solar finalised finetuned Model 10.7B i1 needs ~11.0 GB VRAM. RTX A4500 20GB has 20.0 GB. With Q4_K_M quantization, expect ~77 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
76.5 tok/s
TTFT
2531 ms
Safe context
131K
Memory
11.0 GB / 20.0 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 | 76.5 tok/s | 1381 ms | 131K |
| Coding | C | Runs well | 76.5 tok/s | 2531 ms | 131K |
| Agentic Coding | C | Runs well | 76.5 tok/s | 3682 ms | 131K |
| Reasoning | C | Runs well | 76.5 tok/s | 2992 ms | 131K |
| RAG | C | Runs well | 76.5 tok/s | 4602 ms | 131K |
How solar finalised finetuned Model 10.7B i1 (10.699999809265137B params) fits at each quantization level on RTX A4500 20GB (20.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.2 GB | Low | C46 |
Q3_K_S | 3 | 5.2 GB | Low | C47 |
NVFP4 | 4 | 6.0 GB | Medium | C47 |
Q4_K_M | 4 | 6.5 GB | Medium | C48 |
Q5_K_M | 5 | 7.7 GB | High | C49 |
Q6_K | 6 | 8.8 GB | High | C49 |
Q8_0Best for your GPU | 8 | 11.4 GB | Very High | C50 |
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 A4500 20GB can run solar finalised finetuned Model 10.7B i1 with a C grade (Runs well). Expected decode speed: 76.5 tok/s.
solar finalised finetuned Model 10.7B i1 (10.699999809265137B parameters) requires approximately 11.0 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 A4500 20GB, solar finalised finetuned Model 10.7B i1 achieves approximately 76.5 tokens per second decode speed with a time-to-first-token of 2531ms using Q4_K_M quantization.
For coding workloads, solar finalised finetuned Model 10.7B i1 on RTX A4500 20GB receives a C grade with 76.5 tok/s and 131K context.
On RTX A4500 20GB, solar finalised finetuned Model 10.7B i1 can safely use up to 131K 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-rtx-a4500-20gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: