Updated minutes ago
ChatGLM3 6B
Tsinghua University · dense · 6B parameters · 131,072 context
Quality50.0
Architecture Details
TypeDENSE
Total Parameters6B
Active Parameters6B
Layers28
Hidden Dimension4,096
Attention Heads32
KV Heads2
Head Dimension128
Vocab Size65,024
Memory Requirements
BF16 Weights
12.0 GB
FP8 Weights
6.0 GB
INT4 Weights
3.0 GB
KV-Cache per Token28672 bytes
Activation Estimate0.80 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
A10Goptimal
BF16 · 1 GPU · vllm
100/100
score
Throughput
270.0 tok/s
Cost/Month
$285
Cost/M Tokens
$0.40
A30optimal
BF16 · 1 GPU · vllm
100/100
score
Throughput
419.8 tok/s
Cost/Month
$332
Cost/M Tokens
$0.30
RTX 4090optimal
BF16 · 1 GPU · vllm
100/100
score
Throughput
453.6 tok/s
Cost/Month
$370
Cost/M Tokens
$0.31
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