What are the hardware requirements for GLiDE 9B?

GLiDE 9B requires approximately 15.9 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLiDE 9B and how large is it?

GLiDE 9B is developed by fastino, a model with 9b 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 9B?

GLiDE 9B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GLiDE 9B by fastino — VRAM 15.9GB, 256K context

Name: GLiDE 9B
Author: fastino

GLiDE 9B is an open-source language model by fastino. Features: 9b LLM, VRAM: 15.9GB, Context: 256K, License: other, LLM Explorer Score: 0.34.

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

Model Card on HF 🤗: https://huggingface.co/fastino/GLiDE-9B

GLiDE 9B Parameters and Internals

LLM Name	GLiDE 9B
Repository 🤗	https://huggingface.co/fastino/GLiDE-9B
Model Name	GLiDE-9B
Model Size	9b
Required VRAM	15.9 GB
Updated	2026-11-09
Maintainer	fastino
Model Type	qwen3_5_text
Model Files	10.8 GB: 1-of-2 5.1 GB: 2-of-2 0.0 GB
Model Architecture	Qwen3_5ForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the GLiDE 9B 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 9B

Best Alternatives	Context / RAM	Downloads	Likes
Qwepus	1024K / 17.9 GB	453	0
...thos 9B V2 Heretic Abliterated	1024K / 17.9 GB	80	3
Le Gros Chaton	256K / 17.9 GB	235	1
NeoHorse 1 9B	256K / 18 GB	1250	196
Teutonic I Reliquary RL	256K / 17.9 GB	2772	1
Drex V1.5	256K / 17.9 GB	267	47
...yber Ornith 1.5 9B OBLITERATED	256K / 17.9 GB	1424	7
WikiQwen 9B	256K / 17.9 GB	1039	0
JEV 9B	256K / 17.8 GB	471	12
...te Qwopus MiMo Ornith 9B Coder	256K / 17.8 GB	615	6

Note: green Score (e.g. "73.2") means that the model is better than fastino/GLiDE-9B.