Codestral 21B Pruned i1 needs ~19.6 GB VRAM. MacBook Pro M1 Pro 32GB has 23.0 GB. With Q4_K_M quantization, expect ~10 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
10.1 tok/s
TTFT
19077 ms
Safe context
38K
Memory
19.6 GB / 23.0 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 | 10.1 tok/s | 10406 ms | 38K |
| Coding | C | Tight fit | 10.1 tok/s | 19077 ms | 38K |
| Agentic Coding | C | Runs with offload | 10.1 tok/s | 27748 ms | 38K |
| Reasoning | C | Tight fit | 10.1 tok/s | 22546 ms | 38K |
| RAG | C | Runs with offload | 10.1 tok/s | 34686 ms | 38K |
How Codestral 21B Pruned i1 (21B params) fits at each quantization level on MacBook Pro M1 Pro 32GB (23.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 8.2 GB | Low | C48 |
Q3_K_S | 3 | 10.3 GB | Low | C49 |
NVFP4 | 4 | 11.8 GB | Medium | C50 |
Q4_K_M | 4 | 12.8 GB | Medium | C50 |
Q5_K_M | 5 | 15.1 GB | High | C49 |
Q6_KBest for your GPU | 6 | 17.2 GB | High | C49 |
Q8_0 | 8 | 22.5 GB | Very High | F0 |
F16 | 16 | 43.1 GB | Maximum | F0 |
Copy-paste commands to run Codestral 21B Pruned i1 on your machine.
Run
lms load hf-mradermacher--codestral-21b-pruned-i1-gguf && lms server startUpgrade options
Raises estimated decode speed by about 120%.
Adds memory headroom for longer context windows and future model growth.
~$1,599 MSRP
~$1,999 MSRP
Raises estimated decode speed by about 177%.
~$2,499 MSRP
Yes, MacBook Pro M1 Pro 32GB can run Codestral 21B Pruned i1 with a C grade (Tight fit). Expected decode speed: 10.1 tok/s.
Codestral 21B Pruned i1 (21B parameters) requires approximately 19.6 GB of memory with Q4_K_M quantization.
The recommended quantization for Codestral 21B Pruned i1 is Q4_K_M, which balances quality and memory efficiency.
On MacBook Pro M1 Pro 32GB, Codestral 21B Pruned i1 achieves approximately 10.1 tokens per second decode speed with a time-to-first-token of 19077ms using Q4_K_M quantization.
For coding workloads, Codestral 21B Pruned i1 on MacBook Pro M1 Pro 32GB receives a C grade with 10.1 tok/s and 38K context.
On MacBook Pro M1 Pro 32GB, Codestral 21B Pruned i1 can safely use up to 38K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Not always. MacBook Pro M1 Pro 32GB 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--codestral-21b-pruned-i1-gguf-on-m1-pro-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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