What are the hardware requirements for VLX Seek 1.5 10B?

VLX Seek 1.5 10B requires approximately 20 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed VLX Seek 1.5 10B and how large is it?

VLX Seek 1.5 10B is developed by omlab, a model with 10b 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 VLX Seek 1.5 10B?

VLX Seek 1.5 10B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

VLX Seek 1.5 10B by omlab — VRAM 20GB

Name: VLX Seek 1.5 10B
Author: omlab

VLX Seek 1.5 10B is an open-source language model by omlab. Features: 10b LLM, VRAM: 20GB, License: apache-2.0, LLM Explorer Score: 0.27.

Conversational En Endpoints compatible Grounding Image-text-to-text Multimodal Object-detection Rec Region:us Safetensors Vlm Vlx Vlx seek 1 5 Zero-shot-object-detection Zh

Model Card on HF 🤗: https://huggingface.co/omlab/VLX-Seek-1.5-10B

VLX Seek 1.5 10B Parameters and Internals

LLM Name	VLX Seek 1.5 10B
Repository 🤗	https://huggingface.co/omlab/VLX-Seek-1.5-10B
Model Size	10b
Required VRAM	20 GB
Updated	2026-08-11
Maintainer	omlab
Model Type	vlx_seek_1_5
Model Files	20.0 GB
Supported Languages	zh en
Model Architecture	VLXSeek1_5ForCausalLM
License	apache-2.0
Model Max Length	8192
Transformers Version	5.2.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the VLX Seek 1.5 10B 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