Sube la velocidad estimada de decodificación alrededor de un 222%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$9,999 MSRP
GGUF SOLARized GraniStral 14B 2102 YeAM HCT 32QKV needs ~17.8 GB VRAM. NVIDIA A16 64GB has 64.0 GB. With Q4_K_M quantization, expect ~55 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
54.8 tok/s
TTFT
3533 ms
Safe context
467K
Memory
17.8 GB / 64.0 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 | 54.8 tok/s | 1927 ms | 467K |
| Coding | C | Runs well | 54.8 tok/s | 3533 ms | 467K |
| Agentic Coding | C | Runs well | 54.8 tok/s | 5139 ms | 467K |
| Reasoning | C | Runs well | 54.8 tok/s | 4175 ms | 467K |
| RAG | C | Runs well | 54.8 tok/s | 6423 ms | 467K |
How GGUF SOLARized GraniStral 14B 2102 YeAM HCT 32QKV (14B params) fits at each quantization level on NVIDIA A16 64GB (64.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | C40 |
Q3_K_S | 3 | 6.9 GB | Low | C40 |
NVFP4 | 4 | 7.8 GB | Medium | C41 |
Q4_K_M | 4 | 8.5 GB | Medium | C41 |
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 | C42 |
F16Best for your GPU | 16 | 28.7 GB | Maximum | C45 |
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 startOpciones de mejora
Sube la velocidad estimada de decodificación alrededor de un 222%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$9,999 MSRP
Sube la velocidad estimada de decodificación alrededor de un 187%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$9,999 MSRP
Sube la velocidad estimada de decodificación alrededor de un 258%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$12,000 MSRP
Yes, NVIDIA A16 64GB can run GGUF SOLARized GraniStral 14B 2102 YeAM HCT 32QKV with a C grade (Runs well). Expected decode speed: 54.8 tok/s.
GGUF SOLARized GraniStral 14B 2102 YeAM HCT 32QKV (14B parameters) requires approximately 17.8 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 NVIDIA A16 64GB, GGUF SOLARized GraniStral 14B 2102 YeAM HCT 32QKV achieves approximately 54.8 tokens per second decode speed with a time-to-first-token of 3533ms using Q4_K_M quantization.
For coding workloads, GGUF SOLARized GraniStral 14B 2102 YeAM HCT 32QKV on NVIDIA A16 64GB receives a C grade with 54.8 tok/s and 467K context.
On NVIDIA A16 64GB, GGUF SOLARized GraniStral 14B 2102 YeAM HCT 32QKV can safely use up to 467K 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.
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