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Llama - Meta's Large Language Model Meta AI:
llama-65b
llama-30b
llama-13b
llama-7b
Llama-2-7b-hf
Llama-2-13b-hf
Llama-2-70b-hf
Meta-Llama-3-8B
Meta-Llama-3-70B
Llama-3.1-405B
meta-llama/Llama-2-70b-hf
📊 Model Parameters
Total Parameters
68,976,648,192
Context Length
4,096
Hidden Size
8192
Layers
80
Attention Heads
64
KV Heads
8
💾 Memory Requirements
FP32 (Full)
256.96 GB
FP16 (Half)
128.48 GB
INT8 (Quantized)
64.24 GB
INT4 (Quantized)
32.12 GB
🔑 KV Cache (Inference)
Per Token (FP16)
327.68 KB
Max Context FP32
2.50 GB
Max Context FP16
1.25 GB
Max Context INT8
640.0 MB
⚙️ Model Configuration
Core Architecture
Vocabulary Size
32,000
Hidden Size
8,192
FFN Intermediate Size
28,672
Number of Layers
80
Attention Heads
64
KV Heads
8
Head Dimension
128
Context & Position
Max Context Length
4,096
RoPE Base Frequency
10000.0
RoPE Scaling
Not set
Attention Configuration
Attention Bias
No
Attention Dropout
0%
MLP Bias
No
Tied Embeddings
No
Activation & Normalization
Activation Function
silu
RMSNorm Epsilon
1e-05
Special Tokens
BOS Token ID
1
Pad Token ID
Not set
EOS Token ID
2
Data Type
Model Dtype
float16
Layer Types:
Attention
MLP/FFN
Normalization
Embedding
Attention
MLP
Norm
Embedding
Clear
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