~$329 MSRP
Helply 10.2b chat i1 needs ~9.7 GB VRAM. GTX 1080 Ti 11GB has 11.0 GB. With Q4_K_M quantization, expect ~46 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
Tight fit
Decode
45.9 tok/s
TTFT
4218 ms
Safe context
33K
Memory
9.7 GB / 11.0 GB
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Tight fit | 45.9 tok/s | 2301 ms | 33K |
| Coding | C | Tight fit | 45.9 tok/s | 4218 ms | 33K |
| Agentic Coding | C | Runs with offload | 45.9 tok/s | 6136 ms | 33K |
| Reasoning | C | Tight fit | 45.9 tok/s | 4985 ms | 33K |
| RAG | C | Runs with offload | 45.9 tok/s | 7670 ms | 33K |
How Helply 10.2b chat i1 (10.199999809265137B params) fits at each quantization level on GTX 1080 Ti 11GB (11.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.0 GB | Low | C51 |
Q3_K_S | 3 | 5.0 GB | Low | C52 |
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 startUpgrade options
~$329 MSRP
Adds memory headroom for longer context windows and future model growth.
~$449 MSRP
Adds memory headroom for longer context windows and future model growth.
~$499 MSRP
Yes, GTX 1080 Ti 11GB can run Helply 10.2b chat i1 with a C grade (Tight fit). Expected decode speed: 45.9 tok/s.
Helply 10.2b chat i1 (10.199999809265137B parameters) requires approximately 9.7 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 GTX 1080 Ti 11GB, Helply 10.2b chat i1 achieves approximately 45.9 tokens per second decode speed with a time-to-first-token of 4218ms using Q4_K_M quantization.
For coding workloads, Helply 10.2b chat i1 on GTX 1080 Ti 11GB receives a C grade with 45.9 tok/s and 33K context.
On GTX 1080 Ti 11GB, Helply 10.2b chat i1 can safely use up to 33K 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-gtx-1080-ti-11gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
5.7 GB |
| Medium |
| C52 |
Q4_K_M | 4 | 6.2 GB | Medium | C52 |
Q5_K_MBest for your GPU | 5 | 7.3 GB | High | C51 |
Q6_K | 6 | 8.4 GB | High | F0 |
Q8_0 | 8 | 10.9 GB | Very High | F0 |
F16 | 16 | 20.9 GB | Maximum | F0 |