RX 7900 XT 20GBBest value
20 GB VRAM (+4)800 GB/s (+512)
C
Raises estimated decode speed by about 119%.73.5 tok/s decode
Raises estimated decode speed by about 119%.
Adds memory headroom for longer context windows and future model growth.
~$899 MSRP
SOLAR 10.7B v1.0 needs ~10.6 GB VRAM. RTX 2000 Ada 16GB has 16.0 GB. With Q4_K_M quantization, expect ~34 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
33.5 tok/s
TTFT
5773 ms
Safe context
85K
Memory
10.6 GB / 16.0 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 | 33.5 tok/s | 3149 ms | 85K |
| Coding | C | Runs well | 33.5 tok/s | 5773 ms | 85K |
| Agentic Coding | C | Runs well | 33.5 tok/s | 8397 ms | 85K |
| Reasoning | C | Runs well | 33.5 tok/s | 6823 ms | 85K |
| RAG | C | Runs well | 33.5 tok/s | 10497 ms | 85K |
How SOLAR 10.7B v1.0 (10.699999809265137B params) fits at each quantization level on RTX 2000 Ada 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.2 GB | Low | C48 |
Q3_K_S | 3 | 5.2 GB | Low | C49 |
NVFP4 | 4 | 6.0 GB | Medium | C49 |
Q4_K_M | 4 | 6.5 GB | Medium | C50 |
Q5_K_M | 5 | 7.7 GB | High | C51 |
Q6_K | 6 | 8.8 GB | High | C51 |
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 10.7B v1.0 on your machine.
Run
lms load hf-mradermacher--solar-10-7b-v1-0-gguf && lms server startUpgrade options
Raises estimated decode speed by about 119%.
Adds memory headroom for longer context windows and future model growth.
~$899 MSRP
RTX A4500 20GBBudget pickRaises estimated decode speed by about 128%.
Adds memory headroom for longer context windows and future model growth.
~$2,000 MSRP
Yes, RTX 2000 Ada 16GB can run SOLAR 10.7B v1.0 with a C grade (Runs well). Expected decode speed: 33.5 tok/s.
SOLAR 10.7B v1.0 (10.699999809265137B parameters) requires approximately 10.6 GB of memory with Q4_K_M quantization.
The recommended quantization for SOLAR 10.7B v1.0 is Q4_K_M, which balances quality and memory efficiency.
On RTX 2000 Ada 16GB, SOLAR 10.7B v1.0 achieves approximately 33.5 tokens per second decode speed with a time-to-first-token of 5773ms using Q4_K_M quantization.
For coding workloads, SOLAR 10.7B v1.0 on RTX 2000 Ada 16GB receives a C grade with 33.5 tok/s and 85K context.
On RTX 2000 Ada 16GB, SOLAR 10.7B v1.0 can safely use up to 85K 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-10-7b-v1-0-gguf-on-rtx-2000-ada-16gb" 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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