What are the hardware requirements for Om Logistics Pod?

Om Logistics Pod requires approximately 17.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Om Logistics Pod and how large is it?

Om Logistics Pod is developed by elprofessor67, a model with 8b 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 Om Logistics Pod?

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

Om Logistics Pod by elprofessor67 — VRAM 17.5GB

Name: Om Logistics Pod
Author: elprofessor67

Om Logistics Pod is an open-source language model by elprofessor67. Features: 8b LLM, VRAM: 17.5GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.25.

Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-vl-8b... Conversational En Endpoints compatible Image-text-to-text Instruct Qwen3 vl Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/elprofessor67/om-logistics-pod

Om Logistics Pod Parameters and Internals

LLM Name	Om Logistics Pod
Repository 🤗	https://huggingface.co/elprofessor67/om-logistics-pod
Model Name	unsloth/Qwen3-VL-8B-Instruct
Base Model(s)	Qwen3 VL 8B Instruct unsloth/Qwen3-VL-8B-Instruct
Model Size	8b
Required VRAM	17.5 GB
Updated	2026-08-17
Maintainer	elprofessor67
Model Type	qwen3_vl
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 2.7 GB: 4-of-4
Supported Languages	en
Model Architecture	Qwen3VLForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Torch Data Type	bfloat16
Errors	replace

Rank the Om Logistics Pod 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 Om Logistics Pod

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 VL 8B Instruct	0K / 17.5 GB	4494329	1037
Qwen3 VL 8B Instruct FP8	0K / 10.6 GB	3108604	77
PhysBrain1.5 8B	0K / 17.8 GB	638	27
Qwen3vl Resume Parser	0K / 17.5 GB	257455	3
Uzocr 8B	0K / 17.5 GB	66	1
Qwen3 VL 8B Heretic 1.3.0	0K / 17.5 GB	4653	12
Video HopChain 8B Standard RL	0K / 17.6 GB	53	0
ArmorOCR	0K / 17.5 GB	195	9
Qwen3 VL 8B VQA SFT	0K / 17.5 GB	199	0
FaithEyes 8B RL	0K / 17.5 GB	25	0

Note: green Score (e.g. "73.2") means that the model is better than elprofessor67/om-logistics-pod.