LFM2 24B needs ~21.2 GB VRAM. AMD Instinct MI60 32GB has 32.0 GB. With Q4_K_M quantization, expect ~37 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
36.8 tok/s
TTFT
5255 ms
Safe context
87K
Memory
21.2 GB / 32.0 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 | S | Runs well | 36.8 tok/s | 2866 ms | 87K |
| Coding | S | Runs well | 36.8 tok/s | 5255 ms | 87K |
| Agentic Coding | S | Runs well | 36.8 tok/s | 7643 ms | 87K |
| Reasoning | S | Runs well | 36.8 tok/s | 6210 ms | 87K |
| RAG | S | Runs well | 36.8 tok/s | 9554 ms | 87K |
How LFM2 24B (24B params) fits at each quantization level on AMD Instinct MI60 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 9.4 GB | Low | A79 |
Q3_K_S | 3 | 11.8 GB | Low | A80 |
NVFP4 | 4 |
Copy-paste commands to run LFM2 24B on your machine.
Run
ollama run lfm2Your hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 75.9 tok/s | ||
| 27B | S | 32.9 tok/s |
Yes, AMD Instinct MI60 32GB can run LFM2 24B with a S grade (Runs well). Expected decode speed: 36.8 tok/s.
LFM2 24B (24B parameters) requires approximately 21.2 GB of memory with Q4_K_M quantization.
The recommended quantization for LFM2 24B is Q4_K_M, which balances quality and memory efficiency.
On AMD Instinct MI60 32GB, LFM2 24B achieves approximately 36.8 tokens per second decode speed with a time-to-first-token of 5255ms using Q4_K_M quantization.
For coding workloads, LFM2 24B on AMD Instinct MI60 32GB receives a S grade with 36.8 tok/s and 87K context.
On AMD Instinct MI60 32GB, LFM2 24B can safely use up to 87K tokens of context. The model's official context limit is 131K, 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/lfm2-24b-on-instinct-mi60-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
13.4 GB |
| Medium |
| A81 |
Q4_K_M | 4 | 14.6 GB | Medium | A82 |
Q5_K_M | 5 | 17.3 GB | High | A83 |
Q6_K | 6 | 19.7 GB | High | A82 |
Q8_0Best for your GPU | 8 | 25.7 GB | Very High | A82 |
F16 | 16 | 49.2 GB | Maximum | F0 |
| 27B | S | 20.5 tok/s |
| 35B | S | 63.8 tok/s |
| 30B | S | 78.5 tok/s |