Raises estimated decode speed by about 200%.
Adds memory headroom for longer context windows and future model growth.
~$30,000 MSRP
Solar Open 100B needs ~83.5 GB VRAM. RTX PRO 6000 Blackwell Server Edition 96GB has 96.0 GB. With Q4_K_M quantization, expect ~22 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
Tight fit
Decode
22.0 tok/s
TTFT
8803 ms
Safe context
33K
Memory
83.5 GB / 96.0 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 | 22.0 tok/s | 4802 ms | 33K |
| Coding | C | Tight fit | 22.0 tok/s | 8803 ms | 33K |
| Agentic Coding | C | Runs with offload | 22.0 tok/s | 12805 ms | 33K |
| Reasoning | C | Tight fit | 22.0 tok/s | 10404 ms | 33K |
| RAG | C | Runs with offload | 22.0 tok/s | 16006 ms | 33K |
How Solar Open 100B (100B params) fits at each quantization level on RTX PRO 6000 Blackwell Server Edition 96GB (96.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 39.0 GB | Low | C45 |
Q3_K_S | 3 | 49.0 GB | Low | C47 |
NVFP4 | 4 |
Copy-paste commands to run Solar Open 100B on your machine.
Run
lms load hf-aaryank--solar-open-100b-gguf && lms server startUpgrade options
Raises estimated decode speed by about 200%.
Adds memory headroom for longer context windows and future model growth.
~$30,000 MSRP
Raises estimated decode speed by about 200%.
Adds memory headroom for longer context windows and future model growth.
~$30,000 MSRP
Raises estimated decode speed by about 401%.
Adds memory headroom for longer context windows and future model growth.
~$30,000 MSRP
Yes, RTX PRO 6000 Blackwell Server Edition 96GB can run Solar Open 100B with a C grade (Tight fit). Expected decode speed: 22.0 tok/s.
Solar Open 100B (100B parameters) requires approximately 83.5 GB of memory with Q4_K_M quantization.
The recommended quantization for Solar Open 100B is Q4_K_M, which balances quality and memory efficiency.
On RTX PRO 6000 Blackwell Server Edition 96GB, Solar Open 100B achieves approximately 22.0 tokens per second decode speed with a time-to-first-token of 8803ms using Q4_K_M quantization.
For coding workloads, Solar Open 100B on RTX PRO 6000 Blackwell Server Edition 96GB receives a C grade with 22.0 tok/s and 33K context.
On RTX PRO 6000 Blackwell Server Edition 96GB, Solar Open 100B can safely use up to 33K 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-aaryank--solar-open-100b-gguf-on-rtx-pro-6000-blackwell-server-96gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
56.0 GB |
| Medium |
| C48 |
Q4_K_M | 4 | 61.0 GB | Medium | C48 |
Q5_K_MBest for your GPU | 5 | 72.0 GB | High | C48 |
Q6_K | 6 | 82.0 GB | High | F0 |
Q8_0 | 8 | 107.0 GB | Very High | F0 |
F16 | 16 | 205.0 GB | Maximum | F0 |