Updated minutes ago
InternLM 20B
SenseTime · dense · 20B parameters · 16,384 context
Quality50.0
Architecture Details
TypeDENSE
Total Parameters20B
Active Parameters20B
Layers60
Hidden Dimension5,120
Attention Heads40
KV Heads40
Head Dimension128
Vocab Size103,168
Memory Requirements
BF16 Weights
40.0 GB
FP8 Weights
20.0 GB
INT4 Weights
10.0 GB
KV-Cache per Token614400 bytes
Activation Estimate1.50 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
H100 SXMoptimal
FP8 · 1 GPU · tensorrt-llm
100/100
score
Throughput
1.1K tok/s
Cost/Month
$1794
Cost/M Tokens
$0.65
H20optimal
FP8 · 1 GPU · tensorrt-llm
100/100
score
Throughput
1.1K tok/s
Cost/Month
$940
Cost/M Tokens
$0.34
H100 PCIeoptimal
FP8 · 1 GPU · tensorrt-llm
95/100
score
Throughput
836.6 tok/s
Cost/Month
$1794
Cost/M Tokens
$0.82
API Pricing Comparison
No API pricing data available for this model.
Capabilities
Features
✗ Tool Use✗ Vision✓ Code✓ Math✗ Reasoning✓ Multilingual✗ Structured Output
Supported Frameworks
vllmtgi
Supported Precisions
BF16 (default)FP8INT4