Can Qwen 2.5 Coder 3B run on RX 5600 XT 6GB?

YES — Tight Fit

A77Great
Estimated from fit model

Qwen 2.5 Coder 3B needs ~5.5 GB VRAM. RX 5600 XT 6GB has 6.0 GB. With Q4_K_M quantization, expect ~42 tok/s.

Runtime: llama.cppCapacity: TightBandwidth: LowStack: 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) 5.5 GB, 42.0 tok/s, Tight fit
5.5 GB required6.0 GB available
92% VRAM used

Fit status

Tight fit

Decode

42.0 tok/s

TTFT

4610 ms

Safe context

19K

Memory

5.5 GB / 6.0 GB

Memory breakdown

Weights1.8 GB
KV Cache2.2 GB
Runtime0.9 GB
Headroom0.6 GB

See how fast it feels

See how fast it feelsQwen 2.5 Coder 3B on RX 5600 XT 6GB
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: 42.0 tok/s decode · 4.6s TTFT (warm) · 105 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
ChatARuns well42.0 tok/s2514 ms19K
CodingATight fit42.0 tok/s4610 ms19K
Agentic CodingFToo heavy37.9 tok/s7437 ms19K
ReasoningATight fit42.0 tok/s5448 ms19K
RAGFToo heavy37.9 tok/s9296 ms19K

Quantization options

How Qwen 2.5 Coder 3B (3B params) fits at each quantization level on RX 5600 XT 6GB (6.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
1.2 GB
LowA79
Q3_K_S
3
1.5 GB
LowA80
NVFP4
4
1.7 GB
MediumA80
Q4_K_M
4
1.8 GB
MediumA80
Q5_K_M
5
2.2 GB
HighA80
Q6_K
6
2.5 GB
HighA80
Q8_0Best for your GPU
8
3.2 GB
Very HighA79
F16
16
6.1 GB
MaximumF0

Get started

Copy-paste commands to run Qwen 2.5 Coder 3B on your machine.

Run

ollama run qwen2.5-coder:3b

Your hardware

More models your RX 5600 XT 6GB can run

ModelParamsGradeDecodeCapabilities
AlibabaQwen 3.5 4B4BS47.2 tok/s
MicrosoftPhi-4 Mini Reasoning 4B3.8BS53.2 tok/s
AlibabaQwen 3 4B4BA47.2 tok/s
AlibabaQwen 2.5 VL 7B7BB23.2 tok/s
AlibabaQwen 2.5 7B7BB23.2 tok/s

Frequently asked questions

Can RX 5600 XT 6GB run Qwen 2.5 Coder 3B?

Yes, RX 5600 XT 6GB can run Qwen 2.5 Coder 3B with a A grade (Tight fit). Expected decode speed: 42.0 tok/s.

How much VRAM does Qwen 2.5 Coder 3B need?

Qwen 2.5 Coder 3B (3B parameters) requires approximately 5.5 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 2.5 Coder 3B?

The recommended quantization for Qwen 2.5 Coder 3B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 2.5 Coder 3B run at on RX 5600 XT 6GB?

On RX 5600 XT 6GB, Qwen 2.5 Coder 3B achieves approximately 42.0 tokens per second decode speed with a time-to-first-token of 4610ms using Q4_K_M quantization.

Can RX 5600 XT 6GB run Qwen 2.5 Coder 3B for coding?

For coding workloads, Qwen 2.5 Coder 3B on RX 5600 XT 6GB receives a A grade with 42.0 tok/s and 19K context.

What context window can Qwen 2.5 Coder 3B use on RX 5600 XT 6GB?

On RX 5600 XT 6GB, Qwen 2.5 Coder 3B can safely use up to 19K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for RX 5600 XT 6GBSee all hardware for Qwen 2.5 Coder 3B
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<iframe src="https://willitrunai.com/embed/qwen-2.5-coder-3b-on-rx-5600-xt-6gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

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