What are the hardware requirements for Qev 0.8B?

Qev 0.8B requires approximately 1.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qev 0.8B and how large is it?

Qev 0.8B is developed by labqoat, a model with 0.8b 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 Qev 0.8B?

Qev 0.8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qev 0.8B by labqoat — VRAM 1.7GB

Name: Qev 0.8B
Author: labqoat

Qev 0.8B is an open-source language model by labqoat. Features: 0.8b LLM, VRAM: 1.7GB, License: apache-2.0.

Agents Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-0.8b-b... Calibration Classification Conversational Decision-making En Endpoints compatible Games Guardrails Image-input Image-text-to-text Jev On-device Qwen3 5 Region:us Routing Safetensors System-one

Model Card on HF 🤗: https://huggingface.co/labqoat/qev-0.8b

Qev 0.8B Parameters and Internals

LLM Name	Qev 0.8B
Repository 🤗	https://huggingface.co/labqoat/qev-0.8b
Base Model(s)	Qwen/Qwen3.5-0.8B-Base Qwen/Qwen3.5-0.8B-Base
Model Size	0.8b
Required VRAM	1.7 GB
Updated	2026-10-24
Maintainer	labqoat
Model Type	qwen3_5
Model Files	1.7 GB
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qev 0.8B 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 Qev 0.8B

Best Alternatives	Context / RAM	Downloads	Likes
OvisOCR2	0K / 1.7 GB	184769	498
Qwen3.5 0.8B	0K / 1.8 GB	2839884	655
MinerU2.5 Flash 0.8B	0K / 1.7 GB	23	1
LightOnOCR 3 0.8B	0K / 1.7 GB	1318	48
Qwen3.5 0.8B Base	0K / 1.8 GB	828054	92
Xiaomi OCR 0	0K / 1.8 GB	933	15
Tev1 0.8B Onnx Webgpu	0K / GB	1336	1
OneJev 0.8B	0K / 2.2 GB	1101	2
Tev1 0.8B Experimental	0K / 1.8 GB	644	9
OneJev1.6 0.8B	0K / 1.7 GB	219	1

Note: green Score (e.g. "73.2") means that the model is better than labqoat/qev-0.8b.