Kokoro TTS 82M
Hexagrad · dense · 0.082B parameters · 2,048 context
Parameters
0.082B
Context Window
2K tokens
Architecture
Dense
Best GPU
B200 SXM
Intelligence Brief
Kokoro TTS 82M is a 0.082B parameter DENSE model from Hexagrad, featuring Multi-Head Attention (MHA) with 6 layers and 512 hidden dimensions. With a 2,048 token context window, it supports general text generation. For self-hosted inference, B200 SXM delivers optimal throughput at $4261/month.
Architecture Details
Memory Requirements
BF16 Weights
0.2 GB
FP8 Weights
0.1 GB
INT4 Weights
0.0 GB
GPU Compatibility Matrix
Kokoro TTS 82M is compatible with 100% of GPU configurations across 41 GPUs at 3 precision levels.
GPU Recommendations
FP8 · 1 GPU · tensorrt-llm
83/100
score
Throughput
3.5K tok/s
Latency (ITL)
0.3ms
Est. TTFT
0ms
Cost/Month
$4261
Cost/M Tokens
$0.46
FP8 · 1 GPU · tensorrt-llm
83/100
score
Throughput
3.5K tok/s
Latency (ITL)
0.3ms
Est. TTFT
0ms
Cost/Month
$4271
Cost/M Tokens
$0.46
FP8 · 1 GPU · tensorrt-llm
83/100
score
Throughput
3.5K tok/s
Latency (ITL)
0.3ms
Est. TTFT
0ms
Cost/Month
$6169
Cost/M Tokens
$0.67
Deployment Options
API Deployment
No API pricing available
Single GPU
B200 SXM
$4261/mo
Min VRAM: 0 GB
Multi-GPU
B200 SXM
3.5K tok/s
Best available config
API Pricing Comparison
No API pricing data available for this model.
Performance Estimates
Throughput by GPU
VRAM Breakdown (B200 SXM, FP8)
Precision Impact
bf16
0.2 GB
weights/GPU
fp8
0.1 GB
weights/GPU
~3.5K tok/s
int4
0.0 GB
weights/GPU
Capabilities
Features
Supported Frameworks
Supported Precisions
Where to Deploy Kokoro TTS 82M
Self-Hosted Infrastructure
Similar Models
Whisper Base
0.074B params · dense
Quality: 50
BGE Base EN v1.5
0.11B params · dense
Quality: 50
BGE Small EN v1.5
0.033B params · dense
Quality: 50
SmolLM 135M
0.135B params · dense
Quality: 50
Nomic Embed Text v1.5
0.137B params · dense
Quality: 50
from $0.01/M
Frequently Asked Questions
How much VRAM does Kokoro TTS 82M need for inference?
Kokoro TTS 82M requires approximately 0.2 GB of VRAM at BF16 precision, 0.1 GB at FP8, or 0.0 GB at INT4 quantization. Additional VRAM is needed for KV-cache (6144 bytes per token) and activations (~0.01 GB).
What is the best GPU for Kokoro TTS 82M?
The top recommended GPU for Kokoro TTS 82M is the B200 SXM using FP8 precision. It achieves approximately 3.5K tokens/sec at an estimated cost of $4261/month ($0.46/M tokens). Score: 83/100.
How much does Kokoro TTS 82M inference cost?
Kokoro TTS 82M inference costs vary by provider and GPU setup. Use our calculator for detailed cost estimates across all providers.