What are the hardware requirements for Glider?

Glider requires approximately 15.4 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Glider and how large is it?

Glider is developed by PatronusAI, a model with 3.8b 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 Glider?

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

Glider by PatronusAI — VRAM 15.4GB, 128K context

Name: Glider
Author: PatronusAI

Glider is an open-source language model by PatronusAI. Features: 3.8b LLM, VRAM: 15.4GB, Context: 128K, License: cc-by-nc-4.0, Instruction-Based, LLM Explorer Score: 0.17.

Arxiv:2412.14140 Base model:finetune:microsoft/... Base model:microsoft/phi-3.5-m... Conversational Custom code En Endpoints compatible Evaluation Hallucination-detection Instruct Multilingual Patronus ai Phi3 Pytorch Region:us Safetensors Sharded Small-evaluator Tensorflow

Model Card on HF 🤗: https://huggingface.co/PatronusAI/glider

Glider Parameters and Internals

LLM Name	Glider
Repository 🤗	https://huggingface.co/PatronusAI/glider
Base Model(s)	microsoft/Phi-3.5-mini-instruct microsoft/Phi-3.5-mini-instruct
Model Size	3.8b
Required VRAM	15.4 GB
Updated	2026-07-07
Maintainer	PatronusAI
Model Type	phi3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 0.4 GB: 4-of-4
Supported Languages	en
Model Architecture	Phi3ForCausalLM
License	cc-by-nc-4.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.47.0
Tokenizer Class	LlamaTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	32064
Torch Data Type	float32

Rank the Glider 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 Glider

Best Alternatives	Context / RAM	Downloads	Likes
Phi 4 Mini Instruct	128K / 7.7 GB	514603	791
Phi 3.5 Mini Instruct	128K / 7.7 GB	1164079	999
Phi 3 Mini 128K Instruct	128K / 7.7 GB	233663	1700
Phi 3 Mini 128K Instruct	128K / 7.7 GB	7	0
Phi 3 Mini 128K Instruct	128K / 7.7 GB	11	0
Phi 4 Mini Instruct Heretic	128K / 7.7 GB	13	0
Phi 3.5 Mini TitanFusion 0.1	128K / 7.7 GB	7	0
NuExtract V1.5	128K / 7.7 GB	108511	89
MediPhi Instruct	128K / 7.7 GB	1671	69
ECE EIFFEL 3Bv2	128K / 7.7 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than PatronusAI/glider.