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Text model · GLM

GL GLM-4-9B-0414: RAM and VRAM requirements

GLM-4-9B-0414 needs about 7.2 GB to run at Q4_K_M (the Q4_K_M GGUF file is ~5.74 GB to download; KV cache and overhead add the rest), or about 10.8 GB at Q8_0. The lightest hardware that runs it is Nvidia GeForce RTX 3060 (12GB).

GLM family · 9B params · released Apr 2025.

Shopping for hardware? See what runs GLM-4-9B-0414 →

License MIT · Commercial OK ↓ 32.1K/mo ♥ 109 on HuggingFace
Q4_K_M GGUF
5.74 GB
Q8_0 GGUF
9.31 GB
Memory @ Q4 (4k)
~7.2 GB
Context
32 k

Q4_K_M and Q8_0 are GGUF download (file) sizes. Memory @ Q4 includes the KV cache and overhead, so it runs larger than the file on disk.

Will it run on your device?

GLM-4-9B-0414 runs on 33 of 40 tracked devices at Q4_K_M.

31 run well 2 tight fit 7 too small
Fit check Q4_K_M
Yes, it runs fast
needs 7.2 GB usable 10.5 GB
See the full breakdown

Memory breakdown

Weights (Q4_K_M)5.74 GB
+
KV cache (4k)0.7 GB
+
Overhead0.8 GB
=
Total7.2 GB

How context length changes it

4k context ~7.2 GB 32k context ~12.3 GB 128k context ~29.5 GB

Longer context grows the KV cache quickly: GLM-4-9B-0414 needs ~7.2 GB at 4k but ~29.5 GB at 128k, which can push it past a device that fits it at a short context.

Speed drops too: every token re-reads the KV cache, so at 128k context GLM-4-9B-0414 generates at roughly ~20% of its short-context speed. How this is estimated.

Quantization sizes

GGUF quantson disk
Quantization Size on disk
Q2_K 3.8 GB est
Q3_K_M 4.4 GB est
Q4_K_M (default) 5.74 GB
Q5_K_M 6.4 GB est
Q6_K 7.4 GB est
Q8_0 9.31 GB
FP16 18.81 GB

Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.

Run it

llama.cpp
$ llama-cli -hf bartowski/THUDM_GLM-4-9B-0414-GGUF:Q4_K_M
LM Studio
$ lms get bartowski/THUDM_GLM-4-9B-0414-GGUF

Which devices can run GLM-4-9B-0414?

Apple Silicon Macs

RAM-only laptops

iPhone & iPad

Android

NVIDIA GPUs

AMD GPUs

Same job, different size

Pick by what fits your memory: step down to free up VRAM, or step up if you have headroom.

Next size down Granite 4.1 8B 8.8B Next size up Falcon3 10B 10B

Similar models

Head-to-head

FAQ

How much VRAM or RAM does GLM-4-9B-0414 need?

At Q4_K_M, GLM-4-9B-0414 needs about 7.2 GB (weights ~5.74 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~10.8 GB.

What is the Q4_K_M GGUF file size of GLM-4-9B-0414?

The Q4_K_M GGUF file is about 5.74 GB to download, and the Q8_0 GGUF is about 9.31 GB. That is the weights file on disk; to run it you also need room for the KV cache and overhead, so budget ~7.2 GB of memory at Q4_K_M.

Can GLM-4-9B-0414 run on a laptop?

GLM-4-9B-0414 is large; you need a 24 GB+ GPU or a 32-48 GB Mac at Q4_K_M.

Can I use GLM-4-9B-0414 commercially?

Yes. GLM-4-9B-0414 is licensed MIT, which permits commercial use.

Understand the numbers

Short guides to the ideas behind GLM-4-9B-0414's memory and quant figures.

Dense 9B transformer. Native context 32K (same config pattern as 32B sibling); YaRN extension reaches 128K. MIT license per THUDM and zai-org HF repos. Released April 14 2025 alongside GLM-4-32B-0414. Q4_K_M 6.17 GB, Q8_0 10.00 GB, FP16 18.81 GB all measured from bartowski GGUF file listing. No official ollama.com/library tag; community tag milkey/GLM-4-9B-0414 exists.

Sources

Last validated 2026-08-03. Memory figures are estimates. See methodology.