Can DeepSeek R1 0528 Qwen3 8B run on AMD Instinct MI210 64GB?

YES — Runs Great

C46Usable
Estimated from fit model

DeepSeek R1 0528 Qwen3 8B needs ~13.1 GB VRAM. AMD Instinct MI210 64GB has 64.0 GB. With Q4_K_M quantization, expect ~112 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) 13.1 GB, 112.0 tok/s, Runs well
13.1 GB required64.0 GB available
20% VRAM used

Fit status

Runs well

Decode

112.0 tok/s

TTFT

1729 ms

Safe context

884K

Memory

13.1 GB / 64.0 GB

Memory breakdown

Weights4.9 GB
KV Cache0.9 GB
Runtime0.9 GB
Headroom6.4 GB

See how fast it feels

See how fast it feelsDeepSeek R1 0528 Qwen3 8B 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: 112.0 tok/s decode · 1.7s TTFT (warm) · 280 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 well112.0 tok/s943 ms884K
CodingCRuns well112.0 tok/s1729 ms884K
Agentic CodingCRuns well112.0 tok/s2514 ms884K
ReasoningCRuns well112.0 tok/s2043 ms884K
RAGCRuns well112.0 tok/s3143 ms884K

Quantization options

How DeepSeek R1 0528 Qwen3 8B (8B params) fits at each quantization level on AMD Instinct MI210 64GB (64.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
3.1 GB
LowC40
Q3_K_S
3
3.9 GB
LowC40
NVFP4
4
4.5 GB
MediumC41
Q4_K_M
4
4.9 GB
MediumC41
Q5_K_M
5
5.8 GB
HighC41
Q6_K
6
6.6 GB
HighC41
Q8_0
8
8.6 GB
Very HighC41
F16Best for your GPU
16
16.4 GB
MaximumC43

Get started

Copy-paste commands to run DeepSeek R1 0528 Qwen3 8B on your machine.

Run

lms load hf-maziyarpanahi--deepseek-r1-0528-qwen3-8b-gguf && lms server start

Upgrade-Optionen

Hardware, die DeepSeek R1 0528 Qwen3 8B gut ausführt

Frequently asked questions

Can AMD Instinct MI210 64GB run DeepSeek R1 0528 Qwen3 8B?

Yes, AMD Instinct MI210 64GB can run DeepSeek R1 0528 Qwen3 8B with a C grade (Runs well). Expected decode speed: 112.0 tok/s.

How much VRAM does DeepSeek R1 0528 Qwen3 8B need?

DeepSeek R1 0528 Qwen3 8B (8B parameters) requires approximately 13.1 GB of memory with Q4_K_M quantization.

What is the best quantization for DeepSeek R1 0528 Qwen3 8B?

The recommended quantization for DeepSeek R1 0528 Qwen3 8B is Q4_K_M, which balances quality and memory efficiency.

What speed will DeepSeek R1 0528 Qwen3 8B run at on AMD Instinct MI210 64GB?

On AMD Instinct MI210 64GB, DeepSeek R1 0528 Qwen3 8B achieves approximately 112.0 tokens per second decode speed with a time-to-first-token of 1729ms using Q4_K_M quantization.

Can AMD Instinct MI210 64GB run DeepSeek R1 0528 Qwen3 8B for coding?

For coding workloads, DeepSeek R1 0528 Qwen3 8B on AMD Instinct MI210 64GB receives a C grade with 112.0 tok/s and 884K context.

What context window can DeepSeek R1 0528 Qwen3 8B use on AMD Instinct MI210 64GB?

On AMD Instinct MI210 64GB, DeepSeek R1 0528 Qwen3 8B can safely use up to 884K 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 DeepSeek R1 0528 Qwen3 8B
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