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openai/whisper-large-v2

📊 Model Parameters

Total Parameters 972,907,520
Context Length 2,048
Hidden Size 1280
Layers 32
Attention Heads 20
KV Heads 20

💾 Memory Requirements

FP32 (Full) 3.62 GB
FP16 (Half) 1.81 GB
INT8 (Quantized) 927.8 MB
INT4 (Quantized) 463.9 MB

🔑 KV Cache (Inference)

Per Token (FP16) 163.84 KB
Max Context FP32 640.0 MB
Max Context FP16 320.0 MB
Max Context INT8 160.0 MB

⚙️ Model Configuration

Core Architecture

Vocabulary Size51,865
Number of Layers32

Attention Configuration

Attention Dropout0%
Tied EmbeddingsYes

Activation & Normalization

Activation Functiongelu

Special Tokens

BOS Token ID50,257
Pad Token ID50,257
EOS Token ID50257

Data Type

Model Dtypefloat32
Layer Types:
Attention
MLP/FFN
Normalization
Embedding