What are the hardware requirements for GLM 5.3 Flash OQ2e Mtp?

GLM 5.3 Flash OQ2e Mtp requires approximately 110.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLM 5.3 Flash OQ2e Mtp and how large is it?

GLM 5.3 Flash OQ2e Mtp is developed by Cropduster69, a model with 321.3b 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 OQ2e Mtp?

GLM 5.3 Flash OQ2e Mtp 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 OQ2e Mtp by Cropduster69 — VRAM 110.4GB

Name: GLM 5.3 Flash OQ2e Mtp
Author: Cropduster69

GLM 5.3 Flash OQ2e Mtp is an open-source language model by Cropduster69. Features: 321.3b LLM, VRAM: 110.4GB, License: mit, LLM Explorer Score: 0.3.

2-bit Apple-silicon Base model:quantized:zai-org/g... Base model:zai-org/glm-5.3-fla... Conversational Glm Glm5 next Image-text-to-text Imatrix Mlx Moe Mtp Omlx Oq Oq2e Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Cropduster69/GLM-5.3-Flash-oQ2e-mtp

GLM 5.3 Flash OQ2e Mtp Parameters and Internals

LLM Name	GLM 5.3 Flash OQ2e Mtp
Repository 🤗	https://huggingface.co/Cropduster69/GLM-5.3-Flash-oQ2e-mtp
Base Model(s)	zai-org/GLM-5.3-Flash zai-org/GLM-5.3-Flash
Model Size	321.3b
Required VRAM	110.4 GB
Updated	2026-10-05
Maintainer	Cropduster69
Model Type	glm5_next
Model Files	5.0 GB: 1-of-21 5.3 GB: 2-of-21 5.3 GB: 3-of-21 5.3 GB: 4-of-21 5.3 GB: 5-of-21 5.3 GB: 6-of-21 5.3 GB: 7-of-21 5.3 GB: 8-of-21 5.3 GB: 9-of-21 5.3 GB: 10-of-21 5.3 GB: 11-of-21 5.3 GB: 12-of-21 5.3 GB: 13-of-21 5.3 GB: 14-of-21 5.3 GB: 15-of-21 5.3 GB: 16-of-21 5.3 GB: 17-of-21 5.3 GB: 18-of-21 5.3 GB: 19-of-21 6.1 GB: 20-of-21 3.9 GB: 21-of-21
Model Architecture	Glm5NextForConditionalGeneration
License	mit
Model Max Length	1048576
Transformers Version	5.16.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>

Rank the GLM 5.3 Flash OQ2e Mtp 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 OQ2e Mtp

Best Alternatives	Context / RAM	Downloads	Likes
GLM 5.3 Flash	0K / 237.5 GB	34	1289
GLM 5.3 Flash BF16	0K / 237.1 GB	24	38
Apex Flash 1	0K / 460.9 GB	367	37
GLM 5.3 Flash FP8	0K / 237.5 GB	5048	22
... 5.3 Flash CYBERSECURITY W4A16	0K / 71.6 GB	4022	8
GLM 5.3 Flash ABLITERATED FP8	0K / 226.7 GB	1465	18
GLM 5.3 Flash	0K / 242.5 GB	1034	15
GLM 5.3 Flash Nota NVFP4	0K / 21 GB	160	17
...D F.U AnthraClaud Edition BF16	0K / 237.1 GB	266	8
Cyberneurova GLM 5.3 Flash FP8	0K / 242.9 GB	183	2

Note: green Score (e.g. "73.2") means that the model is better than Cropduster69/GLM-5.3-Flash-oQ2e-mtp.