GGUF SOLARized GraniStral 14B 2102 YeAM HCT 32QKV needs ~21.4 GB VRAM. Mac Studio M3 Ultra 96GB has 69.1 GB. With Q4_K_M quantization, expect ~65 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
65.2 tok/s
TTFT
2969 ms
Safe context
481K
Memory
21.4 GB / 69.1 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 | 65.2 tok/s | 1619 ms | 481K |
| Coding | C | Runs well | 65.2 tok/s | 2969 ms | 481K |
| Agentic Coding | C | Runs well | 65.2 tok/s | 4318 ms | 481K |
| Reasoning | C | Runs well | 65.2 tok/s | 3508 ms | 481K |
| RAG | C | Runs well | 65.2 tok/s | 5398 ms | 481K |
How GGUF SOLARized GraniStral 14B 2102 YeAM HCT 32QKV (14B params) fits at each quantization level on Mac Studio M3 Ultra 96GB (69.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | D40 |
Q3_K_S | 3 | 6.9 GB | Low | C40 |
NVFP4 | 4 | 7.8 GB | Medium | C40 |
Q4_K_M | 4 | 8.5 GB | Medium | C40 |
Q5_K_M | 5 | 10.1 GB | High | C41 |
Q6_K | 6 | 11.5 GB | High | C41 |
Q8_0 | 8 | 15.0 GB | Very High | C41 |
F16Best for your GPU | 16 | 28.7 GB | Maximum | C44 |
Copy-paste commands to run GGUF SOLARized GraniStral 14B 2102 YeAM HCT 32QKV on your machine.
Run
lms load hf-srs6901--gguf-solarized-granistral-14b-2102-yeam-hct-32qkv && lms server startYes, Mac Studio M3 Ultra 96GB can run GGUF SOLARized GraniStral 14B 2102 YeAM HCT 32QKV with a C grade (Runs well). Expected decode speed: 65.2 tok/s.
GGUF SOLARized GraniStral 14B 2102 YeAM HCT 32QKV (14B parameters) requires approximately 21.4 GB of memory with Q4_K_M quantization.
The recommended quantization for GGUF SOLARized GraniStral 14B 2102 YeAM HCT 32QKV is Q4_K_M, which balances quality and memory efficiency.
On Mac Studio M3 Ultra 96GB, GGUF SOLARized GraniStral 14B 2102 YeAM HCT 32QKV achieves approximately 65.2 tokens per second decode speed with a time-to-first-token of 2969ms using Q4_K_M quantization.
For coding workloads, GGUF SOLARized GraniStral 14B 2102 YeAM HCT 32QKV on Mac Studio M3 Ultra 96GB receives a C grade with 65.2 tok/s and 481K context.
On Mac Studio M3 Ultra 96GB, GGUF SOLARized GraniStral 14B 2102 YeAM HCT 32QKV can safely use up to 481K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Not always. Mac Studio M3 Ultra 96GB 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.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/hf-srs6901--gguf-solarized-granistral-14b-2102-yeam-hct-32qkv-on-m3-ultra-96gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: