Helply 10.2b chat i1 needs ~18.7 GB VRAM. MacBook Pro M2 Max 96GB has 69.1 GB. With Q4_K_M quantization, expect ~37 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
37.3 tok/s
TTFT
5192 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 | 37.3 tok/s | 2832 ms | 691K |
| Coding | C | Runs well | 37.3 tok/s | 5192 ms | 691K |
| Agentic Coding | C | Runs well | 37.3 tok/s | 7552 ms | 691K |
| Reasoning | C | Runs well | 37.3 tok/s | 6136 ms | 691K |
| RAG | C | Runs well | 37.3 tok/s | 9440 ms | 691K |
How Helply 10.2b chat i1 (10.199999809265137B params) fits at each quantization level on MacBook Pro M2 Max 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 |
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
Raises estimated decode speed by about 100%.
Adds memory headroom for longer context windows and future model growth.
~$3,999 MSRP
Raises estimated decode speed by about 90%.
Adds memory headroom for longer context windows and future model growth.
~$3,999 MSRP
Raises estimated decode speed by about 31%.
Adds memory headroom for longer context windows and future model growth.
~$4,999 MSRP
Yes, MacBook Pro M2 Max 96GB can run Helply 10.2b chat i1 with a C grade (Runs well). Expected decode speed: 37.3 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 MacBook Pro M2 Max 96GB, Helply 10.2b chat i1 achieves approximately 37.3 tokens per second decode speed with a time-to-first-token of 5192ms using Q4_K_M quantization.
For coding workloads, Helply 10.2b chat i1 on MacBook Pro M2 Max 96GB receives a C grade with 37.3 tok/s and 691K context.
On MacBook Pro M2 Max 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.
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-m2-max-96gb" 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 |
| 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 |
Not always. MacBook Pro M2 Max 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.