FitMyLLM
Zhipu AI/Dense

Zhipu AIGLM-4.1V 9B Thinking

GLM-4.1V 9B Thinking — Zhipu's vision-language reasoning model. Thinking mode is on by default, which is where its benchmark scores come from.

chatvisionreasoningmultilingual
10.29B
Parameters
64K
Context length
0
Benchmarks
10
Quantizations
356K
HF downloads
Architecture
Dense
Released
2025-06-28
Layers
40
KV Heads
2
Head Dim
128
Family
glm

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q3_K_M4
6.1 GB
5.6 + 0.5 KV
low
Q3_K_L4.3
6.5 GB
6.0 + 0.5 KV
moderate
IQ4_XS4.46
6.7 GB
6.2 + 0.5 KV
moderate
Q4_K_S4.67
7.0 GB
6.5 + 0.5 KV
moderate
Q4_K_M4.89
7.2 GB
6.8 + 0.5 KV
good
Q5_K_S5.57
8.1 GB
7.7 + 0.5 KV
good
Q5_K_M5.7
8.3 GB
7.8 + 0.5 KV
good
Q6_K6.56
9.4 GB
8.9 + 0.5 KV
excellent
Q8_08.5
11.9 GB
11.4 + 0.5 KV
lossless
FP1616
21.5 GB
21.1 + 0.5 KV
lossless

Select your GPU above to see speed estimates and compatibility for each quantization.

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Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run glm:10b-q4_K_M

Tag may need adjustment — check ollama.com/library/glm for available tags.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

Apple M1 (8GB)
8 GB VRAM • 68 GB/s
APPLE
$499
Apple M2 (8GB)
8 GB VRAM • 100 GB/s
APPLE
$599
Apple M3 (8GB)
8 GB VRAM • 100 GB/s
APPLE
$599
NVIDIA Tesla K8
8 GB VRAM • 160 GB/s
NVIDIA
NVIDIA Tesla M60
8 GB VRAM • 160 GB/s
NVIDIA

Find the best GPU for GLM-4.1V 9B Thinking

Build Hardware for GLM-4.1V 9B Thinking
▸ SPEC SHEET

GLM-4.1V 9B Thinking10.29B Dense.

▸ SPECIFICATIONS
PARAMETERS
10.29B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
64K tokens
CAPABILITIES
chat, vision, reasoning, multilingual
RELEASE DATE
2025-06-28
PROVIDER
Zhipu AI
FAMILY
glm
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q3_K_M45.6 GB88%
Q3_K_L4.36.0 GB90%
IQ4_XS4.466.2 GB92%
Q4_K_S4.676.5 GB93%
Q4_K_M4.896.8 GB94%
Q5_K_S5.577.7 GB96%
Q5_K_M5.77.8 GB96%
Q6_K6.568.9 GB97%
Q8_08.511.4 GB100%
FP161621.1 GB100%
§ 03COMPATIBLE GPUs
30 @ Q4_K_M