Falcon3-7B
Parameters
7B
Context Length
32K
Modality
Text
Architecture
Dense
KV Cache Rate
288 KB/tok
License
TII Falcon-LLM License 2.0
Release Date
17 Dec 2024
Knowledge Cutoff
-
API Pricing (per 1M)
Self-hosted only
Hardware Sizing
Precision
Context
Workload Memory: 8.01 GB
INT4 · 8K context
Base Weights: 3.26 GB
KV Cache: 2.25 GB
Runtime & Graphs: 2.50 GB
Minimum Required Hardware
1x NVIDIA L4 24GB
8.0 / 21.6 GB usable
1x RTX 3060 12GB
8.0 / 10.8 GB usable
Apple M4 24GB
8.0 / 18.0 GB usable
Determine requirements for your specific workload:
Open in VRAM Calculator
Architecture Diagram
Evaluation Benchmarks
No evaluation benchmarks for Falcon3-7B available.
Rankings
Overall Rank
-
Coding Rank
-
About Falcon3-7B
Falcon3-7B is a state-of-the-art instruction-tuned language model from TII optimized for STEM problem-solving, code generation, and research assistance. Pretrained on 14T tokens, it supports multilingual inference across a 32K context window.
Technical Specifications
Attention
Attention Structure
Grouped-Query Attention
Attention Heads
32
Key-Value Heads
8
Attention Head Dimension
256
Position Embedding
ROPE
RoPE Theta
1,000,042
Normalization
RMS Normalization
Activation Function
SwigLU
Dimensions
Hidden Dimension Size
4,096
Number of Layers
36
FFN Intermediate Size (Dense)
23,040
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.