Solar 7B needs ~10.8 GB VRAM. RTX 3090 24GB has 24.0 GB. With Q4_K_M quantization, expect ~98 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
98.0 tok/s
TTFT
1976 ms
Safe context
8K
Memory
10.8 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 | A | Runs well | 98.0 tok/s | 1078 ms | 8K |
| Coding | A | Runs well | 98.0 tok/s | 1976 ms | 8K |
| Agentic Coding | A | Runs well | 98.0 tok/s | 2873 ms | 8K |
| Reasoning | A | Runs well | 98.0 tok/s | 2335 ms | 8K |
| RAG | A | Runs well | 98.0 tok/s | 3592 ms | 8K |
How Solar 7B (7B params) fits at each quantization level on RTX 3090 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | B65 |
Q3_K_S | 3 | 3.4 GB | Low | B65 |
NVFP4 | 4 |
Copy-paste commands to run Solar 7B on your machine.
Run
lms load Solar-7B && lms server startYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Qwen3-Coder 30B A3B Instruct | 30.5B | S | 99.1 tok/s | |
| Qwen 3.5 27B | 27B | S | 43 tok/s |
Yes, RTX 3090 24GB can run Solar 7B with a A grade (Runs well). Expected decode speed: 98.0 tok/s.
Solar 7B (7B parameters) requires approximately 10.8 GB of memory with Q4_K_M quantization.
The recommended quantization for Solar 7B is Q4_K_M, which balances quality and memory efficiency.
On RTX 3090 24GB, Solar 7B achieves approximately 98.0 tokens per second decode speed with a time-to-first-token of 1976ms using Q4_K_M quantization.
For coding workloads, Solar 7B on RTX 3090 24GB receives a A grade with 98.0 tok/s and 8K context.
On RTX 3090 24GB, Solar 7B can safely use up to 8K tokens of context. The model's official context limit is 8K, 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/solar-7b-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:
3.9 GB |
| Medium |
| B66 |
Q4_K_M | 4 | 4.3 GB | Medium | B66 |
Q5_K_M | 5 | 5.0 GB | High | B66 |
Q6_K | 6 | 5.7 GB | High | B66 |
Q8_0 | 8 | 7.5 GB | Very High | B68 |
F16Best for your GPU | 16 | 14.3 GB | Maximum | A71 |
| Qwen 3.6 27B | 27B | S | 43.1 tok/s |
| Qwen3-VL 30B A3B Instruct | 30B | S | 102.5 tok/s |
| Qwen 3.5 9B | 9B | S | 126 tok/s |