Will It Run AI

Can Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 run on MacBook Pro M3 Max 48GB?

YES — Runs Great

C51Usable
Estimated from fit model

Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 needs ~23.5 GB VRAM. MacBook Pro M3 Max 48GB has 34.6 GB. With Q4_K_M quantization, expect ~16 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: LowStack: StandardBottleneck: Balanced
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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) — 23.5 GB, 16.4 tok/s, Runs well
23.5 GB required34.6 GB available
68% VRAM used

Fit status

Runs well

Decode

16.4 tok/s

TTFT

11810 ms

Safe context

79K

Memory

23.5 GB / 34.6 GB

Memory breakdown

Weights14.6 GB
KV Cache2.8 GB
Runtime0.9 GB
Headroom5.2 GB

See how fast it feels

See how fast it feelsDolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 on MacBook Pro M3 Max 48GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step. Given information: - Speed = 60 mph (miles per hour) - Time = 2.5 hours Formula: Distance = Speed x Time Calculation: Distance = 60 mph x 2.5 h = 150 miles The train travels 150 miles. Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time. Breakdown: - First half: 1.25 hours at 60 mph = 75 miles - Stop: 20 minutes (no distance) - Second half: 1.25 hours at 60 mph = 75 miles Total distance: 150 miles (same) Total time: 2.5 h + 0.33 h = 2.83 hours Average speed: 150 / 2.83 = 53 mph The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 16.4 tok/s decode · 11.8s TTFT (warm) · 41 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

WorkloadGradeFitDecodeTTFTContext
ChatCRuns well16.4 tok/s6442 ms79K
CodingCRuns well16.4 tok/s11810 ms79K
Agentic CodingCRuns well16.4 tok/s17178 ms79K
ReasoningCRuns well16.4 tok/s13957 ms79K
RAGCRuns well16.4 tok/s21472 ms79K

Quantization options

How Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 (24B params) fits at each quantization level on MacBook Pro M3 Max 48GB (34.6 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
9.4 GB
LowC45
Q3_K_S
3
11.8 GB
LowC46
NVFP4
4
13.4 GB
MediumC47
Q4_K_M
4
14.6 GB
MediumC47
Q5_K_M
5
17.3 GB
HighC49
Q6_K
6
19.7 GB
HighC49
Q8_0Best for your GPU
8
25.7 GB
Very HighC48
F16
16
49.2 GB
MaximumF0

Get started

Copy-paste commands to run Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 on your machine.

Run

lms load hf-mradermacher--dolphin-mistral-glm-4-7-flash-24b-venice-edition-thinking-uncensored-i1-gguf && lms server start

Opciones de mejora

Hardware que ejecuta bien Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1

NVIDIARTX PRO 5000 Blackwell 48GBOpción económica
1344 GB/s (+944)
C
Sube la velocidad estimada de decodificación alrededor de un 370%.77.1 tok/s decodificación

Sube la velocidad estimada de decodificación alrededor de un 370%.

Añade margen de memoria para más contexto y para que el modelo envejezca mejor.

~$4,999 MSRP

NVIDIANVIDIA A100 40GBMejor relación calidad-precio
1555 GB/s (+1155)
C
Sube la velocidad estimada de decodificación alrededor de un 444%.89.2 tok/s decodificación

Sube la velocidad estimada de decodificación alrededor de un 444%.

~$10,000 MSRP

Frequently asked questions

Can MacBook Pro M3 Max 48GB run Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1?

Yes, MacBook Pro M3 Max 48GB can run Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 with a C grade (Runs well). Expected decode speed: 16.4 tok/s.

How much VRAM does Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 need?

Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 (24B parameters) requires approximately 23.5 GB of memory with Q4_K_M quantization.

What is the best quantization for Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1?

The recommended quantization for Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 is Q4_K_M, which balances quality and memory efficiency.

What speed will Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 run at on MacBook Pro M3 Max 48GB?

On MacBook Pro M3 Max 48GB, Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 achieves approximately 16.4 tokens per second decode speed with a time-to-first-token of 11810ms using Q4_K_M quantization.

Can MacBook Pro M3 Max 48GB run Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 for coding?

For coding workloads, Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 on MacBook Pro M3 Max 48GB receives a C grade with 16.4 tok/s and 79K context.

What context window can Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 use on MacBook Pro M3 Max 48GB?

On MacBook Pro M3 Max 48GB, Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1 can safely use up to 79K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

Is unified memory on MacBook Pro M3 Max 48GB as fast as VRAM for Dolphin Mistral GLM 4.7 Flash 24B Venice Edition Thinking Uncensored i1?

Not always. MacBook Pro M3 Max 48GB 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.

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