Solar Open 69B REAP i1 needs ~54.6 GB but RTX 5090 32GB only has 32.0 GB. Try a smaller quantization or lighter model.
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
22.6 GB over capacity — needs offload or smaller quantization
Fit status
Too heavy
Decode
7.3 tok/s
TTFT
26373 ms
Safe context
4K
Memory
54.6 GB / 32.0 GB
Offload
40%
Usable VRAM is the main blocker for this model.
Not enough usable memory
The model needs 54.6 GB, but this setup only exposes 32.0 GB of usable VRAM.
Add more VRAM headroom
The first useful upgrade is more dedicated VRAM so you can fit the model without shrinking context or dropping to a much lower quant.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | F | Too heavy | 8.6 tok/s | 12295 ms | 4K |
| Coding | F | Too heavy | 7.3 tok/s | 26373 ms | 4K |
| Agentic Coding | F | Too heavy | 5.5 tok/s | 50849 ms | 4K |
| Reasoning | F | Too heavy | 7.3 tok/s | 31168 ms | 4K |
| RAG | F | Too heavy | 5.5 tok/s | 63562 ms | 4K |
How Solar Open 69B REAP i1 (69B params) fits at each quantization level on RTX 5090 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 26.9 GB | Low | F0 |
Q3_K_S | 3 | 33.8 GB | Low | F0 |
NVFP4 | 4 | 38.6 GB | Medium | F0 |
Q4_K_M | 4 | 42.1 GB | Medium | F0 |
Q5_K_M | 5 | 49.7 GB | High | F0 |
Q6_K | 6 | 56.6 GB | High | F0 |
Q8_0 | 8 | 73.8 GB | Very High | F0 |
F16 | 16 | 141.5 GB | Maximum | F0 |
アップグレードオプション
RTX A6000 48GBコスパ最良Makes the model fit on the accelerator instead of staying completely out of reach.
Adds memory headroom for longer context windows and future model growth.
〜$4,650 MSRP
RTX PRO 5000 Blackwell 48GBNVIDIAアップグレードMakes the model fit on the accelerator instead of staying completely out of reach.
Raises estimated decode speed by about 104%.
〜$4,999 MSRP
NVIDIA A16 64GBコスパ重視Makes the model fit on the accelerator instead of staying completely out of reach.
Removes host-memory offload, which is usually the single biggest latency and throughput win.
〜$6,500 MSRP
NVIDIA H100 80GB最大の飛躍Makes the model fit on the accelerator instead of staying completely out of reach.
Removes host-memory offload, which is usually the single biggest latency and throughput win.
〜$40,000 MSRP
No, Solar Open 69B REAP i1 requires more memory than RTX 5090 32GB provides.
Solar Open 69B REAP i1 (69B parameters) requires approximately 54.6 GB of memory with Q4_K_M quantization.
The recommended quantization for Solar Open 69B REAP i1 is Q4_K_M, which balances quality and memory efficiency.
On RTX 5090 32GB, Solar Open 69B REAP i1 achieves approximately 7.3 tokens per second decode speed with a time-to-first-token of 26373ms using Q4_K_M quantization.
For coding workloads, Solar Open 69B REAP i1 on RTX 5090 32GB receives a F grade with 7.3 tok/s and 4K context.
On RTX 5090 32GB, Solar Open 69B REAP i1 can safely use up to 4K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Add more VRAM headroom. The first useful upgrade is more dedicated VRAM so you can fit the model without shrinking context or dropping to a much lower quant.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/hf-mradermacher--solar-open-69b-reap-i1-gguf-on-rtx-5090-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
