solar finalised finetuned Model 10.7B i1 needs ~11.4 GB VRAM. Tesla P40 24GB has 24.0 GB. With Q4_K_M quantization, expect ~31 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
31.3 tok/s
TTFT
6190 ms
Safe context
177K
Memory
11.4 GB / 24.0 GB
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 31.3 tok/s | 3376 ms | 177K |
| Coding | C | Runs well | 31.3 tok/s | 6190 ms | 177K |
| Agentic Coding | C | Runs well | 31.3 tok/s | 9004 ms | 177K |
| Reasoning | C | Runs well | 31.3 tok/s | 7315 ms | 177K |
| RAG | C | Runs well | 31.3 tok/s | 11255 ms | 177K |
How solar finalised finetuned Model 10.7B i1 (10.699999809265137B params) fits at each quantization level on Tesla P40 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.2 GB | Low | C45 |
Q3_K_S | 3 | 5.2 GB | Low | C45 |
NVFP4 | 4 | 6.0 GB | Medium | C46 |
Q4_K_M | 4 | 6.5 GB | Medium | C46 |
Q5_K_M | 5 | 7.7 GB | High | C47 |
Q6_K | 6 | 8.8 GB | High | C47 |
Q8_0Best for your GPU | 8 | 11.4 GB | Very High | C49 |
F16 | 16 | 21.9 GB | Maximum | F0 |
Copy-paste commands to run solar finalised finetuned Model 10.7B i1 on your machine.
Run
lms load hf-mradermacher--solar-finalised-finetuned-model-10-7b-i1-gguf && lms server startOpciones de mejora
RTX 5090 32GBOpción económicaSube la velocidad estimada de decodificación alrededor de un 379%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$1,999 MSRP
RTX PRO 4500 Blackwell 32GBMejor relación calidad-precioSube la velocidad estimada de decodificación alrededor de un 268%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$2,499 MSRP
RTX 5000 Ada 32GBMejora NVIDIASube la velocidad estimada de decodificación alrededor de un 126%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$4,000 MSRP
Yes, Tesla P40 24GB can run solar finalised finetuned Model 10.7B i1 with a C grade (Runs well). Expected decode speed: 31.3 tok/s.
solar finalised finetuned Model 10.7B i1 (10.699999809265137B parameters) requires approximately 11.4 GB of memory with Q4_K_M quantization.
The recommended quantization for solar finalised finetuned Model 10.7B i1 is Q4_K_M, which balances quality and memory efficiency.
On Tesla P40 24GB, solar finalised finetuned Model 10.7B i1 achieves approximately 31.3 tokens per second decode speed with a time-to-first-token of 6190ms using Q4_K_M quantization.
For coding workloads, solar finalised finetuned Model 10.7B i1 on Tesla P40 24GB receives a C grade with 31.3 tok/s and 177K context.
On Tesla P40 24GB, solar finalised finetuned Model 10.7B i1 can safely use up to 177K 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-mradermacher--solar-finalised-finetuned-model-10-7b-i1-gguf-on-tesla-p40-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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