Can Solar 7B run on Radeon RX 7800M 12GB?
YES — Runs Great
Solar 7B needs ~9.3 GB VRAM. Radeon RX 7800M 12GB has 12.0 GB. With Q4_K_M quantization, expect ~64 tok/s.
Operating mode
Choose the run profile you care about
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
64.2 tok/s
TTFT
3017 ms
Safe context
8K
Memory
9.3 GB / 12.0 GB
Memory breakdown
See how fast it feels
What limits this setup
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.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 64.2 tok/s | 1646 ms | 8K |
| Coding | A | Runs well | 64.2 tok/s | 3017 ms | 8K |
| Agentic Coding | A | Runs with offload (needs ~0.1 GB host RAM) | 46.2 tok/s | 6089 ms | 8K |
| Reasoning | A | Runs well | 64.2 tok/s | 3566 ms | 8K |
| RAG | A | Runs with offload (needs ~0.1 GB host RAM) | 46.2 tok/s | 7612 ms | 8K |
Quantization options
How Solar 7B (7B params) fits at each quantization level on Radeon RX 7800M 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 |
Get started
Copy-paste commands to run Solar 7B on your machine.
Run
lms load Solar-7B && lms server startYour hardware
More models your Radeon RX 7800M 12GB can run
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 👁 Alibaba Qwen 3.5 9B | 9B | S | 49.9 tok/s | |
| 👁 Alibaba Qwen 3 14B | 14B | A | 20.2 tok/s | |
| 👁 Alibaba Qwen 3 8B | 8B | S | 56.1 tok/s | |
| 👁 Microsoft Phi-4-reasoning-plus 14B | 14.7B | A | 16.3 tok/s | |
| 👁 NVIDIA Nemotron Nano 8B | 8B | S | 56.1 tok/s |
