Solar 7B needs ~9.6 GB VRAM. RTX 4070 12GB has 12.0 GB. With Q4_K_M quantization, expect ~95 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
95.2 tok/s
TTFT
2034 ms
Safe context
8K
Memory
9.6 GB / 12.0 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 | 95.2 tok/s | 1110 ms | 8K |
| Coding | A | Runs well | 95.2 tok/s | 2034 ms | 8K |
| Agentic Coding | A | Runs with offload (needs ~0.2 GB host RAM) | 65.2 tok/s | 4321 ms | 8K |
| Reasoning | A | Runs well | 95.2 tok/s | 2404 ms | 8K |
| RAG | A | Runs with offload (needs ~0.2 GB host RAM) | 65.2 tok/s | 5401 ms | 8K |
How Solar 7B (7B params) fits at each quantization level on RTX 4070 12GB (12.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | B70 |
Q3_K_S | 3 | 3.4 GB | Low | A70 |
NVFP4 | 4 | 3.9 GB | Medium | A71 |
Q4_K_M | 4 | 4.3 GB | Medium | A72 |
Q5_K_M | 5 | 5.0 GB | High | A73 |
Q6_K | 6 | 5.7 GB | High | A73 |
Q8_0Best for your GPU | 8 | 7.5 GB | Very High | A72 |
F16 | 16 | 14.3 GB | Maximum | F0 |
Copy-paste commands to run Solar 7B on your machine.
Run
lms load Solar-7B && lms server startYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 9B | S | 74 tok/s | ||
| 14B | A | 28.5 tok/s | ||
| 8B | S | 83.3 tok/s | ||
| 8B | S | 83.3 tok/s | ||
| 14B | A | 28.4 tok/s |
Yes, RTX 4070 12GB can run Solar 7B with a A grade (Runs well). Expected decode speed: 95.2 tok/s.
Solar 7B (7B parameters) requires approximately 9.6 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 4070 12GB, Solar 7B achieves approximately 95.2 tokens per second decode speed with a time-to-first-token of 2034ms using Q4_K_M quantization.
For coding workloads, Solar 7B on RTX 4070 12GB receives a A grade with 95.2 tok/s and 8K context.
On RTX 4070 12GB, 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-4070-12gb" 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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