Will It Run AI

Can GGUF SOLARized GraniStral 14B 1902 YeAM HCT run on Mac Studio M1 Ultra 128GB?

YES — Runs Great

C45Usable
Estimated from fit model

GGUF SOLARized GraniStral 14B 1902 YeAM HCT needs ~24.9 GB VRAM. Mac Studio M1 Ultra 128GB has 92.2 GB. With Q4_K_M quantization, expect ~52 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: 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) — 24.9 GB, 51.5 tok/s, Runs well
24.9 GB required92.2 GB available
27% VRAM used

Fit status

Runs well

Decode

51.5 tok/s

TTFT

3758 ms

Safe context

672K

Memory

24.9 GB / 92.2 GB

Memory breakdown

Weights8.5 GB
KV Cache1.6 GB
Runtime0.9 GB
Headroom13.8 GB

See how fast it feels

See how fast it feelsGGUF SOLARized GraniStral 14B 1902 YeAM HCT on Mac Studio M1 Ultra 128GB
1st promptCold start — includes initialization
>What is local AI inference?
Local AI inference means running an AI language model directly on your own hardware — your laptop, desktop, or server — instead of sending requests to a remote cloud API. When you run inference locally the model weights are loaded into your GPU or unified memory. Each token you generate requires reading those weights from memory, so memory bandwidth is the main bottleneck for decode speed. Key benefits of running locally: - Full privacy: your prompts never leave your machine - No per-token cost or rate limits - Works offline once the model is downloaded - Latency depends only on your hardware
2nd promptWarm — model ready, no init overhead
>How much VRAM do I need?
It depends on the model size and quantization level. A rough rule of thumb: Model size Q4 (4-bit) Q8 (8-bit) FP16 7B params ~4.3 GB ~7.5 GB ~14 GB 13B params ~7.9 GB ~13.9 GB ~26 GB 70B params ~42.7 GB ~74.9 GB ~140 GB Most people use 4-bit quantization (Q4_K_M) which gives 90-95% of full quality at a fraction of the memory. A 24 GB GPU can comfortably run most 7B-13B models.
Estimated: 51.5 tok/s decode · 3.8s TTFT (warm) · 129 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 well51.5 tok/s2050 ms672K
CodingCRuns well51.5 tok/s3758 ms672K
Agentic CodingCRuns well51.5 tok/s5466 ms672K
ReasoningCRuns well51.5 tok/s4441 ms672K
RAGCRuns well51.5 tok/s6832 ms672K

Quantization options

How GGUF SOLARized GraniStral 14B 1902 YeAM HCT (14B params) fits at each quantization level on Mac Studio M1 Ultra 128GB (92.2 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
5.5 GB
LowD39
Q3_K_S
3
6.9 GB
LowD39
NVFP4
4
7.8 GB
MediumD39
Q4_K_M
4
8.5 GB
MediumD39
Q5_K_M
5
10.1 GB
HighD39
Q6_K
6
11.5 GB
HighD39
Q8_0
8
15.0 GB
Very HighD40
F16Best for your GPU
16
28.7 GB
MaximumC42

Get started

Copy-paste commands to run GGUF SOLARized GraniStral 14B 1902 YeAM HCT on your machine.

Run

lms load hf-srs6901--gguf-solarized-granistral-14b-1902-yeam-hct && lms server start

Opciones de mejora

Hardware que ejecuta bien GGUF SOLARized GraniStral 14B 1902 YeAM HCT

NVIDIARTX PRO 6000 Blackwell Workstation Edition 96GBOpción económica
1792 GB/s (+992)
C
Sube la velocidad estimada de decodificación alrededor de un 242%.176.3 tok/s decodificación

Sube la velocidad estimada de decodificación alrededor de un 242%.

~$9,999 MSRP

NVIDIARTX PRO 6000 Blackwell Server Edition 96GBMejor relación calidad-precio
1597 GB/s (+797)
C
Sube la velocidad estimada de decodificación alrededor de un 205%.157.1 tok/s decodificación

Sube la velocidad estimada de decodificación alrededor de un 205%.

~$9,999 MSRP

Frequently asked questions

Can Mac Studio M1 Ultra 128GB run GGUF SOLARized GraniStral 14B 1902 YeAM HCT?

Yes, Mac Studio M1 Ultra 128GB can run GGUF SOLARized GraniStral 14B 1902 YeAM HCT with a C grade (Runs well). Expected decode speed: 51.5 tok/s.

How much VRAM does GGUF SOLARized GraniStral 14B 1902 YeAM HCT need?

GGUF SOLARized GraniStral 14B 1902 YeAM HCT (14B parameters) requires approximately 24.9 GB of memory with Q4_K_M quantization.

What is the best quantization for GGUF SOLARized GraniStral 14B 1902 YeAM HCT?

The recommended quantization for GGUF SOLARized GraniStral 14B 1902 YeAM HCT is Q4_K_M, which balances quality and memory efficiency.

What speed will GGUF SOLARized GraniStral 14B 1902 YeAM HCT run at on Mac Studio M1 Ultra 128GB?

On Mac Studio M1 Ultra 128GB, GGUF SOLARized GraniStral 14B 1902 YeAM HCT achieves approximately 51.5 tokens per second decode speed with a time-to-first-token of 3758ms using Q4_K_M quantization.

Can Mac Studio M1 Ultra 128GB run GGUF SOLARized GraniStral 14B 1902 YeAM HCT for coding?

For coding workloads, GGUF SOLARized GraniStral 14B 1902 YeAM HCT on Mac Studio M1 Ultra 128GB receives a C grade with 51.5 tok/s and 672K context.

What context window can GGUF SOLARized GraniStral 14B 1902 YeAM HCT use on Mac Studio M1 Ultra 128GB?

On Mac Studio M1 Ultra 128GB, GGUF SOLARized GraniStral 14B 1902 YeAM HCT can safely use up to 672K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

Is unified memory on Mac Studio M1 Ultra 128GB as fast as VRAM for GGUF SOLARized GraniStral 14B 1902 YeAM HCT?

Not always. Mac Studio M1 Ultra 128GB 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 Mac Studio M1 Ultra 128GBSee all hardware for GGUF SOLARized GraniStral 14B 1902 YeAM HCT
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