Llama 3.2 1B
Parameters
1B
Context Length
128K
Modality
Text
Architecture
Dense
License
Llama 3.2 Community License
Release Date
25 Sept 2024
Knowledge Cutoff
Dec 2023
API Pricing (per 1M)
Input: $0.03 · Output: $0.20
System Requirements
VRAM requirements for different quantization methods and context sizes
1,024 tokens
Consumer
1x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
128,000 tokens
Consumer
1x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
Architecture Diagram
Evaluation Benchmarks
Rank
#211
| Benchmark | Score | Rank |
|---|---|---|
General Text | 1111 | 170 |
Intelligence Index | 0.05 | 255 |
Rankings
Overall Rank
#211
Coding Rank
-
About Llama 3.2 1B
Llama 3.2 1B is an ultra-compact edge model by Meta optimized for on-device summarization, rewriting, and multilingual retrieval. Distilled from larger Llama 3.1 models, it supports local inference across a 128K token context window.
Technical Specifications
Attention
Attention Structure
Grouped-Query Attention
Attention Heads
16
Key-Value Heads
4
Attention Head Dimension
64
Position Embedding
ROPE
RoPE Theta
500,000
Sliding Window Attention
No
Sliding Window Size
-
Sliding Window Ratio
-
Linear Attention
-
Linear Attention Ratio
-
Normalization
RMS Normalization
Activation Function
SwigLU
Dimensions
Auxiliary Parameters
-
Hidden Dimension Size
1,024
Number of Layers
16
FFN Intermediate Size (Dense)
8,192
Multi-Token Prediction Heads
-
Tokenizer
Vocabulary Size
128,256
About Llama 3.2
Meta's Llama 3.2 family introduces vision models, integrating image encoders with language models for multimodal text and image processing. It also includes lightweight variants optimized for efficient on-device deployment, supporting an extended 128K token context length.