GB	9	4
Apollo 7B	986K / 15.2 GB	8	0
Graph R1 7B	986K / 15.3 GB	7	3

Note: green Score (e.g. "73.2") means that the model is better than amirhosseinjpl/jplstar.