Can Desktop PC · Intel Arc B580 · 32 GB RAM run LFM2.5 24B-A2B?
12 GB VRAM + 32 GB RAM · 456 GB/s memory bandwidth · LFM2.5 24B-A2B has 24B parameters (2B active per token).
Short answer
It loads, but it's borderline even for chat.
Best quantization for chat: Q4_K_M (14 GB of weights) on LM Studio. Generation: 65–85 tok/s, leaving about 0.0 GB free for your other apps.
How it rates for each workload
Same model and machine, different jobs. Agents and long documents send far bigger prompts than chat, so they need much more speed and memory.
| Workload | Verdict | Quant | Generation | First reply | Context | |
|---|---|---|---|---|---|---|
| Chatwith Open WebUI | Borderline | Q4_K_M | 65–85 tok/s | ≈1 s | 8K | Details |
| Coding questionswith Continue | Borderline | Q4_K_M | 60–80 tok/s | ≈6 s | 16K | Details |
| Coding in a repositorywith Aider | Borderline | Q4_K_M | 50–65 tok/s | ≈20 s | 32K | Details |
| Agentic codingwith OpenCode | Borderline | Q4_K_M | 45–60 tok/s | ≈25 s | 32K | Details |
| Long documents (64K)with Open WebUI | Borderline | Q4_K_M | 30–40 tok/s | ≈85 s | 64K | Details |
Speeds are estimates calibrated against measured benchmarks on similar hardware. “First reply” is the time to read the workload’s opening prompt. How we calculate
Other models for Desktop PC · Intel Arc B580 · 32 GB RAM
The best-rated models for chat on this machine.
- MiniCPM5 2B80–110 tok/sExcellent
- Qwen3.5 9B30–35 tok/sExcellent
- Qwen3.5 4B50–70 tok/sExcellent
- Gemma 4 12B25–35 tok/sExcellent
- GLM-4.6V-Flash (10B)30–40 tok/sExcellent
- Qwen3 8B30–40 tok/sExcellent
Cheapest machines for LFM2.5 24B-A2B
Hardware rated comfortable or better for chat, lowest price first.
- Mac mini M4 24 GB$999 · 45–60 tok/sComfortable
- Mac mini M6 24 GB$1,299 · 50–85 tok/sComfortable
- Laptop · Ryzen AI 9 HX 370 (Radeon 890M) · 32 GB$1,300 · 35–60 tok/sExcellent
- Laptop · Core Ultra 7 258V (Arc 140V) · 32 GB$1,300 · 30–50 tok/sExcellent
- Mac mini M4 32 GB$1,399 · 45–60 tok/sExcellent
- MacBook Air M4 24 GB$1,399 · 45–60 tok/sComfortable
Different tool, context size or workload?
These pages use typical settings. The full check models your exact setup.