What fits in a V100's 16 GB?

Models that fit at FP16 (16 GB)

• google-bert/bert-base-uncased (110M)
• Qwen/Qwen3-0.6B (752M)
• openai-community/gpt2 (137M)
• Qwen/Qwen2.5-1.5B-Instruct (1.5B)
• Qwen/Qwen2.5-3B-Instruct (3.1B)
• Qwen/Qwen3.5-4B (4.7B)
• openai/whisper-large-v3-turbo (809M)
• Qwen/Qwen3-Embedding-0.6B (596M)
• meta-llama/Llama-3.2-1B-Instruct (1.2B)
• Qwen/Qwen3-4B (4.0B)
• Qwen/Qwen2.5-0.5B-Instruct (494M)
• openai/whisper-large-v3 (1.5B)
• Qwen/Qwen3-ASR-1.7B (2.3B)
• Qwen/Qwen3-VL-4B-Instruct (4.4B)
• Qwen/Qwen2.5-VL-3B-Instruct (3.8B)
• Qwen/Qwen3-1.7B (2.0B)
• EleutherAI/pythia-160m (213M)
• Qwen/Qwen3-4B-Instruct-2507 (4.0B)
• google/gemma-4-E2B-it (5.1B)
• Qwen/Qwen3-Embedding-4B (4.0B)
• google/gemma-3-1b-it (1000M)
• baidu/Unlimited-OCR (3.3B)
• RadixArk/Kimi-K3-DSpark (2.2B)
• openai/whisper-small (242M)
• datalab-to/chandra-ocr-2 (5.3B)
• Qwen/Qwen3-VL-2B-Instruct (2.1B)
• Qwen/Qwen3.5-2B (2.3B)
• microsoft/Florence-2-base (232M)
• HuggingFaceTB/SmolLM2-135M (135M)
• MahmoudAshraf/mms-300m-1130-forced-aligner (315M)
• deepseek-ai/DeepSeek-OCR (3.3B)
• Qwen/Qwen3.5-0.8B (873M)
• Qwen/Qwen3-Reranker-4B (4.0B)
• facebook/sam3 (860M)
• mistralai/Voxtral-Mini-4B-Realtime-2602 (4.4B)
• llava-hf/llava-1.5-7b-hf (7.1B)
• zai-org/GLM-OCR (1.3B)
• Qwen/Qwen3-VL-Reranker-2B (2.1B)
• mlx-community/parakeet-tdt-0.6b-v2 (618M)
• prism-ml/Bonsai-27B-mlx-1bit (1.7B)

Models that fit at INT4 (quantized, 16 GB)

This GPU's hardware doesn't support INT4-class serving kernels (AWQ/GPTQ/Marlin), so no INT4 fit list applies.

Live pricing

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