Falcon 3 7B
TII UAE · dense · 7.5B parameters · 32,768 context
Falcon 3 7B is a 7.5B parameter DENSE model from TII UAE, featuring a 32,768 token context window. With 32 transformer layers and a hidden dimension of 4,096, it delivers efficient Grouped Query Attention (GQA) for optimized inference throughput. Based on InferenceBench analysis, the optimal deployment configuration is the A10G at BF16 precision, achieving approximately 216.0 tokens/second at $0.50/million tokens.
Architecture Details
Memory Requirements
BF16 Weights
15.0 GB
FP8 Weights
7.5 GB
INT4 Weights
3.8 GB
Fits on (single-node)
GPU Recommendations
BF16 · 1 GPU · vllm
100/100
score
Throughput
216.0 tok/s
Cost/Month
$285
Cost/M Tokens
$0.50
BF16 · 1 GPU · vllm
100/100
score
Throughput
335.9 tok/s
Cost/Month
$332
Cost/M Tokens
$0.38
BF16 · 1 GPU · vllm
100/100
score
Throughput
362.9 tok/s
Cost/Month
$370
Cost/M Tokens
$0.39
API Pricing Comparison
No API pricing data available for this model.
Capabilities
Features
Supported Frameworks
Supported Precisions
Similar Models
Frequently Asked Questions
How much VRAM does Falcon 3 7B need for inference?
Falcon 3 7B requires approximately 15.0 GB of VRAM at BF16 precision, 7.5 GB at FP8, or 3.8 GB at INT4 quantization. Additional VRAM is needed for KV-cache (65536 bytes per token) and activations (~0.50 GB).
What is the best GPU for Falcon 3 7B?
The top recommended GPU for Falcon 3 7B is the A10G using BF16 precision. It achieves approximately 216.0 tokens/sec at an estimated cost of $285/month ($0.50/M tokens). Score: 100/100.
How much does Falcon 3 7B inference cost?
Falcon 3 7B inference costs vary by provider and GPU setup. Use our calculator for detailed cost estimates across all providers.