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AMD RX 6650 XT (8GB)

The AMD RX 6650 XT (8GB) provides 8 GB of memory with 280 GB/s bandwidth, supporting local inference via ROCm and Vulkan acceleration.

Memory

8 GB

Usable Memory Ceiling

8 GB

Bandwidth

280 GB/s

Max Inference Class

8B Models (Q4)

TDP

180W

VRAM Scaling by Context Length

Estimated memory requirements as context length increases. Curves crossing above the reference line indicate Out of Memory (OOM).

Gemma 3 270M (0.27B)Phi-2 (2.7B)Mistral-7B-v0.1 (7.3B)ERNIE-4.5-21B-A3B-Base (21B (3B active))

Precision:

Best Models to Run on AMD RX 6650 XT (8GB)

Inference throughput, memory compatibility, and generation speeds for open-weights LLMs on AMD RX 6650 XT (8GB).

Sort by:

Context:

KV Cache:

GPUs:

RankModelParametersPrecisionTPS (Approx.)TTFTCan Run

#125

Qwen3.5-9B

9B

INT4

39 tok/s

~5.2s

#128

K2 Horizon 7B

7B

INT4

48 tok/s

~4.0s

#140

Qwen3.5-4B

4B

INT4
Q8

74 tok/s

47 tok/s

~2.4s

~2.4s

#150

NVIDIA Nemotron 3 Nano 30B-A3B

3.5B (30B active)

INT4
Q8

13 tok/s

7 tok/s

~16.3s

~17.7s

#158

Granite 4.2 8B

8B

INT4

43 tok/s

~4.6s

#159

Gemma 4 E4B

8B

INT4

43 tok/s

~4.6s

#178

OLMo 3 7B Think

7B

INT4

32 tok/s

~4.4s

#186

Gemma 3 12B

12B

INT4

28 tok/s

~8.1s

#189

Ministral 3 8B

8B

INT4

28 tok/s

~5.4s

#191

MiniCPM5-2B

2B

INT4
Q8
FP16

113 tok/s

79 tok/s

48 tok/s

~1.3s

~1.3s

~1.3s

#192

Qwen3.5-2B

2B

INT4
Q8
FP16

113 tok/s

79 tok/s

48 tok/s

~1.3s

~1.3s

~1.3s

#200

Gemma 4 E2B

5.1B

INT4
Q8

62 tok/s

37 tok/s

~3.0s

~3.2s

#202

DeepSeek-R1 8B

8B

INT4

44 tok/s

~4.6s

#204

Qwen3-4B

4B

INT4
Q8

74 tok/s

47 tok/s

~2.4s

~2.4s

#205

Ministral 3 3B

3B

INT4
Q8

59 tok/s

45 tok/s

~1.8s

~1.8s

#207

Gemma 2 9B

9B

INT4

39 tok/s

~5.2s

#208

Qwen3.5-0.8B

0.8B

INT4
Q8
FP16

177 tok/s

140 tok/s

95 tok/s

~514 ms

~515 ms

~518 ms

#210

Gemma 3 4B

4B

INT4
Q8

74 tok/s

47 tok/s

~2.4s

~2.4s

#211

Qwen3-8B

8B

INT4

43 tok/s

~4.6s

#213

DeepSeek-R1 7B

7B

INT4
Q8

50 tok/s

27 tok/s

~4.0s

~4.8s

Inference Capacity

Maximum model parameter class runnable by weight precision.

Context:

4-bit

Q4

8B Models

8-bit

Q8

3B Models

16-bit

FP16

< 1B Models

Fine-Tuning Capacity

Hardware capacity for local training and adapter fine-tuning.

Context Length:

QLoRA

4-bit

8B Models

LoRA

16-bit

3B Models

Full Parameter Training

< 1B Models

Workload Recommendations

Guidance for optimal precision and operational ceilings on AMD RX 6650 XT (8GB).

Inference Sweet Spot

Recommended for lightweight models (1B to 3B) at FP16/Q8, and 7B/8B models at aggressive 4-bit quantizations.

Bandwidth & Speed Profile

With 280 GB/s aggregate bandwidth, batch size 1 inference operates in a memory-bandwidth bound regime. Generates approximately 62 tok/s on an 8B Q4 model and 7 tok/s on a 70B Q4 model.

Frequently Asked Questions