SOLAR 10.7B Instruct v1.0 uncensored needs ~11.4 GB VRAM. RTX 3090 24GB has 24.0 GB. With Q4_K_M quantization, expect ~100 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
100.4 tok/s
TTFT
1929 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 | 100.4 tok/s | 1052 ms | 177K |
| Coding | C | Runs well | 100.4 tok/s | 1929 ms | 177K |
| Agentic Coding | C | Runs well | 100.4 tok/s | 2805 ms | 177K |
| Reasoning | C | Runs well | 100.4 tok/s | 2279 ms | 177K |
| RAG | C | Runs well | 100.4 tok/s | 3507 ms | 177K |
How SOLAR 10.7B Instruct v1.0 uncensored (10.699999809265137B params) fits at each quantization level on RTX 3090 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 | C46 |
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 | C48 |
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 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 3090 24GB can run SOLAR 10.7B Instruct v1.0 uncensored with a C grade (Runs well). Expected decode speed: 100.4 tok/s.
SOLAR 10.7B Instruct v1.0 uncensored (10.699999809265137B parameters) requires approximately 11.4 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 3090 24GB, SOLAR 10.7B Instruct v1.0 uncensored achieves approximately 100.4 tokens per second decode speed with a time-to-first-token of 1929ms using Q4_K_M quantization.
For coding workloads, SOLAR 10.7B Instruct v1.0 uncensored on RTX 3090 24GB receives a C grade with 100.4 tok/s and 177K context.
On RTX 3090 24GB, SOLAR 10.7B Instruct v1.0 uncensored 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-thebloke--solar-10-7b-instruct-v1-0-uncensored-gguf-on-rtx-3090-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: