~$2,499 MSRP
SOLAR 10.7B Instruct v1.0 uncensored needs ~11.9 GB VRAM. Radeon Pro W6800 32GB has 32.0 GB. With Q4_K_M quantization, expect ~44 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
43.9 tok/s
TTFT
4407 ms
Safe context
273K
Memory
11.9 GB / 32.0 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 | 43.9 tok/s | 2404 ms | 273K |
| Coding | C | Runs well | 43.9 tok/s | 4407 ms | 273K |
| Agentic Coding | C | Runs well | 43.9 tok/s | 6410 ms | 273K |
| Reasoning | C | Runs well | 43.9 tok/s | 5208 ms | 273K |
| RAG | C | Runs well | 43.9 tok/s | 8013 ms | 273K |
How SOLAR 10.7B Instruct v1.0 uncensored (10.699999809265137B params) fits at each quantization level on Radeon Pro W6800 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.2 GB | Low | C43 |
Q3_K_S | 3 | 5.2 GB | Low | C44 |
NVFP4 | 4 | 6.0 GB | Medium | C44 |
Q4_K_M | 4 | 6.5 GB | Medium | C44 |
Q5_K_M | 5 | 7.7 GB | High | C45 |
Q6_K | 6 | 8.8 GB | High | C45 |
Q8_0 | 8 | 11.4 GB | Very High | C46 |
F16Best for your GPU | 16 | 21.9 GB | Maximum | C49 |
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 startUpgrade options
Yes, Radeon Pro W6800 32GB can run SOLAR 10.7B Instruct v1.0 uncensored with a C grade (Runs well). Expected decode speed: 43.9 tok/s.
SOLAR 10.7B Instruct v1.0 uncensored (10.699999809265137B parameters) requires approximately 11.9 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 Radeon Pro W6800 32GB, SOLAR 10.7B Instruct v1.0 uncensored achieves approximately 43.9 tokens per second decode speed with a time-to-first-token of 4407ms using Q4_K_M quantization.
For coding workloads, SOLAR 10.7B Instruct v1.0 uncensored on Radeon Pro W6800 32GB receives a C grade with 43.9 tok/s and 273K context.
On Radeon Pro W6800 32GB, SOLAR 10.7B Instruct v1.0 uncensored can safely use up to 273K 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-radeon-pro-w6800-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: