HelpingAI2.5 5B i1 needs ~23.6 GB VRAM. H100 NVL 188GB has 188.0 GB. With Q4_K_M quantization, expect ~70 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
70.0 tok/s
TTFT
2766 ms
Safe context
4.5M
Memory
23.6 GB / 188.0 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 | 70.0 tok/s | 1509 ms | 4.5M |
| Coding | C | Runs well | 70.0 tok/s | 2766 ms | 4.5M |
| Agentic Coding | C | Runs well | 70.0 tok/s | 4023 ms | 4.5M |
| Reasoning | C | Runs well | 70.0 tok/s | 3269 ms | 4.5M |
| RAG | C | Runs well | 70.0 tok/s | 5029 ms | 4.5M |
How HelpingAI2.5 5B i1 (5B params) fits at each quantization level on H100 NVL 188GB (188.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.0 GB | Low | D37 |
Q3_K_S | 3 | 2.5 GB | Low | D37 |
NVFP4 | 4 |
Copy-paste commands to run HelpingAI2.5 5B i1 on your machine.
Run
lms load hf-mradermacher--helpingai2-5-5b-i1-gguf && lms server startYes, H100 NVL 188GB can run HelpingAI2.5 5B i1 with a C grade (Runs well). Expected decode speed: 70.0 tok/s.
HelpingAI2.5 5B i1 (5B parameters) requires approximately 23.6 GB of memory with Q4_K_M quantization.
The recommended quantization for HelpingAI2.5 5B i1 is Q4_K_M, which balances quality and memory efficiency.
On H100 NVL 188GB, HelpingAI2.5 5B i1 achieves approximately 70.0 tokens per second decode speed with a time-to-first-token of 2766ms using Q4_K_M quantization.
For coding workloads, HelpingAI2.5 5B i1 on H100 NVL 188GB receives a C grade with 70.0 tok/s and 4.5M context.
On H100 NVL 188GB, HelpingAI2.5 5B i1 can safely use up to 4.5M 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--helpingai2-5-5b-i1-gguf-on-h100-nvl-188gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
2.8 GB |
| Medium |
| D37 |
Q4_K_M | 4 | 3.1 GB | Medium | D37 |
Q5_K_M | 5 | 3.6 GB | High | D37 |
Q6_K | 6 | 4.1 GB | High | D37 |
Q8_0 | 8 | 5.4 GB | Very High | D37 |
F16Best for your GPU | 16 | 10.3 GB | Maximum | D37 |