CodeGeeX 4 9B needs ~7.8 GB VRAM. RX 7600 8GB has 8.0 GB. With Q4_K_M quantization, expect ~30 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 with offload
Decode
33.3 tok/s
TTFT
5818 ms
Safe context
21K
Memory
7.8 GB / 8.0 GB
This setup is broadly balanced for this model.
Very little memory headroom
You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Tight fit | 30.4 tok/s | 3471 ms | 21K |
| Coding | A | Runs with offload | 30.4 tok/s | 6363 ms | 21K |
| Agentic Coding | A | Runs with offload | 20.5 tok/s | 13712 ms | 21K |
| Reasoning | A | Runs with offload | 30.4 tok/s | 7520 ms | 21K |
| RAG | A | Runs with offload | 20.5 tok/s | 17140 ms | 21K |
How CodeGeeX 4 9B (9B params) fits at each quantization level on RX 7600 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | A81 |
Q3_K_S | 3 | 4.4 GB | Low | A81 |
NVFP4Best for your GPU |
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 99Yes, RX 7600 8GB can run CodeGeeX 4 9B with a A grade (Runs with offload). Expected decode speed: 30.4 tok/s.
CodeGeeX 4 9B (9B parameters) requires approximately 7.8 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 RX 7600 8GB, CodeGeeX 4 9B achieves approximately 30.4 tokens per second decode speed with a time-to-first-token of 6363ms using Q4_K_M quantization.
For coding workloads, CodeGeeX 4 9B on RX 7600 8GB receives a A grade with 30.4 tok/s and 21K context.
On RX 7600 8GB, CodeGeeX 4 9B can safely use up to 21K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/codegeex-4-9b-on-rx-7600-8gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
| 4 |
5.0 GB |
| Medium |
| A81 |
Q4_K_M | 4 | 5.5 GB | Medium | F0 |
Q5_K_M | 5 | 6.5 GB | High | F0 |
Q6_K | 6 | 7.4 GB | High | F0 |
Q8_0 | 8 | 9.6 GB | Very High | F0 |
F16 | 16 | 18.5 GB | Maximum | F0 |