What are the hardware requirements for GLM 5.3 Flash EXL3 K2?

GLM 5.3 Flash EXL3 K2 requires approximately 37.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLM 5.3 Flash EXL3 K2 and how large is it?

GLM 5.3 Flash EXL3 K2 is developed by vcruz305, a model with 48.9b 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 GLM 5.3 Flash EXL3 K2?

GLM 5.3 Flash EXL3 K2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GLM 5.3 Flash EXL3 K2 by vcruz305 — VRAM 37.8GB

Name: GLM 5.3 Flash EXL3 K2
Author: vcruz305

GLM 5.3 Flash EXL3 K2 is an open-source language model by vcruz305. Features: 48.9b LLM, VRAM: 37.8GB, License: mit, LLM Explorer Score: 0.28.

2-bit Base model:quantized:zai-org/g... Base model:zai-org/glm-5.3-fla... Conversational En Exl3 Glm Glm5 next Moe Quantized Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/vcruz305/GLM-5.3-Flash-EXL3-K2

GLM 5.3 Flash EXL3 K2 Parameters and Internals

LLM Name	GLM 5.3 Flash EXL3 K2
Repository 🤗	https://huggingface.co/vcruz305/GLM-5.3-Flash-EXL3-K2
Base Model(s)	zai-org/GLM-5.3-Flash-BF16 zai-org/GLM-5.3-Flash-BF16
Model Size	48.9b
Required VRAM	37.8 GB
Updated	2026-08-31
Maintainer	vcruz305
Model Type	glm5_next
Model Files	3.9 GB: 1-of-120 0.7 GB: 2-of-120 0.7 GB: 3-of-120 1.0 GB: 4-of-120 0.7 GB: 5-of-120 0.7 GB: 6-of-120 0.9 GB: 7-of-120 0.7 GB: 8-of-120 1.0 GB: 9-of-120 0.7 GB: 10-of-120 0.7 GB: 11-of-120 1.0 GB: 12-of-120 0.7 GB: 13-of-120 0.7 GB: 14-of-120 1.0 GB: 15-of-120 0.7 GB: 16-of-120 0.7 GB: 17-of-120 0.9 GB: 18-of-120 0.7 GB: 19-of-120 0.8 GB: 20-of-120 0.8 GB: 21-of-120 0.7 GB: 22-of-120 1.0 GB: 23-of-120 0.7 GB: 24-of-120 0.7 GB: 25-of-120 1.0 GB: 26-of-120 0.7 GB: 27-of-120 0.7 GB: 28-of-120 1.4 GB: 29-of-120 0.7 GB: 30-of-120 0.7 GB: 31-of-120 1.0 GB: 32-of-120 0.7 GB: 33-of-120 1.0 GB: 34-of-120 0.7 GB: 35-of-120 0.7 GB: 36-of-120 1.0 GB: 37-of-120 0.7 GB: 38-of-120 0.7 GB: 39-of-120 0.9 GB: 40-of-120 0.7 GB: 41-of-120 0.7 GB: 42-of-120 1.0 GB: 43-of-120
Supported Languages	en zh
Model Architecture	Glm5NextForConditionalGeneration
License	mit
Transformers Version	5.16.0

Rank the GLM 5.3 Flash EXL3 K2 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 GLM 5.3 Flash EXL3 K2

Best Alternatives	Context / RAM	Downloads	Likes
GLM 5.3 Flash Sushi 2bpw	0K / 1.8 GB	139	12

Note: green Score (e.g. "73.2") means that the model is better than vcruz305/GLM-5.3-Flash-EXL3-K2.