Solar Open 69B REAP i1 needs ~53.0 GB but RTX 5070 Ti 16GB only has 16.0 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
37.0 GB over capacity — needs offload or smaller quantization
Fit status
Too heavy
Decode
2.0 tok/s
TTFT
94734 ms
Safe context
4K
Memory
53.0 GB / 16.0 GB
Offload
70%
Usable VRAM is the main blocker for this model.
Not enough usable memory
The model needs 53.0 GB, but this setup only exposes 16.0 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 | 2.0 tok/s | 51673 ms | 4K |
| Coding | F | Too heavy | 2.0 tok/s | 94734 ms | 4K |
| Agentic Coding | F | Too heavy | 2.0 tok/s | 137795 ms | 4K |
| Reasoning | F | Too heavy | 2.0 tok/s | 111958 ms | 4K |
| RAG | F | Too heavy | 2.0 tok/s | 172243 ms | 4K |
How Solar Open 69B REAP i1 (69B params) fits at each quantization level on RTX 5070 Ti 16GB (16.0 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 |
Opções de upgrade
RTX A6000 48GBMelhor custo-benefícioMakes the model fit on the accelerator instead of staying completely out of reach.
Raises estimated decode speed by about 275%.
~$4,650 MSRP
RTX PRO 5000 Blackwell 48GBUpgrade NVIDIAMakes the model fit on the accelerator instead of staying completely out of reach.
Raises estimated decode speed by about 645%.
~$4,999 MSRP
NVIDIA A16 64GBOpção econômicaMakes 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 80GBMaior saltoMakes 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 5070 Ti 16GB provides.
Solar Open 69B REAP i1 (69B parameters) requires approximately 53.0 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 5070 Ti 16GB, Solar Open 69B REAP i1 achieves approximately 2.0 tokens per second decode speed with a time-to-first-token of 94734ms using Q4_K_M quantization.
For coding workloads, Solar Open 69B REAP i1 on RTX 5070 Ti 16GB receives a F grade with 2.0 tok/s and 4K context.
On RTX 5070 Ti 16GB, 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-5070-ti-16gb" 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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