Will It Run AI

Can speechless zephyr code functionary 7b run on Gaudi 3 128GB?

YES — Runs Great

C45Usable
Estimated from fit model

speechless zephyr code functionary 7b needs ~18.8 GB VRAM. Gaudi 3 128GB has 128.0 GB. With Q4_K_M quantization, expect ~98 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: StandardBottleneck: Balanced
Share:

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) — 18.8 GB, 98.0 tok/s, Runs well
18.8 GB required128.0 GB available
15% VRAM used

Fit status

Runs well

Decode

98.0 tok/s

TTFT

1976 ms

Safe context

2.1M

Memory

18.8 GB / 128.0 GB

Memory breakdown

Weights4.3 GB
KV Cache0.8 GB
Runtime0.9 GB
Headroom12.8 GB

See how fast it feels

See how fast it feelsspeechless zephyr code functionary 7b on Gaudi 3 128GB
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: 98.0 tok/s decode · 2.0s TTFT (warm) · 245 tok/s prefill

What limits this setup

The raw memory story may look fine, but the software ecosystem is still a constraint here.

Runtime ecosystem is narrower than CUDA

Intel GPUs can look attractive on memory per dollar, but local AI tooling, kernels, and model coverage are still broader and easier on CUDA today.

Best improvement path

Prefer CUDA if you want the path of least resistance

If your goal is maximum runtime coverage, easier troubleshooting, and better support for new local AI releases, CUDA is usually still the safer upgrade path.

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatCRuns well98.0 tok/s1078 ms2.1M
CodingCRuns well98.0 tok/s1976 ms2.1M
Agentic CodingCRuns well98.0 tok/s2873 ms2.1M
ReasoningCRuns well98.0 tok/s2335 ms2.1M
RAGCRuns well98.0 tok/s3592 ms2.1M

Quantization options

How speechless zephyr code functionary 7b (7B params) fits at each quantization level on Gaudi 3 128GB (128.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
2.7 GB
LowD38
Q3_K_S
3
3.4 GB
LowD38
NVFP4
4
3.9 GB
MediumD38
Q4_K_M
4
4.3 GB
MediumD38
Q5_K_M
5
5.0 GB
HighD38
Q6_K
6
5.7 GB
HighD38
Q8_0
8
7.5 GB
Very HighD38
F16Best for your GPU
16
14.3 GB
MaximumD38

Get started

Copy-paste commands to run speechless zephyr code functionary 7b on your machine.

Run

lms load hf-uukuguy--speechless-zephyr-code-functionary-7b && lms server start

Opciones de mejora

Hardware que ejecuta bien speechless zephyr code functionary 7b

Mac Studio M3 Ultra 256GBOpción económica
256 GB Unified (+128)
C
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.98 tok/s decodificación

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

~$6,999 MSRP

Frequently asked questions

Can Gaudi 3 128GB run speechless zephyr code functionary 7b?

Yes, Gaudi 3 128GB can run speechless zephyr code functionary 7b with a C grade (Runs well). Expected decode speed: 98.0 tok/s.

How much VRAM does speechless zephyr code functionary 7b need?

speechless zephyr code functionary 7b (7B parameters) requires approximately 18.8 GB of memory with Q4_K_M quantization.

What is the best quantization for speechless zephyr code functionary 7b?

The recommended quantization for speechless zephyr code functionary 7b is Q4_K_M, which balances quality and memory efficiency.

What speed will speechless zephyr code functionary 7b run at on Gaudi 3 128GB?

On Gaudi 3 128GB, speechless zephyr code functionary 7b achieves approximately 98.0 tokens per second decode speed with a time-to-first-token of 1976ms using Q4_K_M quantization.

Can Gaudi 3 128GB run speechless zephyr code functionary 7b for coding?

For coding workloads, speechless zephyr code functionary 7b on Gaudi 3 128GB receives a C grade with 98.0 tok/s and 2.1M context.

What context window can speechless zephyr code functionary 7b use on Gaudi 3 128GB?

On Gaudi 3 128GB, speechless zephyr code functionary 7b can safely use up to 2.1M tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

What should I upgrade first if speechless zephyr code functionary 7b feels slow on Gaudi 3 128GB?

Prefer CUDA if you want the path of least resistance. If your goal is maximum runtime coverage, easier troubleshooting, and better support for new local AI releases, CUDA is usually still the safer upgrade path.

Would CUDA be a better path than Gaudi 3 128GB for speechless zephyr code functionary 7b?

Often yes, if your goal is the easiest setup and the widest runtime support. Intel can offer attractive memory capacity, but CUDA still tends to win on tooling maturity, guides, kernels, and model coverage for local AI.

See all results for Gaudi 3 128GBSee all hardware for speechless zephyr code functionary 7b
Embed this result▼

Paste this snippet into any page to show a live fit card.

<iframe src="https://willitrunai.com/embed/hf-uukuguy--speechless-zephyr-code-functionary-7b-on-gaudi-3-128gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview: