CodeGeeX 4 9B needs ~20.8 GB VRAM. Mac Studio M1 Ultra 128GB has 92.2 GB. With Q4_K_M quantization, expect ~88 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
87.7 tok/s
TTFT
2209 ms
Safe context
131K
Memory
20.8 GB / 92.2 GB
This setup is broadly balanced for this model.
Shared-memory contention still exists
The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 87.7 tok/s | 1205 ms | 131K |
| Coding | A | Runs well | 87.7 tok/s | 2209 ms | 131K |
| Agentic Coding | A | Runs well | 87.7 tok/s | 3212 ms | 131K |
| Reasoning | A | Runs well | 87.7 tok/s | 2610 ms | 131K |
| RAG | A | Runs well | 87.7 tok/s | 4016 ms | 131K |
How CodeGeeX 4 9B (9B params) fits at each quantization level on Mac Studio M1 Ultra 128GB (92.2 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | B67 |
Q3_K_S | 3 | 4.4 GB | Low | B67 |
NVFP4 | 4 | 5.0 GB | Medium | B67 |
Q4_K_M | 4 | 5.5 GB | Medium | B67 |
Q5_K_M | 5 | 6.5 GB | High | B67 |
Q6_K | 6 | 7.4 GB | High | B67 |
Q8_0 | 8 | 9.6 GB | Very High | B67 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | B68 |
Copy-paste commands to run CodeGeeX 4 9B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "THUDM/codegeex4-all-9b" \
--hf-file "codegeex4-all-9b-Q4_K_M.gguf" \
-c 4096 -ngl 99Your hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Devstral 2 123B Instruct | 123B | S | 6 tok/s | |
 Qwen3-Coder 30B A3B Instruct | 30.5B | S | 66.5 tok/s | |
| Qwen 3.5 27B | 27B | S | 28.9 tok/s | |
| Qwen 3.6 27B | 27B | S | 21.9 tok/s | |
| Qwen 3.5 122B A10B | 122B | S | 27.4 tok/s |
Yes, Mac Studio M1 Ultra 128GB can run CodeGeeX 4 9B with a A grade (Runs well). Expected decode speed: 87.7 tok/s.
CodeGeeX 4 9B (9B parameters) requires approximately 20.8 GB of memory with Q4_K_M quantization.
The recommended quantization for CodeGeeX 4 9B is Q4_K_M, which balances quality and memory efficiency.
On Mac Studio M1 Ultra 128GB, CodeGeeX 4 9B achieves approximately 87.7 tokens per second decode speed with a time-to-first-token of 2209ms using Q4_K_M quantization.
For coding workloads, CodeGeeX 4 9B on Mac Studio M1 Ultra 128GB receives a A grade with 87.7 tok/s and 131K context.
On Mac Studio M1 Ultra 128GB, CodeGeeX 4 9B can safely use up to 131K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Not always. Mac Studio M1 Ultra 128GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/codegeex-4-9b-on-m1-ultra-128gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: