What are the hardware requirements for OMEGA 4B SpatialThink 0804?

OMEGA 4B SpatialThink 0804 requires approximately 8.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OMEGA 4B SpatialThink 0804 and how large is it?

OMEGA 4B SpatialThink 0804 is developed by prithivMLmods, a model with 4b 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 OMEGA 4B SpatialThink 0804?

OMEGA 4B SpatialThink 0804 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OMEGA 4B SpatialThink 0804 by prithivMLmods — VRAM 8.9GB

Name: OMEGA 4B SpatialThink 0804
Author: prithivMLmods

OMEGA 4B SpatialThink 0804 is an open-source language model by prithivMLmods. Features: 4b LLM, VRAM: 8.9GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.24.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-vl-4b-in... Computer-vision Conditional-generation Conversational Dataset:prithivmlmods/opencapt... Dataset:remyxai/spacethinker En Endpoints compatible Fine-grained-captioning Image-captioning Image-text-to-text Instruct Language-model Multimodal Qwen3 vl Region:us Safetensors Sft Sharded Spatial-reasoning Tensorflow Vision Vision-language Visual-question-answering Vllm

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/oMEGA-4B-SpatialThink-0804

OMEGA 4B SpatialThink 0804 Parameters and Internals

LLM Name	OMEGA 4B SpatialThink 0804
Repository 🤗	https://huggingface.co/prithivMLmods/oMEGA-4B-SpatialThink-0804
Base Model(s)	Qwen3 VL 4B Instruct Qwen/Qwen3-VL-4B-Instruct
Model Size	4b
Required VRAM	8.9 GB
Updated	2026-08-09
Maintainer	prithivMLmods
Model Type	qwen3_vl
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 3.9 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen3VLForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.14.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the OMEGA 4B SpatialThink 0804 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 OMEGA 4B SpatialThink 0804

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 VL 4B Instruct	0K / 8.9 GB	3611570	437
MinerU Popo	0K / 17.6 GB	26895	4
Qwen3 VL 4B Instruct FP8	0K / 6.1 GB	301103	65
Op Hrg Qwen3vl4b Instruct	0K / 9.7 GB	51	2
Loopl Vl 4B	0K / 8.9 GB	30	0
MJev Qwen3 VL 4B RLCD	0K / 9.7 GB	40	2
Spatial Interactor Qwen3 VL 4B	0K / 9.7 GB	82	0
...rallelTubeDecoding Qwen3 VL 4B	0K / 8.9 GB	77	2
VecLang 4B	0K / 8.9 GB	63	1
SFT 4B ScaleCUA MixedOpen	0K / 8.9 GB	33	0

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/oMEGA-4B-SpatialThink-0804.