What are the hardware requirements for Om Logistics Pod V7 8B?

Om Logistics Pod V7 8B 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 V7 8B and how large is it?

Om Logistics Pod V7 8B 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 V7 8B?

Om Logistics Pod V7 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Om Logistics Pod V7 8B by elprofessor67 — VRAM 17.5GB

Name: Om Logistics Pod V7 8B
Author: elprofessor67

Om Logistics Pod V7 8B is an open-source language model by elprofessor67. Features: 8b LLM, VRAM: 17.5GB, License: apache-2.0, LLM Explorer Score: 0.29.

Base model:elprofessor67/om-lo... Base model:finetune:elprofesso... Conversational En Endpoints compatible Image-text-to-text Qwen3 vl Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/elprofessor67/om-logistics-pod-v7-8b

Om Logistics Pod V7 8B Parameters and Internals

LLM Name	Om Logistics Pod V7 8B
Repository 🤗	https://huggingface.co/elprofessor67/om-logistics-pod-v7-8b
Model Name	elprofessor67/om-logistics-pod-v3
Base Model(s)	Om Logistics Pod V3 elprofessor67/om-logistics-pod-v3
Model Size	8b
Required VRAM	17.5 GB
Updated	2026-08-24
Maintainer	elprofessor67
Model Type	qwen3_vl
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 V7 8B 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 V7 8B

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Qwen3 VL 8B Instruct	0K / 17.5 GB	4494329	1037
Holo2 8B	0K / 17.5 GB	1924	30
Qwen3 VL 8B Instruct FP8	0K / 10.6 GB	3108604	77
Qwen3vl Resume Parser	0K / 17.5 GB	257455	3
Qwen3 VL 8B Thinking	0K / 17.5 GB	107015	220
Qwen3 VL 8B Heretic 1.3.0	0K / 17.5 GB	4653	12
...Box Layouts Sft Plateau 15000a	0K / 17.5 GB	65	0
Zhimu 1.0	0K / 18.6 GB	151	3
UI Venus 1.5 8B	0K / 17.5 GB	8435	29
... Box Layouts Sft Plateau 9000a	0K / 17.5 GB	43	0

Note: green Score (e.g. "73.2") means that the model is better than elprofessor67/om-logistics-pod-v7-8b.