What are the hardware requirements for Imajev 2B?

Imajev 2B requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Imajev 2B and how large is it?

Imajev 2B is developed by mohit67890, a model with 2b 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 Imajev 2B?

Imajev 2B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Imajev 2B by mohit67890 — VRAM 0.1GB

Name: Imajev 2B
Author: mohit67890

Imajev 2B is an open-source language model by mohit67890. Features: 2b LLM, VRAM: 0.1GB, License: apache-2.0, LLM Explorer Score: 0.29.

Adapter Base model:adapter:qwen/qwen3.... Base model:qwen/qwen3.5-2b Calibrated-probabilities Decision-model En Finetuned Image-text-to-text Jev Lora Mlx Peft Region:us Safetensors Typed-decisions Vision Vision-language

Model Card on HF 🤗: https://huggingface.co/mohit67890/imajev-2b

Imajev 2B Parameters and Internals

LLM Name	Imajev 2B
Repository 🤗	https://huggingface.co/mohit67890/imajev-2b
Base Model(s)	Qwen/Qwen3.5-2B Qwen/Qwen3.5-2B
Model Size	2b
Required VRAM	0.1 GB
Updated	2026-09-27
Maintainer	mohit67890
Model Files	0.1 GB 0.0 GB
Supported Languages	en
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	.\|\|l\|a\|n\|g\|u\|a\|g\|e\|_\|m\|o\|d\|e\|l\|.\|\|\\|.\|(\|q\|_\|p\|r\|o\|j\|\|\|k\|_\|p\|r\|o\|j\|\|\|v\|_\|p\|r\|o\|j\|\|\|o\|_\|p\|r\|o\|j\|\|\|g\|a\|t\|e\|_\|p\|r\|o\|j\|\|\|u\|p\|_\|p\|r\|o\|j\|\|\|d\|o\|w\|n\|_\|p\|r\|o\|j\|\|\|i\|n\|_\|p\|r\|o\|j\|_\|q\|k\|v\|\|\|i\|n\|_\|p\|r\|o\|j\|_\|z\|\|\|o\|u\|t\|_\|p\|r\|o\|j\|)
LoRA Alpha	32
LoRA Dropout	0
R Param	16

Rank the Imajev 2B 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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