solar finalised finetuned Model 10.7B i1 needs ~11.4 GB VRAM. RTX A5000 24GB has 24.0 GB. With Q4_K_M quantization, expect ~82 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
82.4 tok/s
TTFT
2350 ms
Safe context
177K
Memory
11.4 GB / 24.0 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 | 82.4 tok/s | 1282 ms | 177K |
| Coding | C | Runs well | 82.4 tok/s | 2350 ms | 177K |
| Agentic Coding | C | Runs well | 82.4 tok/s | 3419 ms | 177K |
| Reasoning | C | Runs well | 82.4 tok/s | 2778 ms | 177K |
| RAG | C | Runs well | 82.4 tok/s | 4274 ms | 177K |
How solar finalised finetuned Model 10.7B i1 (10.699999809265137B params) fits at each quantization level on RTX A5000 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 startYes, RTX A5000 24GB can run solar finalised finetuned Model 10.7B i1 with a C grade (Runs well). Expected decode speed: 82.4 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 RTX A5000 24GB, solar finalised finetuned Model 10.7B i1 achieves approximately 82.4 tokens per second decode speed with a time-to-first-token of 2350ms using Q4_K_M quantization.
For coding workloads, solar finalised finetuned Model 10.7B i1 on RTX A5000 24GB receives a C grade with 82.4 tok/s and 177K context.
On RTX A5000 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-a5000-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: