Helply 10.2b chat i1 needs ~9.5 GB VRAM. RTX 4070 12GB has 12.0 GB. With Q4_K_M quantization, expect ~64 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
63.8 tok/s
TTFT
3035 ms
Safe context
49K
Memory
9.5 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 | 63.8 tok/s | 1655 ms | 49K |
| Coding | B | Runs well | 63.8 tok/s | 3035 ms | 49K |
| Agentic Coding | C | Tight fit | 63.8 tok/s | 4415 ms | 49K |
| Reasoning | B | Runs well | 63.8 tok/s | 3587 ms | 49K |
| RAG | C | Tight fit | 63.8 tok/s | 5518 ms | 49K |
How Helply 10.2b chat i1 (10.199999809265137B params) fits at each quantization level on RTX 4070 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 4070 12GB can run Helply 10.2b chat i1 with a B grade (Runs well). Expected decode speed: 63.8 tok/s.
Helply 10.2b chat i1 (10.199999809265137B parameters) requires approximately 9.5 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 4070 12GB, Helply 10.2b chat i1 achieves approximately 63.8 tokens per second decode speed with a time-to-first-token of 3035ms using Q4_K_M quantization.
For coding workloads, Helply 10.2b chat i1 on RTX 4070 12GB receives a B grade with 63.8 tok/s and 49K context.
On RTX 4070 12GB, Helply 10.2b chat i1 can safely use up to 49K 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-4070-12gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: