Falcon-40B
Parameters
40B
Context Length
2K
Modality
Text
Architecture
Dense
License
Apache 2.0
Release Date
5 Jun 2023
Knowledge Cutoff
Feb 2023
API Pricing (per 1M)
Self-hosted only
System Requirements
VRAM requirements for different quantization methods and context sizes
1,024 tokens
Consumer
4x RTX 4090
24GB VRAM
Datacenter
2x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
2,048 tokens
Consumer
4x RTX 4090
24GB VRAM
Datacenter
2x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
Architecture Diagram
Evaluation Benchmarks
No evaluation benchmarks for Falcon-40B available.
Rankings
Overall Rank
-
Coding Rank
-
About Falcon-40B
Falcon-40B is a foundational 40B parameter causal decoder model developed by TII and trained on 1T tokens from the RefinedWeb dataset. Featuring Multi-Query Attention and FlashAttention, it serves as a robust base for enterprise NLP applications.
Technical Specifications
Attention
Attention Structure
Multi-Query Attention
Attention Heads
64
Key-Value Heads
1
Attention Head Dimension
64
Position Embedding
ROPE
RoPE Theta
-
Sliding Window Attention
-
Sliding Window Size
-
Sliding Window Ratio
-
Linear Attention
-
Linear Attention Ratio
-
Normalization
Layer Normalization
Activation Function
-
Dimensions
Hidden Dimension Size
8,192
Number of Layers
60
FFN Intermediate Size (Dense)
-
Multi-Token Prediction Heads
-
Tokenizer
Vocabulary Size
65,024
About Falcon
The TII Falcon model family comprises causal decoder-only language models (7B, 40B). Their architecture, adapted from GPT-3, integrates rotary positional embeddings, Multi-Query Attention for inference efficiency, and FlashAttention for accelerated operations. Models are trained on the RefinedWeb dataset.