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Can NVIDIA A100 80GB SXM4 run trl-internal-testing/tiny-Qwen2ForCausalLM-2.5?

Runs Q480GB VRAM availableRequires 4GB+

NVIDIA A100 80GB SXM4 meets the minimum VRAM requirement for Q4 inference of trl-internal-testing/tiny-Qwen2ForCausalLM-2.5. 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 trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 with Q4 quantization. At approximately 290 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 76GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB80GB289.50 tok/s✅ Fits comfortably
Q87GB80GB193.45 tok/s✅ Fits comfortably
FP1615GB80GB110.83 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
810.39 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
752.27 tok/s
Price: —
AMD Instinct MI300X
192GB
545.98 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
538.91 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
493.66 tok/s
Price: —

More questions

NVIDIA A100 80GB SXM4 specs & pricingFull guide for trl-internal-testing/tiny-Qwen2ForCausalLM-2.5trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 speed on NVIDIA A100 80GB SXM4trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 Q4 requirements