Updated minutes ago
OpenELM 3B
Apple · dense · 3B parameters · 2,048 context
Quality50.0
Architecture Details
TypeDENSE
Total Parameters3B
Active Parameters3B
Layers36
Hidden Dimension3,072
Attention Heads24
KV Heads4
Head Dimension128
Vocab Size32,000
Memory Requirements
BF16 Weights
6.0 GB
FP8 Weights
3.0 GB
INT4 Weights
1.5 GB
KV-Cache per Token73728 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
RTX 4070 Tioptimal
BF16 · 1 GPU · vllm
100/100
score
Throughput
453.6 tok/s
Cost/Month
$237
Cost/M Tokens
$0.20
RTX 3080optimal
BF16 · 1 GPU · vllm
100/100
score
Throughput
684.0 tok/s
Cost/Month
$133
Cost/M Tokens
$0.07
RTX 4070 Superoptimal
BF16 · 1 GPU · vllm
100/100
score
Throughput
453.6 tok/s
Cost/Month
$209
Cost/M Tokens
$0.18
API Pricing Comparison
No API pricing data available for this model.
Capabilities
Features
✗ Tool Use✗ Vision✗ Code✗ Math✗ Reasoning✗ Multilingual✗ Structured Output
Supported Frameworks
vllmsglangollama
Supported Precisions
BF16 (default)FP8INT4