Updated minutes ago
Yi Coder 9B
01.AI · dense · 8.8B parameters · 131,072 context
Quality50.0
Architecture Details
TypeDENSE
Total Parameters8.8B
Active Parameters8.8B
Layers48
Hidden Dimension3,584
Attention Heads28
KV Heads4
Head Dimension128
Vocab Size64,000
Memory Requirements
BF16 Weights
17.6 GB
FP8 Weights
8.8 GB
INT4 Weights
4.4 GB
KV-Cache per Token98304 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
A30optimal
BF16 · 1 GPU · vllm
100/100
score
Throughput
286.2 tok/s
Cost/Month
$332
Cost/M Tokens
$0.44
RTX 4090optimal
BF16 · 1 GPU · vllm
100/100
score
Throughput
309.3 tok/s
Cost/Month
$370
Cost/M Tokens
$0.46
RTX 3090optimal
BF16 · 1 GPU · vllm
100/100
score
Throughput
287.2 tok/s
Cost/Month
$180
Cost/M Tokens
$0.24
API Pricing Comparison
No API pricing data available for this model.
Capabilities
Features
✗ Tool Use✗ Vision✓ Code✓ Math✗ Reasoning✓ Multilingual✓ Structured Output
Supported Frameworks
vllmsglangtgitensorrt-llmollama
Supported Precisions
BF16 (default)FP8INT4