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GPT - OpenAI's Generative Pre-trained Transformers:
whisper-base
whisper-tiny
whisper-small
whisper-medium
whisper-large-v2
whisper-large-v3
whisper-large-v3-turbo
openai-gpt
gpt2
gpt2-medium
gpt2-large
gpt2-xl
gpt-oss-20b
gpt-oss-120b
openai-community/gpt2-xl
📊 Model Parameters
Total Parameters
1,638,022,400
Context Length
1,024
Hidden Size
1600
Layers
48
Attention Heads
25
KV Heads
25
💾 Memory Requirements
FP32 (Full)
6.10 GB
FP16 (Half)
3.05 GB
INT8 (Quantized)
1.53 GB
INT4 (Quantized)
781.1 MB
🔑 KV Cache (Inference)
Per Token (FP16)
307.20 KB
Max Context FP32
600.0 MB
Max Context FP16
300.0 MB
Max Context INT8
150.0 MB
⚙️ Model Configuration
Core Architecture
Vocabulary Size
50,257
Number of Layers
48
Attention Heads
25
FFN Intermediate Size
Not set
Context & Position
Max Context Length
1,024
Attention Configuration
Attention Dropout
10.0%
Tied Embeddings
Yes
Activation & Normalization
Activation Function
gelu_new
RMSNorm Epsilon
1e-05
Dropout (Training)
Residual Dropout
10.0%
Embedding Dropout
10.0%
Special Tokens
BOS Token ID
50,256
EOS Token ID
50256
Pad Token ID
Not set
Data Type
Model Dtype
Not set
Layer Types:
Attention
MLP/FFN
Normalization
Embedding
Attention
MLP
Norm
Embedding
Clear
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