What are the hardware requirements for GLiDE 0.8B?

GLiDE 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 GLiDE 0.8B and how large is it?

GLiDE 0.8B is developed by fastino, 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 GLiDE 0.8B?

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

GLiDE 0.8B by fastino — VRAM 1.5GB

Name: GLiDE 0.8B
Author: fastino

GLiDE 0.8B is an open-source language model by fastino. Features: 0.8b LLM, VRAM: 1.5GB, License: other, LLM Explorer Score: 0.31.

Classification Conversational Decision-model Endpoints compatible Image-text-to-text Qwen3 5 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/fastino/GLiDE-0.8B

GLiDE 0.8B Parameters and Internals

LLM Name	GLiDE 0.8B
Repository 🤗	https://huggingface.co/fastino/GLiDE-0.8B
Model Name	GLiDE-0.8B
Model Size	0.8b
Required VRAM	1.5 GB
Updated	2026-11-06
Maintainer	fastino
Model Type	qwen3_5
Model Files	1.5 GB: 1-of-1 0.0 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	other
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the GLiDE 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 GLiDE 0.8B

Best Alternatives	Context / RAM	Downloads	Likes
... 0.8B Weight Space Programming	0K / 1.8 GB	1297	90
OvisOCR3	0K / 1.7 GB	4972	109
... 0.8B Weight Space Programming	0K / 1.8 GB	227	56
Xiaomi OCR 0	0K / 1.8 GB	16009	164
Qwen3.5 0.8B	0K / 1.8 GB	2839884	655
OvisOCR2	0K / 1.7 GB	83978	506
MinerU2.5 Flash 0.8B	0K / 1.7 GB	23	1
Qwen3.5 0.8B Astra WeightEdit	0K / 1.8 GB	141	19
LightOnOCR 3 0.8B	0K / 1.7 GB	1318	48
Qwen3.5 0.8B Base	0K / 1.8 GB	828054	92

Note: green Score (e.g. "73.2") means that the model is better than fastino/GLiDE-0.8B.