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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Models/GLM-4 9B

ZhipuZhipu

GLM-4 9B

Current
huggingfaceHuggingFaceollamaOllama
152.0KDownloads702LikesJun 2024Released128K tokensContextGLMLicense3 EntryQuality

Get started

— copy & paste to run locally
Ollama
ollama run glm-4-9b
HuggingFace
huggingface-cli download glm-4-9b

Quick specs

Parameters9B
Architecturedense
Context128K tokens
Modalitytext
Min RAM3.5 GB
Rec. RAM5.5 GB (Q4_K_M)
LicenseGLM
FamilyGLM
✓ Chat

About this model

2024/11/25, 我们建议使用从 `transformers>=4.46.0` 开始,使用 glm-4-9b-chat-hf 以减少后续 transformers 升级导致的兼容性问题。

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Best overallB
RTX 3080 12GB~$799 — 126 tok/s

Best hardware

Top picks for GLM-4 9B

NVIDIA
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NVIDIA
RTX 3080 Ti 12GBB
12 GB
NVIDIA
RTX 5070 12GBB
12 GB
NVIDIA
RTX 2080 Ti 11GBB
11 GB
NVIDIA
RTX 4070 Super 12GBB
12 GB

Quantization options

VRAM estimates by quant level

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
3.5 GB
Low—
Q3_K_S
3
4.4 GB
Low—
NVFP4
4
5.0 GB
Medium—
Q4_K_M
4
5.5 GB
Medium—
Q5_K_M
5
6.5 GB
High—
Q6_K
6
7.4 GB
High—
Q8_0
8
9.6 GB
Very High—
F16
16
18.5 GB
Maximum—

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: NVIDIA A10 24GB

Weights5.5 GB
KV Cache1.4 GB
Runtime0.9 GB
Headroom2.4 GB