Helply 10.2b chat i1 needs ~11.8 GB VRAM. NVIDIA V100 32GB has 32.0 GB. With Q4_K_M quantization, expect ~97 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
96.9 tok/s
TTFT
1998 ms
Safe context
286K
Memory
11.8 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 | 96.9 tok/s | 1090 ms | 286K |
| Coding | C | Runs well | 96.9 tok/s | 1998 ms | 286K |
| Agentic Coding | C | Runs well | 96.9 tok/s | 2906 ms | 286K |
| Reasoning | C | Runs well | 96.9 tok/s | 2361 ms | 286K |
| RAG | C | Runs well | 96.9 tok/s | 3632 ms | 286K |
How Helply 10.2b chat i1 (10.199999809265137B params) fits at each quantization level on NVIDIA V100 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.0 GB | Low | C43 |
Q3_K_S | 3 | 5.0 GB | Low | C43 |
NVFP4 | 4 | 5.7 GB | Medium | C43 |
Q4_K_M | 4 | 6.2 GB | Medium | C44 |
Q5_K_M | 5 | 7.3 GB | High | C44 |
Q6_K | 6 | 8.4 GB | High | C44 |
Q8_0 | 8 | 10.9 GB | Very High | C46 |
F16Best for your GPU | 16 | 20.9 GB | Maximum | C49 |
Copy-paste commands to run Helply 10.2b chat i1 on your machine.
Run
lms load hf-mradermacher--helply-10-2b-chat-i1-gguf && lms server startYes, NVIDIA V100 32GB can run Helply 10.2b chat i1 with a C grade (Runs well). Expected decode speed: 96.9 tok/s.
Helply 10.2b chat i1 (10.199999809265137B parameters) requires approximately 11.8 GB of memory with Q4_K_M quantization.
The recommended quantization for Helply 10.2b chat i1 is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA V100 32GB, Helply 10.2b chat i1 achieves approximately 96.9 tokens per second decode speed with a time-to-first-token of 1998ms using Q4_K_M quantization.
For coding workloads, Helply 10.2b chat i1 on NVIDIA V100 32GB receives a C grade with 96.9 tok/s and 286K context.
On NVIDIA V100 32GB, Helply 10.2b chat i1 can safely use up to 286K 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--helply-10-2b-chat-i1-gguf-on-v100-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: