Can Leanstral 119B A6B run on H100 NVL 188GB?

YES — Runs Great

S89Excellent

Estimated from fit model

Leanstral 119B A6B needs ~102.6 GB VRAM. H100 NVL 188GB has 188.0 GB. With Q4_K_M quantization, expect ~193 tok/s.

Runtime: vLLMCapacity: RoomyBandwidth: HighStack: OptimizedBottleneck: 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) — 102.6 GB, 138.6 tok/s, Runs well

102.6 GB required188.0 GB available

55% VRAM used

Fit status

Runs well

Decode

138.6 tok/s

TTFT

1397 ms

Safe context

172K

Memory

102.6 GB / 188.0 GB

Memory breakdown

Weights72.6 GB

KV Cache8.8 GB

Runtime2.4 GB

Headroom18.8 GB

See how fast it feels

See how fast it feelsLeanstral 119B A6B on H100 NVL 188GB
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: 138.6 tok/s decode · 1.4s TTFT (warm) · 346 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

No major red flags

This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.

Best improvement path

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	S	Runs well	192.5 tok/s	549 ms	172K
Coding	S	Runs well	192.5 tok/s	1006 ms	172K
Agentic Coding	S	Runs well	192.5 tok/s	1463 ms	172K
Reasoning	S	Runs well	192.5 tok/s	1189 ms	172K
RAG	S	Runs well	192.5 tok/s	1829 ms	172K

Quantization options

How Leanstral 119B A6B (119B params) fits at each quantization level on H100 NVL 188GB (188.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	46.4 GB	Low	A77
Q3_K_S	3	58.3 GB	Low	A78
NVFP4	4

Get started

Copy-paste commands to run Leanstral 119B A6B on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
  --hf-repo "mistralai/Leanstral-2603" \
  --hf-file "Leanstral-2603-Q4_K_M.gguf" \
  -c 4096 -ngl 99

Your hardware

More models your H100 NVL 188GB can run

Model	Params	Grade	Decode	Capabilities
Devstral 2 123B Instruct	123B	S	73.3 tok/s
Qwen 3.5 122B A10B	122B	S

Frequently asked questions

Can H100 NVL 188GB run Leanstral 119B A6B?

Yes, H100 NVL 188GB can run Leanstral 119B A6B with a S grade (Runs well). Expected decode speed: 192.5 tok/s.

How much VRAM does Leanstral 119B A6B need?

Leanstral 119B A6B (119B parameters) requires approximately 102.6 GB of memory with Q4_K_M quantization.

What is the best quantization for Leanstral 119B A6B?

The recommended quantization for Leanstral 119B A6B is Q4_K_M, which balances quality and memory efficiency.

What speed will Leanstral 119B A6B run at on H100 NVL 188GB?

On H100 NVL 188GB, Leanstral 119B A6B achieves approximately 192.5 tokens per second decode speed with a time-to-first-token of 1006ms using Q4_K_M quantization.

Can H100 NVL 188GB run Leanstral 119B A6B for coding?

For coding workloads, Leanstral 119B A6B on H100 NVL 188GB receives a S grade with 192.5 tok/s and 172K context.

What context window can Leanstral 119B A6B use on H100 NVL 188GB?

On H100 NVL 188GB, Leanstral 119B A6B can safely use up to 172K tokens of context. The model's official context limit is 256K, but available memory constrains the safe maximum.

See all results for H100 NVL 188GB See all hardware for Leanstral 119B A6B

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