Falcon 3 10B
TII UAE · dense · 10.3B parameters · 32,768 context
Falcon 3 10B is a 10.3B parameter DENSE model from TII UAE, featuring a 32,768 token context window. With 40 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 A100 40GB SXM at BF16 precision, achieving approximately 407.6 tokens/second at $0.75/million tokens.
Architecture Details
Memory Requirements
BF16 Weights
20.6 GB
FP8 Weights
10.3 GB
INT4 Weights
5.2 GB
Fits on (single-node)
GPU Recommendations
BF16 · 1 GPU · vllm
95/100
score
Throughput
407.6 tok/s
Cost/Month
$807
Cost/M Tokens
$0.75
BF16 · 1 GPU · vllm
95/100
score
Throughput
469.7 tok/s
Cost/Month
$845
Cost/M Tokens
$0.68
BF16 · 1 GPU · vllm
95/100
score
Throughput
407.6 tok/s
Cost/Month
$655
Cost/M Tokens
$0.61
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 10B need for inference?
Falcon 3 10B requires approximately 20.6 GB of VRAM at BF16 precision, 10.3 GB at FP8, or 5.2 GB at INT4 quantization. Additional VRAM is needed for KV-cache (81920 bytes per token) and activations (~0.70 GB).
What is the best GPU for Falcon 3 10B?
The top recommended GPU for Falcon 3 10B is the A100 40GB SXM using BF16 precision. It achieves approximately 407.6 tokens/sec at an estimated cost of $807/month ($0.75/M tokens). Score: 95/100.
How much does Falcon 3 10B inference cost?
Falcon 3 10B inference costs vary by provider and GPU setup. Use our calculator for detailed cost estimates across all providers.