Will It Run AI

Can cognitivecomputations Dolphin3.0 R1 Mistral 24B run on AMD Instinct MI300A 128GB?

YES — Runs Great

C47Usable
Estimated from fit model

cognitivecomputations Dolphin3.0 R1 Mistral 24B needs ~31.2 GB VRAM. AMD Instinct MI300A 128GB has 128.0 GB. With Q4_K_M quantization, expect ~253 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) — 31.2 GB, 253.4 tok/s, Runs well
31.2 GB required128.0 GB available
24% VRAM used

Fit status

Runs well

Decode

253.4 tok/s

TTFT

764 ms

Safe context

567K

Memory

31.2 GB / 128.0 GB

Memory breakdown

Weights14.6 GB
KV Cache2.8 GB
Runtime0.9 GB
Headroom12.8 GB

See how fast it feels

See how fast it feelscognitivecomputations Dolphin3.0 R1 Mistral 24B on AMD Instinct MI300A 128GB
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: 253.4 tok/s decode · 764ms TTFT (warm) · 634 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
ChatCRuns well253.4 tok/s417 ms567K
CodingCRuns well253.4 tok/s764 ms567K
Agentic CodingCRuns well253.4 tok/s1111 ms567K
ReasoningCRuns well253.4 tok/s903 ms567K
RAGCRuns well253.4 tok/s1389 ms567K

Quantization options

How cognitivecomputations Dolphin3.0 R1 Mistral 24B (24B params) fits at each quantization level on AMD Instinct MI300A 128GB (128.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
9.4 GB
LowD38
Q3_K_S
3
11.8 GB
LowD38
NVFP4
4
13.4 GB
MediumD39
Q4_K_M
4
14.6 GB
MediumD39
Q5_K_M
5
17.3 GB
HighD39
Q6_K
6
19.7 GB
HighD39
Q8_0
8
25.7 GB
Very HighD40
F16Best for your GPU
16
49.2 GB
MaximumC44

Get started

Copy-paste commands to run cognitivecomputations Dolphin3.0 R1 Mistral 24B on your machine.

Run

lms load hf-bartowski--cognitivecomputations-dolphin3-0-r1-mistral-24b-gguf && lms server start

Frequently asked questions

Can AMD Instinct MI300A 128GB run cognitivecomputations Dolphin3.0 R1 Mistral 24B?

Yes, AMD Instinct MI300A 128GB can run cognitivecomputations Dolphin3.0 R1 Mistral 24B with a C grade (Runs well). Expected decode speed: 253.4 tok/s.

How much VRAM does cognitivecomputations Dolphin3.0 R1 Mistral 24B need?

cognitivecomputations Dolphin3.0 R1 Mistral 24B (24B parameters) requires approximately 31.2 GB of memory with Q4_K_M quantization.

What is the best quantization for cognitivecomputations Dolphin3.0 R1 Mistral 24B?

The recommended quantization for cognitivecomputations Dolphin3.0 R1 Mistral 24B is Q4_K_M, which balances quality and memory efficiency.

What speed will cognitivecomputations Dolphin3.0 R1 Mistral 24B run at on AMD Instinct MI300A 128GB?

On AMD Instinct MI300A 128GB, cognitivecomputations Dolphin3.0 R1 Mistral 24B achieves approximately 253.4 tokens per second decode speed with a time-to-first-token of 764ms using Q4_K_M quantization.

Can AMD Instinct MI300A 128GB run cognitivecomputations Dolphin3.0 R1 Mistral 24B for coding?

For coding workloads, cognitivecomputations Dolphin3.0 R1 Mistral 24B on AMD Instinct MI300A 128GB receives a C grade with 253.4 tok/s and 567K context.

What context window can cognitivecomputations Dolphin3.0 R1 Mistral 24B use on AMD Instinct MI300A 128GB?

On AMD Instinct MI300A 128GB, cognitivecomputations Dolphin3.0 R1 Mistral 24B can safely use up to 567K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

See all results for AMD Instinct MI300A 128GBSee all hardware for cognitivecomputations Dolphin3.0 R1 Mistral 24B
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