Raises estimated decode speed by about 314%.
Adds memory headroom for longer context windows and future model growth.
~$2,499 MSRP
Codestral 21B Pruned i1 needs ~20.1 GB VRAM. MacBook Pro M3 Pro 36GB has 25.9 GB. With Q4_K_M quantization, expect ~9 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
8.5 tok/s
TTFT
22649 ms
Safe context
54K
Memory
20.1 GB / 25.9 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 | 8.5 tok/s | 12354 ms | 54K |
| Coding | C | Runs well | 8.5 tok/s | 22649 ms | 54K |
| Agentic Coding | C | Tight fit | 8.5 tok/s | 32943 ms | 54K |
| Reasoning | C | Runs well | 8.5 tok/s | 26766 ms | 54K |
| RAG | C | Tight fit | 8.5 tok/s | 41179 ms | 54K |
How Codestral 21B Pruned i1 (21B params) fits at each quantization level on MacBook Pro M3 Pro 36GB (25.9 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 8.2 GB | Low | C46 |
Q3_K_S | 3 | 10.3 GB | Low | C48 |
NVFP4 | 4 | 11.8 GB | Medium | C49 |
Q4_K_M | 4 | 12.8 GB | Medium | C49 |
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 startOpções de upgrade
Raises estimated decode speed by about 314%.
Adds memory headroom for longer context windows and future model growth.
~$2,499 MSRP
Raises estimated decode speed by about 120%.
Adds memory headroom for longer context windows and future model growth.
~$2,499 MSRP
Raises estimated decode speed by about 161%.
Adds memory headroom for longer context windows and future model growth.
~$2,999 MSRP
Yes, MacBook Pro M3 Pro 36GB can run Codestral 21B Pruned i1 with a C grade (Runs well). Expected decode speed: 8.5 tok/s.
Codestral 21B Pruned i1 (21B parameters) requires approximately 20.1 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 M3 Pro 36GB, Codestral 21B Pruned i1 achieves approximately 8.5 tokens per second decode speed with a time-to-first-token of 22649ms using Q4_K_M quantization.
For coding workloads, Codestral 21B Pruned i1 on MacBook Pro M3 Pro 36GB receives a C grade with 8.5 tok/s and 54K context.
On MacBook Pro M3 Pro 36GB, Codestral 21B Pruned i1 can safely use up to 54K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Not always. MacBook Pro M3 Pro 36GB 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.
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