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GLM9B params128k contextpopular

GLM-4 9B locally

GLM-4 9B is an open-weight LLM from the GLM family with 9B parameters. Main use: chat, RAG and general assistance. Detected minimum hardware: GTX 1060 6GB (6 GB).

Check on my GPU →Hugging Face ↗

Technical facts

Parameters9B

Max context128k

Q4_K_M5.7 GB

Q5_K_M6.9 GB

Q810.1 GB

FP1620.1 GB

FamilyGLM

Last sync2026-05-12

Available quantizations

GGUF weights

Q4_K_M

5.7GB

Acceptable. Good compromise when VRAM is limited.

Q5_K_M

6.9GB

Good quality. Sweet spot for size and precision.

Q8

10.1GB

Near-FP16 quality. Comfortable for production.

FP16

20.1GB

Reference precision. Maximum quality, doubled VRAM.

Compatible GPUs

12 single-GPU

GPUs that can run GLM-4 9B on a single card, ranked by VRAM headroom.

5.7 / 6 GBtight · Q4

5.7 / 6 GBtight · Q4

5.7 / 6 GBtight · Q4

5.7 / 6 GBtight · Q4

5.7 / 6 GBtight · Q4

5.7 / 6 GBtight · Q4

6 GB · Arc Alchemist

5.7 / 6 GBtight · Q4

5.7 / 8 GBcomfortable · Q4

5.7 / 8 GBcomfortable · Q4

5.7 / 8 GBcomfortable · Q4

5.7 / 8 GBcomfortable · Q4

5.7 / 8 GBcomfortable · Q4

Recommended multi-GPU rigs

2x / 4x consumer GPUs

For GLM-4 9B at higher quantization or with more context, a multi-GPU rig gives more headroom.

5.7 / 8 GBcomfortable · Q4

2× GTX 1060 6GB

12 GB · GTX 10

10.1 / 12 GBcomfortable · Q8

12 GB · GTX 16

10.1 / 12 GBcomfortable · Q8

2× GTX 1660 Super

12 GB · GTX 16

10.1 / 12 GBcomfortable · Q8

2× GTX 1660 Ti

12 GB · GTX 16

10.1 / 12 GBcomfortable · Q8

2× RTX 2060 6GB

12 GB · RTX 20

10.1 / 12 GBcomfortable · Q8

2× RTX 3050 6GB

12 GB · RTX 30

10.1 / 12 GBcomfortable · Q8

12 GB · Arc Alchemist

10.1 / 12 GBcomfortable · Q8

Recommended rig

2× GTX 1650

GLM-4 9B with Ubuntu, vLLM, Open WebUI and the model already downloaded.

Similar models

VRAM estimates: parameters x bits/8 plus margin. Real performance varies by engine, context length and batch size.
sync: 2026-05-12