Can Codestral 21B Pruned i1 run on MacBook Pro M2 Max 96GB?

YES — Runs Great

C44Usable

Estimated from fit model

Codestral 21B Pruned i1 needs ~26.5 GB VRAM. MacBook Pro M2 Max 96GB has 69.1 GB. With Q4_K_M quantization, expect ~18 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: LowStack: StandardBottleneck: Balanced

Operating mode

Choose the run profile you care about

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.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 26.5 GB, 18.1 tok/s, Runs well

26.5 GB required69.1 GB available

38% VRAM used

Fit status

Runs well

Decode

18.1 tok/s

TTFT

10690 ms

Safe context

293K

Memory

26.5 GB / 69.1 GB

Memory breakdown

Weights12.8 GB

KV Cache2.5 GB

Runtime0.9 GB

Headroom10.4 GB

See how fast it feels

See how fast it feelsCodestral 21B Pruned i1 on MacBook Pro M2 Max 96GB
1st promptCold start — includes initialization
>Write a Python function to sort a list
Here's a Python function that sorts a list using quicksort:

def quicksort(arr):
    if len(arr) <= 1:
        return arr
    pivot = arr[len(arr) // 2]
    left   = [x for x in arr if x < pivot]
    middle = [x for x in arr if x == pivot]
    right  = [x for x in arr if x > pivot]
    return quicksort(left) + middle + quicksort(right)

# Example usage
numbers = [3, 6, 8, 10, 1, 2, 1]
print(quicksort(numbers))  # [1, 1, 2, 3, 6, 8, 10]

The algorithm picks a pivot, partitions the list into smaller, equal, and larger elements, then recursively sorts each partition and concatenates the results.
2nd promptWarm — model ready, no init overhead
>Now add type hints and a docstring
def quicksort(arr: list[int]) -> list[int]:
    """Sort a list using the quicksort algorithm.

    Args:
        arr: List of integers to sort.

    Returns:
        A new sorted list.
    """
    if len(arr) <= 1:
        return arr
    pivot = arr[len(arr) // 2]
    left   = [x for x in arr if x < pivot]
    middle = [x for x in arr if x == pivot]
    right  = [x for x in arr if x > pivot]
    return quicksort(left) + middle + quicksort(right)

Added type hints for the input and return type, plus a Google-style docstring.
Estimated: 18.1 tok/s decode · 10.7s TTFT (warm) · 45 tok/s prefill

What limits this setup

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.

Best improvement path

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	C	Runs well	18.1 tok/s	5831 ms	293K
Coding	C	Runs well	18.1 tok/s	10690 ms	293K
Agentic Coding	C	Runs well	18.1 tok/s	15549 ms	293K
Reasoning	C	Runs well	18.1 tok/s	12633 ms	293K
RAG	C	Runs well	18.1 tok/s	19436 ms	293K

Quantization options

How Codestral 21B Pruned i1 (21B params) fits at each quantization level on MacBook Pro M2 Max 96GB (69.1 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	8.2 GB	Low	C40
Q3_K_S	3	10.3 GB	Low	C40
NVFP4	4	11.8 GB	Medium	C41
Q4_K_M	4	12.8 GB	Medium	C41
Q5_K_M	5	15.1 GB	High	C41
Q6_K	6	17.2 GB	High	C42
Q8_0	8	22.5 GB	Very High	C43
F16Best for your GPU	16	43.1 GB	Maximum	C47

Get started

Copy-paste commands to run Codestral 21B Pruned i1 on your machine.

Run

lms load hf-mradermacher--codestral-21b-pruned-i1-gguf && lms server start

升级选项

能流畅运行 Codestral 21B Pruned i1 的硬件

Mac Studio M2 Ultra 128GB经济之选

128 GB Unified (+32)800 GB/s (+400)

Raises estimated decode speed by about 100%.36.2 tok/s 解码

Raises estimated decode speed by about 100%.

Adds memory headroom for longer context windows and future model growth.

~$3,999 MSRP

Mac Studio M1 Ultra 128GB最佳性价比

128 GB Unified (+32)800 GB/s (+400)

Raises estimated decode speed by about 90%.34.3 tok/s 解码

Raises estimated decode speed by about 90%.

Adds memory headroom for longer context windows and future model growth.

~$3,999 MSRP

MacBook Pro M4 Max 128GBApple 升级

128 GB Unified (+32)546 GB/s (+146)

Raises estimated decode speed by about 94%.35.2 tok/s 解码

Raises estimated decode speed by about 94%.

Adds memory headroom for longer context windows and future model growth.

~$4,999 MSRP

Frequently asked questions

Can MacBook Pro M2 Max 96GB run Codestral 21B Pruned i1?

Yes, MacBook Pro M2 Max 96GB can run Codestral 21B Pruned i1 with a C grade (Runs well). Expected decode speed: 18.1 tok/s.

How much VRAM does Codestral 21B Pruned i1 need?

Codestral 21B Pruned i1 (21B parameters) requires approximately 26.5 GB of memory with Q4_K_M quantization.

What is the best quantization for Codestral 21B Pruned i1?

The recommended quantization for Codestral 21B Pruned i1 is Q4_K_M, which balances quality and memory efficiency.

What speed will Codestral 21B Pruned i1 run at on MacBook Pro M2 Max 96GB?

On MacBook Pro M2 Max 96GB, Codestral 21B Pruned i1 achieves approximately 18.1 tokens per second decode speed with a time-to-first-token of 10690ms using Q4_K_M quantization.

Can MacBook Pro M2 Max 96GB run Codestral 21B Pruned i1 for coding?

For coding workloads, Codestral 21B Pruned i1 on MacBook Pro M2 Max 96GB receives a C grade with 18.1 tok/s and 293K context.

What context window can Codestral 21B Pruned i1 use on MacBook Pro M2 Max 96GB?

On MacBook Pro M2 Max 96GB, Codestral 21B Pruned i1 can safely use up to 293K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

Is unified memory on MacBook Pro M2 Max 96GB as fast as VRAM for Codestral 21B Pruned i1?

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.

See all results for MacBook Pro M2 Max 96GB See all hardware for Codestral 21B Pruned i1

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