Kimi Linear 48B A3B needs ~46.7 GB VRAM. NVIDIA H200 141GB has 141.0 GB. With Q4_K_M quantization, expect ~110 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
110.2 tok/s
TTFT
1757 ms
Safe context
1.0M
Memory
46.7 GB / 141.0 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 | A | Runs well | 110.2 tok/s | 959 ms | 1.0M |
| Coding | A | Runs well | 110.2 tok/s | 1757 ms | 1.0M |
| Agentic Coding | A | Runs well | 110.2 tok/s | 2556 ms | 1.0M |
| Reasoning | A | Runs well | 110.2 tok/s | 2077 ms | 1.0M |
| RAG | A | Runs well | 110.2 tok/s | 3195 ms | 1.0M |
How Kimi Linear 48B A3B (48B params) fits at each quantization level on NVIDIA H200 141GB (141.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 18.7 GB | Low | A71 |
Q3_K_S | 3 | 23.5 GB | Low | A71 |
NVFP4 | 4 |
Copy-paste commands to run Kimi Linear 48B A3B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "moonshotai/Kimi-Linear-48B-A3B-Instruct" \
--hf-file "Kimi-Linear-48B-A3B-Instruct-Q4_K_M.gguf" \
-c 4096 -ngl 99Your hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 123B | S | 46.8 tok/s | ||
| 122B | S |
Yes, NVIDIA H200 141GB can run Kimi Linear 48B A3B with a A grade (Runs well). Expected decode speed: 110.2 tok/s.
Kimi Linear 48B A3B (48B parameters) requires approximately 46.7 GB of memory with Q4_K_M quantization.
The recommended quantization for Kimi Linear 48B A3B is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA H200 141GB, Kimi Linear 48B A3B achieves approximately 110.2 tokens per second decode speed with a time-to-first-token of 1757ms using Q4_K_M quantization.
For coding workloads, Kimi Linear 48B A3B on NVIDIA H200 141GB receives a A grade with 110.2 tok/s and 1.0M context.
On NVIDIA H200 141GB, Kimi Linear 48B A3B can safely use up to 1.0M tokens of context. The model's official context limit is 1.0M, 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/kimi-linear-48b-a3b-on-h200-141gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
26.9 GB |
| Medium |
| A72 |
Q4_K_M | 4 | 29.3 GB | Medium | A72 |
Q5_K_M | 5 | 34.6 GB | High | A73 |
Q6_K | 6 | 39.4 GB | High | A74 |
Q8_0 | 8 | 51.4 GB | Very High | A76 |
F16Best for your GPU | 16 | 98.4 GB | Maximum | A80 |
| 88.7 tok/s |
| 119B | S | 96.2 tok/s |
| 117B | S | 49.2 tok/s |
| 111B | S | 52 tok/s |