Helply 10.2b chat i1 needs ~15.2 GB VRAM. MacBook Pro M4 Max 64GB has 46.1 GB. With Q4_K_M quantization, expect ~49 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
48.7 tok/s
TTFT
3979 ms
Safe context
429K
Memory
15.2 GB / 46.1 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 | 48.7 tok/s | 2171 ms | 429K |
| Coding | C | Runs well | 48.7 tok/s | 3979 ms | 429K |
| Agentic Coding | C | Runs well | 48.7 tok/s | 5788 ms | 429K |
| Reasoning | C | Runs well | 48.7 tok/s | 4703 ms | 429K |
| RAG | C | Runs well | 48.7 tok/s | 7235 ms | 429K |
How Helply 10.2b chat i1 (10.199999809265137B params) fits at each quantization level on MacBook Pro M4 Max 64GB (46.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.0 GB | Low | C41 |
Q3_K_S | 3 | 5.0 GB | Low | C41 |
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 84%.
Adds memory headroom for longer context windows and future model growth.
~$3,999 MSRP
Raises estimated decode speed by about 68%.
~$3,999 MSRP
Yes, MacBook Pro M4 Max 64GB can run Helply 10.2b chat i1 with a C grade (Runs well). Expected decode speed: 48.7 tok/s.
Helply 10.2b chat i1 (10.199999809265137B parameters) requires approximately 15.2 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 M4 Max 64GB, Helply 10.2b chat i1 achieves approximately 48.7 tokens per second decode speed with a time-to-first-token of 3979ms using Q4_K_M quantization.
For coding workloads, Helply 10.2b chat i1 on MacBook Pro M4 Max 64GB receives a C grade with 48.7 tok/s and 429K context.
On MacBook Pro M4 Max 64GB, Helply 10.2b chat i1 can safely use up to 429K 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-m4-max-64gb" 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 |
| C41 |
Q4_K_M | 4 | 6.2 GB | Medium | C42 |
Q5_K_M | 5 | 7.3 GB | High | C42 |
Q6_K | 6 | 8.4 GB | High | C42 |
Q8_0 | 8 | 10.9 GB | Very High | C43 |
F16Best for your GPU | 16 | 20.9 GB | Maximum | C46 |
Not always. MacBook Pro M4 Max 64GB 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.