Qwen3 8B DeepSeek v3.2 Speciale Distill needs ~8.6 GB VRAM. Tesla P100 16GB has 16.0 GB. With Q4_K_M quantization, expect ~89 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
88.5 tok/s
TTFT
2188 ms
Safe context
142K
Memory
8.6 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 | 88.5 tok/s | 1193 ms | 142K |
| Coding | C | Runs well | 88.5 tok/s | 2188 ms | 142K |
| Agentic Coding | C | Runs well | 88.5 tok/s | 3182 ms | 142K |
| Reasoning | C | Runs well | 88.5 tok/s | 2585 ms | 142K |
| RAG | C | Runs well | 88.5 tok/s | 3977 ms | 142K |
How Qwen3 8B DeepSeek v3.2 Speciale Distill (8B params) fits at each quantization level on Tesla P100 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | C47 |
Q3_K_S | 3 | 3.9 GB | Low | C48 |
NVFP4 | 4 | 4.5 GB | Medium | C48 |
Q4_K_M | 4 | 4.9 GB | Medium | C49 |
Q5_K_M | 5 | 5.8 GB | High | C50 |
Q6_K | 6 | 6.6 GB | High | C50 |
Q8_0Best for your GPU | 8 | 8.6 GB | Very High | C51 |
F16 | 16 | 16.4 GB | Maximum | F0 |
Copy-paste commands to run Qwen3 8B DeepSeek v3.2 Speciale Distill on your machine.
Run
lms load hf-teichai--qwen3-8b-deepseek-v3-2-speciale-distill-gguf && lms server startYes, Tesla P100 16GB can run Qwen3 8B DeepSeek v3.2 Speciale Distill with a C grade (Runs well). Expected decode speed: 88.5 tok/s.
Qwen3 8B DeepSeek v3.2 Speciale Distill (8B parameters) requires approximately 8.6 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen3 8B DeepSeek v3.2 Speciale Distill is Q4_K_M, which balances quality and memory efficiency.
On Tesla P100 16GB, Qwen3 8B DeepSeek v3.2 Speciale Distill achieves approximately 88.5 tokens per second decode speed with a time-to-first-token of 2188ms using Q4_K_M quantization.
For coding workloads, Qwen3 8B DeepSeek v3.2 Speciale Distill on Tesla P100 16GB receives a C grade with 88.5 tok/s and 142K context.
On Tesla P100 16GB, Qwen3 8B DeepSeek v3.2 Speciale Distill can safely use up to 142K 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-teichai--qwen3-8b-deepseek-v3-2-speciale-distill-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: