What are the hardware requirements for SpaSEViLA Cold Start 7B?

SpaSEViLA Cold Start 7B requires approximately 16.6 GB of VRAM and supports a context window of 125K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SpaSEViLA Cold Start 7B and how large is it?

SpaSEViLA Cold Start 7B is developed by Aeronix-zzz, a model with 7b 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 SpaSEViLA Cold Start 7B?

SpaSEViLA Cold Start 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SpaSEViLA Cold Start 7B by Aeronix-zzz — VRAM 16.6GB, 125K context

Name: SpaSEViLA Cold Start 7B
Author: Aeronix-zzz

SpaSEViLA Cold Start 7B is an open-source language model by Aeronix-zzz. Features: 7b LLM, VRAM: 16.6GB, Context: 125K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.26.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-vl-7b-... Conversational Endpoints compatible Image-text-to-text Instruct Qwen2.5-vl Qwen2 5 vl Region:us Safetensors Sft Spatial-reasoning Vision Vision-language

Model Card on HF 🤗: https://huggingface.co/Aeronix-zzz/SpaSEViLA-cold-start-7B

SpaSEViLA Cold Start 7B Parameters and Internals

LLM Name	SpaSEViLA Cold Start 7B
Repository 🤗	https://huggingface.co/Aeronix-zzz/SpaSEViLA-cold-start-7B
Base Model(s)	Qwen/Qwen2.5-VL-7B-Instruct Qwen/Qwen2.5-VL-7B-Instruct
Model Size	7b
Required VRAM	16.6 GB
Updated	2026-09-07
Maintainer	Aeronix-zzz
Model Type	qwen2_5_vl
Instruction-Based	Yes
Model Files	16.6 GB
Model Architecture	Qwen2_5_VLForConditionalGeneration
License	apache-2.0
Context Length	128000
Model Max Length	128000
Transformers Version	4.41.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the SpaSEViLA Cold Start 7B 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 SpaSEViLA Cold Start 7B

Best Alternatives	Context / RAM	Downloads	Likes
OmniLong Qwen2.5 VL 7B	512K / 16.6 GB	7	2
Qwen2.5 VL 7B Instruct	125K / 16.7 GB	8740905	1666
OlmOCR 2 7B 1025 FP8	125K / 10 GB	540426	253
OlmOCR 2 7B 1025	125K / 16.6 GB	244728	157
RolmOCR	125K / 16.6 GB	224280	589
Qwen2.5 VL 7B Instruct FP4	125K / 7.2 GB	49165	3
Cosmos Reason1 7B	125K / 16.6 GB	62913	244
Zoom IQA 7B	125K / 16.6 GB	14	1
OlmOCR 7B 0825 FP8	125K / 10 GB	38011	10
Embodied Navigator 7B GRPO	125K / 17.3 GB	20	1

Note: green Score (e.g. "73.2") means that the model is better than Aeronix-zzz/SpaSEViLA-cold-start-7B.