solar finalised finetuned Model 10.7B i1 needs ~11.4 GB VRAM. Quadro RTX 6000 24GB has 24.0 GB. With Q4_K_M quantization, expect ~71 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
71.0 tok/s
TTFT
2725 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 | 71.0 tok/s | 1486 ms | 177K |
| Coding | C | Runs well | 71.0 tok/s | 2725 ms | 177K |
| Agentic Coding | C | Runs well | 71.0 tok/s | 3964 ms | 177K |
| Reasoning | C | Runs well | 71.0 tok/s | 3221 ms | 177K |
| RAG | C | Runs well | 71.0 tok/s | 4955 ms | 177K |
How solar finalised finetuned Model 10.7B i1 (10.699999809265137B params) fits at each quantization level on Quadro RTX 6000 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 |
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 startYes, Quadro RTX 6000 24GB can run solar finalised finetuned Model 10.7B i1 with a C grade (Runs well). Expected decode speed: 71.0 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 Quadro RTX 6000 24GB, solar finalised finetuned Model 10.7B i1 achieves approximately 71.0 tokens per second decode speed with a time-to-first-token of 2725ms using Q4_K_M quantization.
For coding workloads, solar finalised finetuned Model 10.7B i1 on Quadro RTX 6000 24GB receives a C grade with 71.0 tok/s and 177K context.
On Quadro RTX 6000 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-quadro-rtx-6000-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
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 |