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Can NVIDIA A100 80GB SXM4 run Alibaba-NLP/gte-Qwen2-1.5B-instruct?

Runs Q480GB VRAM availableRequires 3GB+

NVIDIA A100 80GB SXM4 meets the minimum VRAM requirement for Q4 inference of Alibaba-NLP/gte-Qwen2-1.5B-instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

NVIDIA A100 80GB SXM4 can run Alibaba-NLP/gte-Qwen2-1.5B-instruct with Q4 quantization. At approximately 283 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 77GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q43GB80GB282.80 tok/s✅ Fits comfortably
Q85GB80GB220.17 tok/s✅ Fits comfortably
FP1611GB80GB107.59 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
829.94 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
664.84 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
525.33 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
522.69 tok/s
Price: —
AMD Instinct MI300X
192GB
484.94 tok/s
Price: —

More questions

NVIDIA A100 80GB SXM4 specs & pricingFull guide for Alibaba-NLP/gte-Qwen2-1.5B-instructAlibaba-NLP/gte-Qwen2-1.5B-instruct speed on NVIDIA A100 80GB SXM4Alibaba-NLP/gte-Qwen2-1.5B-instruct Q4 requirements