Helply 10.2b chat i1 needs ~18.7 GB VRAM. Mac Studio M3 Ultra 96GB has 69.1 GB. With Q4_K_M quantization, expect ~90 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
89.5 tok/s
TTFT
2163 ms
Safe context
691K
Memory
18.7 GB / 69.1 GB
This setup is broadly balanced for this model.
Shared-memory contention still exists
The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 89.5 tok/s | 1180 ms | 691K |
| Coding | C | Runs well | 89.5 tok/s | 2163 ms | 691K |
| Agentic Coding | C | Runs well | 89.5 tok/s | 3146 ms | 691K |
| Reasoning | C | Runs well | 89.5 tok/s | 2556 ms | 691K |
| RAG | C | Runs well | 89.5 tok/s | 3933 ms | 691K |
How Helply 10.2b chat i1 (10.199999809265137B params) fits at each quantization level on Mac Studio M3 Ultra 96GB (69.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.0 GB | Low | D40 |
Q3_K_S | 3 | 5.0 GB | Low | D40 |
NVFP4 | 4 | 5.7 GB | Medium | D40 |
Q4_K_M | 4 | 6.2 GB | Medium | D40 |
Q5_K_M | 5 | 7.3 GB | High | D40 |
Q6_K | 6 | 8.4 GB | High | C40 |
Q8_0 | 8 | 10.9 GB | Very High | C40 |
F16Best for your GPU | 16 | 20.9 GB | Maximum | C42 |
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, Mac Studio M3 Ultra 96GB can run Helply 10.2b chat i1 with a C grade (Runs well). Expected decode speed: 89.5 tok/s.
Helply 10.2b chat i1 (10.199999809265137B parameters) requires approximately 18.7 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 Mac Studio M3 Ultra 96GB, Helply 10.2b chat i1 achieves approximately 89.5 tokens per second decode speed with a time-to-first-token of 2163ms using Q4_K_M quantization.
For coding workloads, Helply 10.2b chat i1 on Mac Studio M3 Ultra 96GB receives a C grade with 89.5 tok/s and 691K context.
On Mac Studio M3 Ultra 96GB, Helply 10.2b chat i1 can safely use up to 691K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Not always. Mac Studio M3 Ultra 96GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.
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-m3-ultra-96gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: