Helply 10.2b chat i1 needs ~11.0 GB VRAM. RTX 3090 Ti 24GB has 24.0 GB. With Q4_K_M quantization, expect ~115 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
115.0 tok/s
TTFT
1683 ms
Safe context
190K
Memory
11.0 GB / 24.0 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 | 115.0 tok/s | 918 ms | 190K |
| Coding | C | Runs well | 115.0 tok/s | 1683 ms | 190K |
| Agentic Coding | C | Runs well | 115.0 tok/s | 2448 ms | 190K |
| Reasoning | C | Runs well | 115.0 tok/s | 1989 ms | 190K |
| RAG | C | Runs well | 115.0 tok/s | 3060 ms | 190K |
How Helply 10.2b chat i1 (10.199999809265137B params) fits at each quantization level on RTX 3090 Ti 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.0 GB | Low | C44 |
Q3_K_S | 3 | 5.0 GB | Low | C45 |
NVFP4 | 4 | 5.7 GB | Medium | C45 |
Q4_K_M | 4 | 6.2 GB | Medium | C46 |
Q5_K_M | 5 | 7.3 GB | High | C46 |
Q6_K | 6 | 8.4 GB | High | C47 |
Q8_0Best for your GPU | 8 | 10.9 GB | Very High | C49 |
F16 | 16 | 20.9 GB | Maximum | F0 |
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 3090 Ti 24GB can run Helply 10.2b chat i1 with a C grade (Runs well). Expected decode speed: 115.0 tok/s.
Helply 10.2b chat i1 (10.199999809265137B parameters) requires approximately 11.0 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 3090 Ti 24GB, Helply 10.2b chat i1 achieves approximately 115.0 tokens per second decode speed with a time-to-first-token of 1683ms using Q4_K_M quantization.
For coding workloads, Helply 10.2b chat i1 on RTX 3090 Ti 24GB receives a C grade with 115.0 tok/s and 190K context.
On RTX 3090 Ti 24GB, Helply 10.2b chat i1 can safely use up to 190K 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-rtx-3090-ti-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: