Updated minutes ago
StableLM 2 12B
Stability AI · dense · 12.1B parameters · 4,096 context
Quality50.0
Architecture Details
TypeDENSE
Total Parameters12.1B
Active Parameters12.1B
Layers40
Hidden Dimension5,120
Attention Heads32
KV Heads8
Head Dimension160
Vocab Size100,352
Memory Requirements
BF16 Weights
24.2 GB
FP8 Weights
12.1 GB
INT4 Weights
6.0 GB
KV-Cache per Token204800 bytes
Activation Estimate1.00 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
A100 40GB SXMoptimal
BF16 · 1 GPU · vllm
95/100
score
Throughput
312.3 tok/s
Cost/Month
$807
Cost/M Tokens
$0.98
RTX A6000optimal
BF16 · 1 GPU · vllm
95/100
score
Throughput
154.2 tok/s
Cost/Month
$465
Cost/M Tokens
$1.15
A40optimal
BF16 · 1 GPU · vllm
95/100
score
Throughput
139.8 tok/s
Cost/Month
$399
Cost/M Tokens
$1.09
API Pricing Comparison
| Provider | Input $/M | Output $/M | Badges |
|---|---|---|---|
| stabilityai | $0.25 | $0.25 | Cheapest |
Capabilities
Features
✗ Tool Use✗ Vision✓ Code✗ Math✗ Reasoning✓ Multilingual✗ Structured Output
Supported Frameworks
vllmsglangtgiollama
Supported Precisions
BF16 (default)FP8INT4