Updated minutes ago
SmolLM2 1.7B
Hugging Face · dense · 1.7B parameters · 8,192 context
Quality50.0
Architecture Details
TypeDENSE
Total Parameters1.7B
Active Parameters1.7B
Layers24
Hidden Dimension2,048
Attention Heads32
KV Heads32
Head Dimension64
Vocab Size49,152
Memory Requirements
BF16 Weights
3.4 GB
FP8 Weights
1.7 GB
INT4 Weights
0.8 GB
KV-Cache per Token196608 bytes
Activation Estimate0.30 GB
Fits on (single-node)
B200 SXM BF16B100 SXM BF16GB200 NVL72 (per GPU) BF16GB300 NVL72 (per GPU) BF16H200 SXM BF16H100 SXM BF16H100 PCIe BF16H100 NVL BF16
GPU Recommendations
A4000optimal
BF16 · 1 GPU · vllm
90/100
score
Throughput
675.9 tok/s
Cost/Month
$161
Cost/M Tokens
$0.09
RTX 4080optimal
BF16 · 1 GPU · vllm
90/100
score
Throughput
1.1K tok/s
Cost/Month
$304
Cost/M Tokens
$0.11
RTX 4070 Tioptimal
BF16 · 1 GPU · vllm
90/100
score
Throughput
760.4 tok/s
Cost/Month
$237
Cost/M Tokens
$0.12
API Pricing Comparison
No API pricing data available for this model.
Capabilities
Features
✗ Tool Use✗ Vision✓ Code✗ Math✗ Reasoning✗ Multilingual✗ Structured Output
Supported Frameworks
vllmsglangtgiollama
Supported Precisions
BF16 (default)FP8INT4