Helply 10.2b chat i1 needs ~10.2 GB VRAM. RTX A4000 16GB has 16.0 GB. With Q4_K_M quantization, expect ~50 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
50.4 tok/s
TTFT
3841 ms
Safe context
93K
Memory
10.2 GB / 16.0 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 | 50.4 tok/s | 2095 ms | 93K |
| Coding | C | Runs well | 50.4 tok/s | 3841 ms | 93K |
| Agentic Coding | C | Runs well | 50.4 tok/s | 5587 ms | 93K |
| Reasoning | C | Runs well | 50.4 tok/s | 4540 ms | 93K |
| RAG | C | Runs well | 50.4 tok/s | 6984 ms | 93K |
How Helply 10.2b chat i1 (10.199999809265137B params) fits at each quantization level on RTX A4000 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.0 GB | Low | C47 |
Q3_K_S | 3 | 5.0 GB | Low | C48 |
NVFP4 | 4 |
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, RTX A4000 16GB can run Helply 10.2b chat i1 with a C grade (Runs well). Expected decode speed: 50.4 tok/s.
Helply 10.2b chat i1 (10.199999809265137B parameters) requires approximately 10.2 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 RTX A4000 16GB, Helply 10.2b chat i1 achieves approximately 50.4 tokens per second decode speed with a time-to-first-token of 3841ms using Q4_K_M quantization.
For coding workloads, Helply 10.2b chat i1 on RTX A4000 16GB receives a C grade with 50.4 tok/s and 93K context.
On RTX A4000 16GB, Helply 10.2b chat i1 can safely use up to 93K 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-a4000-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
| Medium |
| C49 |
Q4_K_M | 4 | 6.2 GB | Medium | C49 |
Q5_K_M | 5 | 7.3 GB | High | C51 |
Q6_K | 6 | 8.4 GB | High | C51 |
Q8_0Best for your GPU | 8 | 10.9 GB | Very High | C50 |
F16 | 16 | 20.9 GB | Maximum | F0 |