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Can RTX 5070 run Alibaba-NLP/gte-Qwen2-1.5B-instruct?

Runs Q412GB VRAM availableRequires 3GB+

RTX 5070 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

RTX 5070 can run Alibaba-NLP/gte-Qwen2-1.5B-instruct with Q4 quantization. At approximately 103 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 9GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q43GB12GB103.09 tok/s✅ Fits comfortably
Q85GB12GB69.18 tok/s✅ Fits comfortably
FP1611GB12GB43.92 tok/s⚠️ Tight fit

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

RTX 5070 specs & pricingFull guide for Alibaba-NLP/gte-Qwen2-1.5B-instructAlibaba-NLP/gte-Qwen2-1.5B-instruct speed on RTX 5070Alibaba-NLP/gte-Qwen2-1.5B-instruct Q4 requirements