Falcon3-10B
Parameters
10B
Context Length
33K
Modality
Text
Architecture
Dense
License
TII Falcon-LLM License 2.0
Release Date
17 Dec 2024
Knowledge Cutoff
Nov 2024
API Pricing (per 1M)
Self-hosted only
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
32,768 tokens
Consumer
2x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
Architecture Diagram
Evaluation Benchmarks
No evaluation benchmarks for Falcon3-10B available.
Rankings
Overall Rank
-
Coding Rank
-
About Falcon3-10B
Falcon3-10B is a 10B parameter causal language model from TII engineered for advanced scientific reasoning and conversational applications. It features Grouped-Query Attention and a 32K context window for detailed long-form text analysis.
Technical Specifications
Attention
Attention Structure
Grouped-Query Attention
Attention Heads
40
Key-Value Heads
10
Attention Head Dimension
256
Position Embedding
ROPE
RoPE Theta
1,000,042
Sliding Window Attention
No
Sliding Window Size
-
Sliding Window Ratio
-
Linear Attention
-
Linear Attention Ratio
-
Normalization
RMS Normalization
Activation Function
SwigLU
Dimensions
Hidden Dimension Size
5,120
Number of Layers
40
FFN Intermediate Size (Dense)
23,040
Multi-Token Prediction Heads
-
Tokenizer
Vocabulary Size
131,072
About Falcon 3
The TII Falcon 3 model family comprises open-source, decoder-only language models (1B-10B parameters) designed for efficiency. Key innovations include an extended 32K token context window, Grouped-Query Attention (GQA), and specialized versions for scientific and code-oriented applications. Some variants integrate Mamba-based architectures.