Will It Run AI

Can Leanstral 119B A6B run on AMD Instinct MI325X 256GB?

YES — Runs Great

S87Excellent
Estimated from fit model

Leanstral 119B A6B needs ~109.4 GB VRAM. AMD Instinct MI325X 256GB has 256.0 GB. With Q4_K_M quantization, expect ~133 tok/s.

Runtime: vLLMCapacity: RoomyBandwidth: HighStack: OptimizedBottleneck: 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) 109.4 GB, 133.4 tok/s, Runs well
109.4 GB required256.0 GB available
43% VRAM used

Fit status

Runs well

Decode

133.4 tok/s

TTFT

1451 ms

Safe context

256K

Memory

109.4 GB / 256.0 GB

Memory breakdown

Weights72.6 GB
KV Cache8.8 GB
Runtime2.4 GB
Headroom25.6 GB

See how fast it feels

See how fast it feelsLeanstral 119B A6B on AMD Instinct MI325X 256GB
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: 133.4 tok/s decode · 1.5s TTFT (warm) · 334 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

WorkloadGradeFitDecodeTTFTContext
ChatSRuns well133.4 tok/s791 ms256K
CodingSRuns well133.4 tok/s1451 ms256K
Agentic CodingSRuns well133.4 tok/s2111 ms256K
ReasoningSRuns well133.4 tok/s1715 ms256K
RAGSRuns well133.4 tok/s2638 ms256K

Quantization options

How Leanstral 119B A6B (119B params) fits at each quantization level on AMD Instinct MI325X 256GB (256.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
46.4 GB
LowA75
Q3_K_S
3
58.3 GB
LowA76
NVFP4
4
66.6 GB
MediumA77
Q4_K_M
4
72.6 GB
MediumA78
Q5_K_M
5
85.7 GB
HighA79
Q6_K
6
97.6 GB
HighA80
Q8_0Best for your GPU
8
127.3 GB
Very HighA82
F16
16
244.0 GB
MaximumF0

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 AMD Instinct MI325X 256GB can run

ModelParamsGradeDecodeCapabilities
MistralDevstral 2 123B Instruct123BS50.8 tok/s
AlibabaQwen 3.5 122B A10B122BS133.8 tok/s
DeepSeekDeepSeek V4 Flash284BS71.7 tok/s
Mistral AIPixtral Large 124B124BS50.4 tok/s
AlibabaQwen 3 235B A22B235BS67.7 tok/s

Frequently asked questions

Can AMD Instinct MI325X 256GB run Leanstral 119B A6B?

Yes, AMD Instinct MI325X 256GB can run Leanstral 119B A6B with a S grade (Runs well). Expected decode speed: 133.4 tok/s.

How much VRAM does Leanstral 119B A6B need?

Leanstral 119B A6B (119B parameters) requires approximately 109.4 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 AMD Instinct MI325X 256GB?

On AMD Instinct MI325X 256GB, Leanstral 119B A6B achieves approximately 133.4 tokens per second decode speed with a time-to-first-token of 1451ms using Q4_K_M quantization.

Can AMD Instinct MI325X 256GB run Leanstral 119B A6B for coding?

For coding workloads, Leanstral 119B A6B on AMD Instinct MI325X 256GB receives a S grade with 133.4 tok/s and 256K context.

What context window can Leanstral 119B A6B use on AMD Instinct MI325X 256GB?

On AMD Instinct MI325X 256GB, Leanstral 119B A6B can safely use up to 256K tokens of context. The model's official context limit is 256K, but available memory constrains the safe maximum.

See all results for AMD Instinct MI325X 256GBSee all hardware for Leanstral 119B A6B
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