Helply 10.2b chat i1 needs ~9.8 GB VRAM. RTX 5070 12GB has 12.0 GB. With Q4_K_M quantization, expect ~68 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
68.0 tok/s
TTFT
2845 ms
Safe context
45K
Memory
9.8 GB / 12.0 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 | B | Runs well | 68.0 tok/s | 1552 ms | 45K |
| Coding | B | Runs well | 68.0 tok/s | 2845 ms | 45K |
| Agentic Coding | C | Tight fit | 68.0 tok/s | 4139 ms | 45K |
| Reasoning | B | Runs well | 68.0 tok/s | 3363 ms | 45K |
| RAG | C | Tight fit | 68.0 tok/s | 5173 ms | 45K |
How Helply 10.2b chat i1 (10.199999809265137B params) fits at each quantization level on RTX 5070 12GB (12.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.0 GB | Low | C50 |
Q3_K_S | 3 | 5.0 GB | Low | C51 |
NVFP4 | 4 | 5.7 GB | Medium | C52 |
Q4_K_M | 4 | 6.2 GB | Medium | C52 |
Q5_K_M | 5 | 7.3 GB | High | C51 |
Q6_KBest for your GPU | 6 | 8.4 GB | High | C51 |
Q8_0 | 8 | 10.9 GB | Very High | F0 |
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 5070 12GB can run Helply 10.2b chat i1 with a B grade (Runs well). Expected decode speed: 68.0 tok/s.
Helply 10.2b chat i1 (10.199999809265137B parameters) requires approximately 9.8 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 RTX 5070 12GB, Helply 10.2b chat i1 achieves approximately 68.0 tokens per second decode speed with a time-to-first-token of 2845ms using Q4_K_M quantization.
For coding workloads, Helply 10.2b chat i1 on RTX 5070 12GB receives a B grade with 68.0 tok/s and 45K context.
On RTX 5070 12GB, Helply 10.2b chat i1 can safely use up to 45K 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-5070-12gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: