Will It Run AI

Can cognitivecomputations Dolphin3.0 R1 Mistral 24B run on AMD Instinct MI210 64GB?

YES — Runs Great

C50Usable
Estimated from fit model

cognitivecomputations Dolphin3.0 R1 Mistral 24B needs ~24.8 GB VRAM. AMD Instinct MI210 64GB has 64.0 GB. With Q4_K_M quantization, expect ~76 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) — 24.8 GB, 76.1 tok/s, Runs well
24.8 GB required64.0 GB available
39% VRAM used

Fit status

Runs well

Decode

76.1 tok/s

TTFT

2545 ms

Safe context

239K

Memory

24.8 GB / 64.0 GB

Memory breakdown

Weights14.6 GB
KV Cache2.8 GB
Runtime0.9 GB
Headroom6.4 GB

See how fast it feels

See how fast it feelscognitivecomputations Dolphin3.0 R1 Mistral 24B on AMD Instinct MI210 64GB
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: 76.1 tok/s decode · 2.5s TTFT (warm) · 190 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 well76.1 tok/s1388 ms239K
CodingCRuns well76.1 tok/s2545 ms239K
Agentic CodingCRuns well76.1 tok/s3701 ms239K
ReasoningCRuns well76.1 tok/s3007 ms239K
RAGCRuns well76.1 tok/s4627 ms239K

Quantization options

How cognitivecomputations Dolphin3.0 R1 Mistral 24B (24B params) fits at each quantization level on AMD Instinct MI210 64GB (64.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
9.4 GB
LowC41
Q3_K_S
3
11.8 GB
LowC42
NVFP4
4
13.4 GB
MediumC42
Q4_K_M
4
14.6 GB
MediumC42
Q5_K_M
5
17.3 GB
HighC43
Q6_K
6
19.7 GB
HighC43
Q8_0
8
25.7 GB
Very HighC45
F16Best for your GPU
16
49.2 GB
MaximumC48

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 MI210 64GB run cognitivecomputations Dolphin3.0 R1 Mistral 24B?

Yes, AMD Instinct MI210 64GB can run cognitivecomputations Dolphin3.0 R1 Mistral 24B with a C grade (Runs well). Expected decode speed: 76.1 tok/s.

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

cognitivecomputations Dolphin3.0 R1 Mistral 24B (24B parameters) requires approximately 24.8 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 MI210 64GB?

On AMD Instinct MI210 64GB, cognitivecomputations Dolphin3.0 R1 Mistral 24B achieves approximately 76.1 tokens per second decode speed with a time-to-first-token of 2545ms using Q4_K_M quantization.

Can AMD Instinct MI210 64GB run cognitivecomputations Dolphin3.0 R1 Mistral 24B for coding?

For coding workloads, cognitivecomputations Dolphin3.0 R1 Mistral 24B on AMD Instinct MI210 64GB receives a C grade with 76.1 tok/s and 239K context.

What context window can cognitivecomputations Dolphin3.0 R1 Mistral 24B use on AMD Instinct MI210 64GB?

On AMD Instinct MI210 64GB, cognitivecomputations Dolphin3.0 R1 Mistral 24B can safely use up to 239K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

See all results for AMD Instinct MI210 64GBSee all hardware for cognitivecomputations Dolphin3.0 R1 Mistral 24B
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