OneNexus·GLM 5·Glm5NextForConditionalGeneration

GLM 5.3 Flash MXFP4 — Hardware Requirements & GPU Compatibility

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GLM 5.3 Flash MXFP4 is a 180.0B-parameter open language model from OneNexus in the GLM 5 family. It supports a context window of up to 1,048,576 tokens. At Q4_K_M it needs about 109.81 GB of VRAM — see which GPUs and Macs can run it below.

871 downloads 2 likes1049K context
Based on GLM 5.3 Flash

Specifications

Publisher
OneNexus
Family
GLM 5
Parameters
180.0B
Architecture
Glm5NextForConditionalGeneration
Context Length
1,048,576 tokens
Vocabulary Size
154,880
Release Date
2026-08-30
License
MIT

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How Much VRAM Does GLM 5.3 Flash MXFP4 Need?

Select a quantization to see compatible GPUs below.

QuantizationBitsVRAM
Q2_Kest.3.4078.3 GB
Q3_K_Mest.3.9089.6 GB
Q4_K_Mest.4.80109.8 GB
Q5_K_Mest.5.70130.1 GB
Q6_Kest.6.60150.3 GB
Q8_0est.8.00181.8 GB
BF16est.16.00361.8 GB

est.= calculated VRAM estimate; no published GGUF file found for that quantization yet. Other rows are verified against real community uploads.

Which GPUs Can Run GLM 5.3 Flash MXFP4?

Q4_K_M · 109.8 GB

GLM 5.3 Flash MXFP4 (Q4_K_M) requires 109.8 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 143+ GB is recommended. Using the full 1049K context window can add up to 771.6 GB, bringing total usage to 881.4 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.

Which Devices Can Run GLM 5.3 Flash MXFP4?

Q4_K_M · 109.8 GB

11 devices with unified memory can run GLM 5.3 Flash MXFP4, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, MacBook Pro 16" M5 Max (128 GB).

Related Models

Frequently Asked Questions

How much VRAM does GLM 5.3 Flash MXFP4 need?

GLM 5.3 Flash MXFP4 requires 109.8 GB of VRAM at Q4_K_M, or 361.8 GB at BF16. Full 1049K context adds up to 771.6 GB (881.4 GB total).

VRAM = Weights + KV Cache + Overhead

Weights = 180.0B × 4.8 bits ÷ 8 = 108 GB

KV Cache + Overhead 1.8 GB (at 2K context + ~0.3 GB framework)

KV Cache + Overhead 773.4 GB (at full 1049K context)

VRAM usage by quantization

109.8 GB
881.4 GB

Learn more about VRAM estimation →

Can NVIDIA GeForce RTX 5090 run GLM 5.3 Flash MXFP4?

No — GLM 5.3 Flash MXFP4 requires at least 78.3 GB at Q2_K, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.

What's the best quantization for GLM 5.3 Flash MXFP4?

For GLM 5.3 Flash MXFP4, Q4_K_M (109.8 GB) offers the best balance of quality and VRAM usage. Q5_K_M (130.1 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 78.3 GB.

VRAM requirement by quantization

Q2_K
78.3 GB
Q4_K_M
109.8 GB
Q5_K_M
130.1 GB
Q6_K
150.3 GB
Q8_0
181.8 GB
BF16
361.8 GB

★ Recommended — best balance of quality and VRAM usage.

Learn more about quantization →

Can I run GLM 5.3 Flash MXFP4 on a Mac?

GLM 5.3 Flash MXFP4 requires at least 78.3 GB at Q2_K, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.

Can I run GLM 5.3 Flash MXFP4 locally?

Yes — GLM 5.3 Flash MXFP4 can run locally on consumer hardware. At Q4_K_M quantization it needs 109.8 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.

How fast is GLM 5.3 Flash MXFP4?

At Q4_K_M, GLM 5.3 Flash MXFP4 can reach ~44 tok/s on AMD Instinct MI350X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.

tok/s = (bandwidth GB/s ÷ model GB) × efficiency

Example: NVIDIA B2008000 ÷ 109.8 × 0.65 = ~47 tok/s

Estimated speed at Q4_K_M (109.8 GB)

~47 tok/s
~47 tok/s
~44 tok/s

Real-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.

Learn more about tok/s estimation →

What's the download size of GLM 5.3 Flash MXFP4?

At Q4_K_M, the download is about 108.00 GB. The full-precision BF16 version is 359.98 GB. The smallest option (Q2_K) is 76.50 GB.

Which GPUs can run GLM 5.3 Flash MXFP4?

No single consumer GPU has enough VRAM to run GLM 5.3 Flash MXFP4 at Q4_K_M (109.8 GB). Multi-GPU or professional hardware is required.

Which devices can run GLM 5.3 Flash MXFP4?

18 devices with unified memory can run GLM 5.3 Flash MXFP4 at Q4_K_M (109.8 GB), including ASUS Ascent GX10, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB), Beelink GTR9 Pro (Ryzen AI Max+ 395, 128 GB), Framework Desktop (Ryzen AI Max+ 395, 128 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.