SOLAR 10.7B Instruct v1.0 uncensored needs ~10.6 GB VRAM. RTX 6000 Ada Laptop 16GB has 16.0 GB. With Q4_K_M quantization, expect ~64 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
64.4 tok/s
TTFT
3005 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 | 64.4 tok/s | 1639 ms | 85K |
| Coding | C | Runs well | 64.4 tok/s | 3005 ms | 85K |
| Agentic Coding | B | Runs well | 64.4 tok/s | 4371 ms | 85K |
| Reasoning | C | Runs well | 64.4 tok/s | 3552 ms | 85K |
| RAG | B | Runs well | 64.4 tok/s | 5464 ms | 85K |
How SOLAR 10.7B Instruct v1.0 uncensored (10.699999809265137B params) fits at each quantization level on RTX 6000 Ada Laptop 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 | C50 |
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 | C51 |
F16 | 16 | 21.9 GB | Maximum | F0 |
Copy-paste commands to run SOLAR 10.7B Instruct v1.0 uncensored on your machine.
Run
lms load hf-thebloke--solar-10-7b-instruct-v1-0-uncensored-gguf && lms server startYes, RTX 6000 Ada Laptop 16GB can run SOLAR 10.7B Instruct v1.0 uncensored with a C grade (Runs well). Expected decode speed: 64.4 tok/s.
SOLAR 10.7B Instruct v1.0 uncensored (10.699999809265137B parameters) requires approximately 10.6 GB of memory with Q4_K_M quantization.
The recommended quantization for SOLAR 10.7B Instruct v1.0 uncensored is Q4_K_M, which balances quality and memory efficiency.
On RTX 6000 Ada Laptop 16GB, SOLAR 10.7B Instruct v1.0 uncensored achieves approximately 64.4 tokens per second decode speed with a time-to-first-token of 3005ms using Q4_K_M quantization.
For coding workloads, SOLAR 10.7B Instruct v1.0 uncensored on RTX 6000 Ada Laptop 16GB receives a C grade with 64.4 tok/s and 85K context.
On RTX 6000 Ada Laptop 16GB, SOLAR 10.7B Instruct v1.0 uncensored 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-thebloke--solar-10-7b-instruct-v1-0-uncensored-gguf-on-rtx-6000-ada-laptop-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: