Kimi Linear 48B A3B needs ~58.2 GB VRAM. AMD Instinct MI325X 256GB has 256.0 GB. With Q4_K_M quantization, expect ~120 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
119.7 tok/s
TTFT
1618 ms
Safe context
1.0M
Memory
58.2 GB / 256.0 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 | 119.7 tok/s | 882 ms | 1.0M |
| Coding | A | Runs well | 119.7 tok/s | 1618 ms | 1.0M |
| Agentic Coding | A | Runs well | 119.7 tok/s | 2353 ms | 1.0M |
| Reasoning | A | Runs well | 119.7 tok/s | 1912 ms | 1.0M |
| RAG | A | Runs well | 119.7 tok/s | 2941 ms | 1.0M |
How Kimi Linear 48B A3B (48B params) fits at each quantization level on AMD Instinct MI325X 256GB (256.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 18.7 GB | Low | B69 |
Q3_K_S | 3 | 23.5 GB | Low | B70 |
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 | 50.8 tok/s | ||
| 122B | S |
Yes, AMD Instinct MI325X 256GB can run Kimi Linear 48B A3B with a A grade (Runs well). Expected decode speed: 119.7 tok/s.
Kimi Linear 48B A3B (48B parameters) requires approximately 58.2 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 AMD Instinct MI325X 256GB, Kimi Linear 48B A3B achieves approximately 119.7 tokens per second decode speed with a time-to-first-token of 1618ms using Q4_K_M quantization.
For coding workloads, Kimi Linear 48B A3B on AMD Instinct MI325X 256GB receives a A grade with 119.7 tok/s and 1.0M context.
On AMD Instinct MI325X 256GB, 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-instinct-mi325x-256gb" 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 |
| B70 |
Q4_K_M | 4 | 29.3 GB | Medium | A70 |
Q5_K_M | 5 | 34.6 GB | High | A71 |
Q6_K | 6 | 39.4 GB | High | A71 |
Q8_0 | 8 | 51.4 GB | Very High | A72 |
F16Best for your GPU | 16 | 98.4 GB | Maximum | A76 |
| 133.8 tok/s |
| 284B | S | 71.7 tok/s |
| 119B | S | 145.1 tok/s |
| 117B | S | 53.4 tok/s |