What are the hardware requirements for GLM 5.3 Flash MLX Serve IQ MLX 5.1bpw?

GLM 5.3 Flash MLX Serve IQ MLX 5.1bpw requires approximately 202.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLM 5.3 Flash MLX Serve IQ MLX 5.1bpw and how large is it?

GLM 5.3 Flash MLX Serve IQ MLX 5.1bpw is developed by ddalcu, 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 MLX Serve IQ MLX 5.1bpw?

GLM 5.3 Flash MLX Serve IQ MLX 5.1bpw 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 MLX Serve IQ MLX 5.1bpw by ddalcu — VRAM 202.8GB

Name: GLM 5.3 Flash MLX Serve IQ MLX 5.1bpw
Author: ddalcu

GLM 5.3 Flash MLX Serve IQ MLX 5.1bpw is an open-source language model by ddalcu. Features: 321.3b LLM, VRAM: 202.8GB, License: mit, LLM Explorer Score: 0.31.

4-bit Base model:quantized:zai-org/g... Base model:zai-org/glm-5.3-fla... Conversational En Glm Glm5 next Gptq Image-text-to-text Mlx Mlx-serve Moe Native-mtp Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/ddalcu/GLM-5.3-Flash-MLX-Serve-iQ-MLX-5.1bpw

GLM 5.3 Flash MLX Serve IQ MLX 5.1bpw Parameters and Internals

LLM Name	GLM 5.3 Flash MLX Serve IQ MLX 5.1bpw
Repository 🤗	https://huggingface.co/ddalcu/GLM-5.3-Flash-MLX-Serve-iQ-MLX-5.1bpw
Base Model(s)	zai-org/GLM-5.3-Flash zai-org/GLM-5.3-Flash
Model Size	321.3b
Required VRAM	202.8 GB
Updated	2026-10-19
Maintainer	ddalcu
Model Type	glm5_next
Model Files	6.2 GB: 1-of-36 5.5 GB: 2-of-36 5.5 GB: 3-of-36 5.5 GB: 4-of-36 5.5 GB: 5-of-36 5.5 GB: 6-of-36 5.5 GB: 7-of-36 5.5 GB: 8-of-36 5.5 GB: 9-of-36 5.5 GB: 10-of-36 6.1 GB: 11-of-36 5.9 GB: 12-of-36 6.2 GB: 13-of-36 6.1 GB: 14-of-36 5.9 GB: 15-of-36 6.2 GB: 16-of-36 6.1 GB: 17-of-36 5.9 GB: 18-of-36 6.2 GB: 19-of-36 6.1 GB: 20-of-36 5.9 GB: 21-of-36 5.6 GB: 22-of-36 5.8 GB: 23-of-36 5.6 GB: 24-of-36 5.6 GB: 25-of-36 5.8 GB: 26-of-36 5.6 GB: 27-of-36 5.6 GB: 28-of-36 5.8 GB: 29-of-36 5.6 GB: 30-of-36 5.6 GB: 31-of-36 5.8 GB: 32-of-36 5.6 GB: 33-of-36 5.6 GB: 34-of-36 5.6 GB: 35-of-36 1.3 GB: 36-of-36
Supported Languages	en zh
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 MLX Serve IQ MLX 5.1bpw 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 MLX Serve IQ MLX 5.1bpw

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 Abliterated	0K / 460.9 GB	539	40
Apex Flash 1	0K / 460.9 GB	367	37
RED SNOW 5.3 FLASH BF16	0K / 215.5 GB	880	10
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 OQ2e Mtp	0K / 110.4 GB	374	2

Note: green Score (e.g. "73.2") means that the model is better than ddalcu/GLM-5.3-Flash-MLX-Serve-iQ-MLX-5.1bpw.