EXAONE 4.0 1.2B needs ~8.7 GB VRAM. Mac mini M4 64GB has 46.1 GB. With Q4_K_M quantization, expect ~17 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
16.8 tok/s
TTFT
11524 ms
Safe context
4.3M
Memory
8.7 GB / 46.1 GB
This setup is broadly balanced for this model.
Shared-memory contention still exists
The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 16.8 tok/s | 6286 ms | 3.0M |
| Coding | C | Runs well | 16.8 tok/s | 11524 ms | 4.3M |
| Agentic Coding | C | Runs well | 16.8 tok/s | 16762 ms | 4.3M |
| Reasoning | C | Runs well | 16.8 tok/s | 13619 ms | 4.3M |
| RAG | C | Runs well | 16.8 tok/s | 20952 ms | 4.3M |
How EXAONE 4.0 1.2B (1.2000000476837158B params) fits at each quantization level on Mac mini M4 64GB (46.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.5 GB | Low | C41 |
Q3_K_S | 3 | 0.6 GB | Low | C41 |
NVFP4 | 4 |
Copy-paste commands to run EXAONE 4.0 1.2B on your machine.
Run
lms load hf-lgai-exaone--exaone-4-0-1-2b-gguf && lms server startYes, Mac mini M4 64GB can run EXAONE 4.0 1.2B with a C grade (Runs well). Expected decode speed: 16.8 tok/s.
EXAONE 4.0 1.2B (1.2000000476837158B parameters) requires approximately 8.7 GB of memory with Q4_K_M quantization.
The recommended quantization for EXAONE 4.0 1.2B is Q4_K_M, which balances quality and memory efficiency.
On Mac mini M4 64GB, EXAONE 4.0 1.2B achieves approximately 16.8 tokens per second decode speed with a time-to-first-token of 11524ms using Q4_K_M quantization.
For coding workloads, EXAONE 4.0 1.2B on Mac mini M4 64GB receives a C grade with 16.8 tok/s and 4.3M context.
On Mac mini M4 64GB, EXAONE 4.0 1.2B can safely use up to 4.3M tokens of context. The model's official context limit is —, 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/hf-lgai-exaone--exaone-4-0-1-2b-gguf-on-m4-mini-64gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
0.7 GB |
| Medium |
| C41 |
Q4_K_M | 4 | 0.7 GB | Medium | C41 |
Q5_K_M | 5 | 0.9 GB | High | C41 |
Q6_K | 6 | 1.0 GB | High | C41 |
Q8_0 | 8 | 1.3 GB | Very High | C41 |
F16Best for your GPU | 16 | 2.5 GB | Maximum | C41 |
Not always. Mac mini M4 64GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.