Can DeepSeek R1 Distill Qwen 14B run on NVIDIA H100 80GB?
YES — Runs Great
DeepSeek R1 Distill Qwen 14B needs ~19.4 GB VRAM. NVIDIA H100 80GB has 80.0 GB. With Q4_K_M quantization, expect ~196 tok/s.
Operating mode
Choose the run profile you care about
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
196.0 tok/s
TTFT
988 ms
Safe context
607K
Memory
19.4 GB / 80.0 GB
Memory breakdown
See how fast it feels
What limits this setup
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.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 196.0 tok/s | 539 ms | 607K |
| Coding | C | Runs well | 196.0 tok/s | 988 ms | 607K |
| Agentic Coding | C | Runs well | 196.0 tok/s | 1437 ms | 607K |
| Reasoning | C | Runs well | 196.0 tok/s | 1167 ms | 607K |
| RAG | C | Runs well | 196.0 tok/s | 1796 ms | 607K |
Quantization options
How DeepSeek R1 Distill Qwen 14B (14B params) fits at each quantization level on NVIDIA H100 80GB (80.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | D40 |
Q3_K_S | 3 | 6.9 GB | Low | D40 |
NVFP4 | 4 | 7.8 GB | Medium | C40 |
Q4_K_M | 4 | 8.5 GB | Medium | C40 |
Q5_K_M | 5 | 10.1 GB | High | C40 |
Q6_K | 6 | 11.5 GB | High | C40 |
Q8_0 | 8 | 15.0 GB | Very High | C41 |
F16Best for your GPU | 16 | 28.7 GB | Maximum | C43 |
Get started
Copy-paste commands to run DeepSeek R1 Distill Qwen 14B on your machine.
Run
lms load hf-unsloth--deepseek-r1-distill-qwen-14b-gguf && lms server startFrequently asked questions
Can NVIDIA H100 80GB run DeepSeek R1 Distill Qwen 14B?
Yes, NVIDIA H100 80GB can run DeepSeek R1 Distill Qwen 14B with a C grade (Runs well). Expected decode speed: 196.0 tok/s.
How much VRAM does DeepSeek R1 Distill Qwen 14B need?
DeepSeek R1 Distill Qwen 14B (14B parameters) requires approximately 19.4 GB of memory with Q4_K_M quantization.
What is the best quantization for DeepSeek R1 Distill Qwen 14B?
The recommended quantization for DeepSeek R1 Distill Qwen 14B is Q4_K_M, which balances quality and memory efficiency.
What speed will DeepSeek R1 Distill Qwen 14B run at on NVIDIA H100 80GB?
On NVIDIA H100 80GB, DeepSeek R1 Distill Qwen 14B achieves approximately 196.0 tokens per second decode speed with a time-to-first-token of 988ms using Q4_K_M quantization.
Can NVIDIA H100 80GB run DeepSeek R1 Distill Qwen 14B for coding?
For coding workloads, DeepSeek R1 Distill Qwen 14B on NVIDIA H100 80GB receives a C grade with 196.0 tok/s and 607K context.
What context window can DeepSeek R1 Distill Qwen 14B use on NVIDIA H100 80GB?
On NVIDIA H100 80GB, DeepSeek R1 Distill Qwen 14B can safely use up to 607K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
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