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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/CodeGeeX 4 9B/on RTX 4070 Super 12GB

Can it run?

Can RTX 4070 Super 12GB run CodeGeeX 4 9B?

BGood

Runs well

Using Q4_K_M in Ollama

Capabilities:

Fit status

Runs well

Decode

70.7 tok/s

TTFT

2739 ms

Safe context

21K

Memory

9.3 GB / 12.0 GB

Memory breakdown

Weights5.5 GB
KV Cache1.4 GB
Runtime1.2 GB
Headroom1.2 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingCTight fit70.7 tok/s3984 ms36K
ChatBRuns well70.7 tok/s1494 ms11K
CodingBRuns well70.7 tok/s2739 ms21K
RAGCTight fit70.7 tok/s4980 ms36K
ReasoningBRuns well70.7 tok/s3237 ms21K

Quantization options

How CodeGeeX 4 9B (9B params) fits at each quantization level on RTX 4070 Super 12GB (12.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
3.5 GB
LowD35
Q3_K_S
3
4.4 GB
LowD37
NVFP4
4
5.0 GB
MediumD38
Q4_K_M
4
5.5 GB
MediumD39
Q5_K_M
5
6.5 GB
HighC40
Q6_KBest for your GPU
6
7.4 GB
HighC42
Q8_0
8
9.6 GB
Very HighC44
F16
16
18.5 GB
MaximumF0

Get started

Ollama
ollama run codegeex-4-9b
HuggingFace
huggingface-cli download codegeex-4-9b
See all results for RTX 4070 Super 12GBSee all hardware for CodeGeeX 4 9B