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whisper-base.en: GPU requirements and price to run | GridPup

Models / whisper-base.en

Xenova/whisper-base.en

Speech to text · served with ONNX Runtime · ↓ 129.1K downloads a month · View on Hugging Face

Weights: 210 MB
GPU memory needed: about 1.3 GB
Memory · disk: 8 GB · 30 GB
Licence: apache-2.0

Versions

Smaller versions (8-bit, 4-bit) need less GPU memory and answer a little less precisely.

full precisiononnx/decoder_model.onnx210 MB · 1.3 GB GPU 4-bit (bnb)onnx/decoder_model_bnb4.onnx120 MB · 1.2 GB GPU float16onnx/decoder_model_fp16.onnx100 MB · 1.2 GB GPU 8-bitonnx/decoder_model_int8.onnx160 MB · 1.2 GB GPU full precisiononnx/decoder_model_merged.onnx210 MB · 1.3 GB GPU 4-bit (bnb)onnx/decoder_model_merged_bnb4.onnx120 MB · 1.2 GB GPU float16onnx/decoder_model_merged_fp16.onnx100 MB · 1.2 GB GPU 8-bitonnx/decoder_model_merged_int8.onnx50 MB · 1.1 GB GPU 4-bitonnx/decoder_model_merged_q4.onnx120 MB · 1.2 GB GPU 4-bit, float16onnx/decoder_model_merged_q4f16.onnx70 MB · 1.1 GB GPU 8-bitonnx/decoder_model_merged_quantized.onnx50 MB · 1.1 GB GPU 8-bitonnx/decoder_model_merged_uint8.onnx50 MB · 1.1 GB GPU 4-bitonnx/decoder_model_q4.onnx120 MB · 1.2 GB GPU 4-bit, float16onnx/decoder_model_q4f16.onnx70 MB · 1.1 GB GPU 8-bitonnx/decoder_model_quantized.onnx50 MB · 1.1 GB GPU 8-bitonnx/decoder_model_uint8.onnx160 MB · 1.2 GB GPU full precisiononnx/decoder_with_past_model.onnx200 MB · 1.3 GB GPU 4-bit (bnb)onnx/decoder_with_past_model_bnb4.onnx120 MB · 1.2 GB GPU float16onnx/decoder_with_past_model_fp16.onnx100 MB · 1.1 GB GPU 8-bitonnx/decoder_with_past_model_int8.onnx160 MB · 1.2 GB GPU 4-bitonnx/decoder_with_past_model_q4.onnx120 MB · 1.2 GB GPU 4-bit, float16onnx/decoder_with_past_model_q4f16.onnx70 MB · 1.1 GB GPU 8-bitonnx/decoder_with_past_model_quantized.onnx50 MB · 1.1 GB GPU 8-bitonnx/decoder_with_past_model_uint8.onnx160 MB · 1.2 GB GPU full precisiononnx/encoder_model.onnx80 MB · 1.1 GB GPU 4-bit (bnb)onnx/encoder_model_bnb4.onnx20 MB · 1 GB GPU float16onnx/encoder_model_fp16.onnx40 MB · 1.1 GB GPU 4-bitonnx/encoder_model_q4.onnx20 MB · 1 GB GPU 4-bit, float16onnx/encoder_model_q4f16.onnx10 MB · 1 GB GPU 8-bitonnx/encoder_model_quantized.onnx20 MB · 1 GB GPU 8-bitonnx/encoder_model_uint8.onnx20 MB · 1 GB GPU

Hardware and deploy

Deploying ONNX models from the catalog is coming soon. Today, download the files from Hugging Face and upload them in Inference.

Prices are per hour for the whole machine and its disk, right now. Speed is Vast's DLPerf score of the machine, relative to the cheapest. Best value: the most speed per dollar. Only machines with a Vast reliability above 95% that download at 400 Mbit/s or more are offered: the machine fetches the model itself.