SOLAR 10.7B Instruct v1.0 uncensored needs ~13.8 GB VRAM. NVIDIA A40 48GB has 48.0 GB. With Q4_K_M quantization, expect ~83 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
83.2 tok/s
TTFT
2328 ms
Safe context
453K
Memory
13.8 GB / 48.0 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 | 83.2 tok/s | 1270 ms | 453K |
| Coding | C | Runs well | 83.2 tok/s | 2328 ms | 453K |
| Agentic Coding | C | Runs well | 83.2 tok/s | 3386 ms | 453K |
| Reasoning | C | Runs well | 83.2 tok/s | 2751 ms | 453K |
| RAG | C | Runs well | 83.2 tok/s | 4232 ms | 453K |
How SOLAR 10.7B Instruct v1.0 uncensored (10.699999809265137B params) fits at each quantization level on NVIDIA A40 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.2 GB | Low | C41 |
Q3_K_S | 3 | 5.2 GB | Low | C42 |
NVFP4 | 4 | 6.0 GB | Medium | C42 |
Q4_K_M | 4 | 6.5 GB | Medium | C42 |
Q5_K_M | 5 | 7.7 GB | High | C42 |
Q6_K | 6 | 8.8 GB | High | C42 |
Q8_0 | 8 | 11.4 GB | Very High | C43 |
F16Best for your GPU | 16 | 21.9 GB | Maximum | C46 |
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, NVIDIA A40 48GB can run SOLAR 10.7B Instruct v1.0 uncensored with a C grade (Runs well). Expected decode speed: 83.2 tok/s.
SOLAR 10.7B Instruct v1.0 uncensored (10.699999809265137B parameters) requires approximately 13.8 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 NVIDIA A40 48GB, SOLAR 10.7B Instruct v1.0 uncensored achieves approximately 83.2 tokens per second decode speed with a time-to-first-token of 2328ms using Q4_K_M quantization.
For coding workloads, SOLAR 10.7B Instruct v1.0 uncensored on NVIDIA A40 48GB receives a C grade with 83.2 tok/s and 453K context.
On NVIDIA A40 48GB, SOLAR 10.7B Instruct v1.0 uncensored can safely use up to 453K 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-a40-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: