GGUF SOLARized GraniStral 14B 1902 YeAM HCT needs ~21.0 GB VRAM. RTX PRO 6000 Blackwell Workstation Edition 96GB has 96.0 GB. With Q4_K_M quantization, expect ~176 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
176.3 tok/s
TTFT
1098 ms
Safe context
748K
Memory
21.0 GB / 96.0 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 | C | Runs well | 176.3 tok/s | 599 ms | 748K |
| Coding | C | Runs well | 176.3 tok/s | 1098 ms | 748K |
| Agentic Coding | C | Runs well | 176.3 tok/s | 1598 ms | 748K |
| Reasoning | C | Runs well | 176.3 tok/s | 1298 ms | 748K |
| RAG | C | Runs well | 176.3 tok/s | 1997 ms | 748K |
Inference speed
Estimated decode speed (tokens/sec) for GGUF SOLARized GraniStral 14B 1902 YeAM HCT at Q4_K_M across popular GPUs and Apple Silicon, using the fastest local runtime per device. Fastest is RTX 5090 32GB at ~141 tok/s. Speed is memory-bandwidth bound, so cards that fit the whole model in VRAM run far faster than ones that offload to system RAM.
| GPU / Mac | Memory | Quant | Speed (tok/s) | Fits? |
|---|---|---|---|---|
| 32 GB | Q4_K_M | 140.6 | Fits | |
| 24 GB | Q4_K_M | 89.7 | Fits | |
RX 7900 XTX 24GB | 24 GB | Q4_K_M | 80.9 | Fits |
| 24 GB | Q4_K_M | 76.7 | Fits | |
| 16 GB | Q4_K_M | 75.1 | Fits | |
Mac Studio M3 Ultra 256GB | 256 GB | Q4_K_M | 65.2 | Fits |
Mac Studio M2 Ultra 128GB | 128 GB | Q4_K_M | 54.3 | Fits |
Mac Studio M1 Ultra 128GB | 128 GB | Q4_K_M | 51.5 | Fits |
MacBook Pro M4 Max 128GB | 128 GB | Q4_K_M | 35.4 | Fits |
MacBook Pro M4 Max 64GB | 64 GB | Q4_K_M | 35.4 | Fits |
| 12 GB | Q4_K_M | 33.2 | Offloads | |
MacBook Pro M3 Max 64GB | 64 GB | Q4_K_M | 28.1 | Fits |
MacBook Pro M1 Max 64GB | 64 GB | Q4_K_M | 25.8 | Fits |
MacBook Pro M4 Pro 48GB | 48 GB | Q4_K_M | 21.7 | Fits |
| 12 GB | Q4_K_M | 19.5 | Offloads | |
| 8 GB | Q4_K_M | 7.2 | Too big |
Estimates for single-stream decoding at Q4_K_M; real tokens/sec varies with prompt length, context, batch size, and runtime build. Prompt processing (prefill) is faster than the decode figures shown here.
How GGUF SOLARized GraniStral 14B 1902 YeAM HCT (14B params) fits at each quantization level on RTX PRO 6000 Blackwell Workstation Edition 96GB (96.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | D39 |
Q3_K_S | 3 | 6.9 GB | Low | D39 |
NVFP4 | 4 | 7.8 GB | Medium | D39 |
Q4_K_M | 4 | 8.5 GB | Medium | D39 |
Q5_K_M | 5 | 10.1 GB | High | D39 |
Q6_K | 6 | 11.5 GB | High | D39 |
Q8_0 | 8 | 15.0 GB | Very High | D39 |
F16Best for your GPU | 16 | 28.7 GB | Maximum | C41 |
Copy-paste commands to run GGUF SOLARized GraniStral 14B 1902 YeAM HCT on your machine.
Run
lms load hf-srs6901--gguf-solarized-granistral-14b-1902-yeam-hct && lms server startYes, RTX PRO 6000 Blackwell Workstation Edition 96GB can run GGUF SOLARized GraniStral 14B 1902 YeAM HCT with a C grade (Runs well). Expected decode speed: 176.3 tok/s.
GGUF SOLARized GraniStral 14B 1902 YeAM HCT (14B parameters) requires approximately 21.0 GB of memory with Q4_K_M quantization.
The recommended quantization for GGUF SOLARized GraniStral 14B 1902 YeAM HCT is Q4_K_M, which balances quality and memory efficiency.
On RTX PRO 6000 Blackwell Workstation Edition 96GB, GGUF SOLARized GraniStral 14B 1902 YeAM HCT achieves approximately 176.3 tokens per second decode speed with a time-to-first-token of 1098ms using Q4_K_M quantization.
For coding workloads, GGUF SOLARized GraniStral 14B 1902 YeAM HCT on RTX PRO 6000 Blackwell Workstation Edition 96GB receives a C grade with 176.3 tok/s and 748K context.
On RTX PRO 6000 Blackwell Workstation Edition 96GB, GGUF SOLARized GraniStral 14B 1902 YeAM HCT can safely use up to 748K 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-srs6901--gguf-solarized-granistral-14b-1902-yeam-hct-on-rtx-pro-6000-blackwell-96gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: