glm 4 9b chat 1m needs ~9.3 GB VRAM. Tesla P100 16GB has 16.0 GB. With Q4_K_M quantization, expect ~79 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
78.7 tok/s
TTFT
2461 ms
Safe context
117K
Memory
9.3 GB / 16.0 GB
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 78.7 tok/s | 1342 ms | 117K |
| Coding | C | Runs well | 78.7 tok/s | 2461 ms | 117K |
| Agentic Coding | B | Runs well | 78.7 tok/s | 3580 ms | 117K |
| Reasoning | C | Runs well | 78.7 tok/s | 2908 ms | 117K |
| RAG | B | Runs well | 78.7 tok/s | 4475 ms | 117K |
How glm 4 9b chat 1m (9B params) fits at each quantization level on Tesla P100 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, Tesla P100 16GB can run glm 4 9b chat 1m with a C grade (Runs well). Expected decode speed: 78.7 tok/s.
glm 4 9b chat 1m (9B parameters) requires approximately 9.3 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 Tesla P100 16GB, glm 4 9b chat 1m achieves approximately 78.7 tokens per second decode speed with a time-to-first-token of 2461ms using Q4_K_M quantization.
For coding workloads, glm 4 9b chat 1m on Tesla P100 16GB receives a C grade with 78.7 tok/s and 117K context.
On Tesla P100 16GB, glm 4 9b chat 1m can safely use up to 117K 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-tesla-p100-16gb" 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 |