What are the hardware requirements for LOCUS 0.8B?

LOCUS 0.8B requires approximately 1.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LOCUS 0.8B and how large is it?

LOCUS 0.8B is developed by MTalha2001, 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 LOCUS 0.8B?

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

LOCUS 0.8B by MTalha2001 — VRAM 1.5GB

Name: LOCUS 0.8B
Author: MTalha2001

LOCUS 0.8B is an open-source language model by MTalha2001. Features: 0.8b LLM, VRAM: 1.5GB, License: apache-2.0, LLM Explorer Score: 0.28.

Arxiv:2610.35053 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-0.8b En Image-text-to-text Referring-expression-comprehen... Region:us Safetensors Speculative-decoding Visual-grounding

Model Card on HF 🤗: https://huggingface.co/MTalha2001/LOCUS-0.8B

LOCUS 0.8B Parameters and Internals

LLM Name	LOCUS 0.8B
Repository 🤗	https://huggingface.co/MTalha2001/LOCUS-0.8B
Base Model(s)	Qwen/Qwen3.5-0.8B Qwen/Qwen3.5-0.8B
Model Size	0.8b
Required VRAM	1.5 GB
Updated	2026-10-31
Maintainer	MTalha2001
Model Files	1.5 GB
Supported Languages	en
License	apache-2.0

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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