HelpingAI 15B i1 needs ~15.3 GB VRAM. RTX PRO 4500 Blackwell 32GB has 32.0 GB. With Q4_K_M quantization, expect ~82 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
82.3 tok/s
TTFT
2354 ms
Safe context
168K
Memory
15.3 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 | 82.3 tok/s | 1284 ms | 168K |
| Coding | C | Runs well | 82.3 tok/s | 2354 ms | 168K |
| Agentic Coding | C | Runs well | 82.3 tok/s | 3423 ms | 168K |
| Reasoning | C | Runs well | 82.3 tok/s | 2782 ms | 168K |
| RAG | C | Runs well | 82.3 tok/s | 4279 ms | 168K |
How HelpingAI 15B i1 (15B params) fits at each quantization level on RTX PRO 4500 Blackwell 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.9 GB | Low | C44 |
Q3_K_S | 3 | 7.4 GB | Low | C44 |
NVFP4 | 4 | 8.4 GB | Medium | C45 |
Q4_K_M | 4 | 9.2 GB | Medium | C45 |
Q5_K_M | 5 | 10.8 GB | High | C46 |
Q6_K | 6 | 12.3 GB | High | C46 |
Q8_0Best for your GPU | 8 | 16.1 GB | Very High | C48 |
F16 | 16 | 30.7 GB | Maximum | F0 |
Copy-paste commands to run HelpingAI 15B i1 on your machine.
Run
lms load hf-mradermacher--helpingai-15b-i1-gguf && lms server startYes, RTX PRO 4500 Blackwell 32GB can run HelpingAI 15B i1 with a C grade (Runs well). Expected decode speed: 82.3 tok/s.
HelpingAI 15B i1 (15B parameters) requires approximately 15.3 GB of memory with Q4_K_M quantization.
The recommended quantization for HelpingAI 15B i1 is Q4_K_M, which balances quality and memory efficiency.
On RTX PRO 4500 Blackwell 32GB, HelpingAI 15B i1 achieves approximately 82.3 tokens per second decode speed with a time-to-first-token of 2354ms using Q4_K_M quantization.
For coding workloads, HelpingAI 15B i1 on RTX PRO 4500 Blackwell 32GB receives a C grade with 82.3 tok/s and 168K context.
On RTX PRO 4500 Blackwell 32GB, HelpingAI 15B i1 can safely use up to 168K 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-mradermacher--helpingai-15b-i1-gguf-on-rtx-pro-4500-blackwell-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: