glm 4 9b chat 1m needs ~9.0 GB VRAM. RX 9070 XT 16GB has 16.0 GB. With Q4_K_M quantization, expect ~75 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
74.6 tok/s
TTFT
2595 ms
Safe context
122K
Memory
9.0 GB / 16.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 74.6 tok/s | 1415 ms | 122K |
| Coding | C | Runs well | 74.6 tok/s | 2595 ms | 122K |
| Agentic Coding | C | Runs well | 74.6 tok/s | 3774 ms | 122K |
| Reasoning | C | Runs well | 74.6 tok/s | 3067 ms | 122K |
| RAG | C | Runs well | 74.6 tok/s | 4718 ms | 122K |
How glm 4 9b chat 1m (9B params) fits at each quantization level on RX 9070 XT 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | C47 |
Q3_K_S | 3 | 4.4 GB | Low | C48 |
NVFP4 | 4 |
Copy-paste commands to run glm 4 9b chat 1m on your machine.
Run
lms load hf-bartowski--glm-4-9b-chat-1m-gguf && lms server startYes, RX 9070 XT 16GB can run glm 4 9b chat 1m with a C grade (Runs well). Expected decode speed: 74.6 tok/s.
glm 4 9b chat 1m (9B parameters) requires approximately 9.0 GB of memory with Q4_K_M quantization.
The recommended quantization for glm 4 9b chat 1m is Q4_K_M, which balances quality and memory efficiency.
On RX 9070 XT 16GB, glm 4 9b chat 1m achieves approximately 74.6 tokens per second decode speed with a time-to-first-token of 2595ms using Q4_K_M quantization.
For coding workloads, glm 4 9b chat 1m on RX 9070 XT 16GB receives a C grade with 74.6 tok/s and 122K context.
On RX 9070 XT 16GB, glm 4 9b chat 1m can safely use up to 122K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/hf-bartowski--glm-4-9b-chat-1m-gguf-on-rx-9070-xt-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
5.0 GB |
| Medium |
| C49 |
Q4_K_M | 4 | 5.5 GB | Medium | C49 |
Q5_K_M | 5 | 6.5 GB | High | C50 |
Q6_K | 6 | 7.4 GB | High | C51 |
Q8_0Best for your GPU | 8 | 9.6 GB | Very High | C51 |
F16 | 16 | 18.5 GB | Maximum | F0 |