Nekomata 14B
Rinna · dense · 14B parameters · 4,096 context
Parameters
14B
Context Window
4K tokens
Architecture
Dense
Best GPU
A100 40GB SXM
Intelligence Brief
Nekomata 14B is a 14B parameter DENSE model from Rinna, featuring Grouped Query Attention (GQA) with 40 layers and 5,120 hidden dimensions. With a 4,096 token context window, it supports multilingual. For self-hosted inference, A100 40GB SXM delivers optimal throughput at $807/month.
Architecture Details
Memory Requirements
BF16 Weights
28.0 GB
FP8 Weights
14.0 GB
INT4 Weights
7.0 GB
GPU Compatibility Matrix
Nekomata 14B is compatible with 82% of GPU configurations across 41 GPUs at 3 precision levels.
GPU Recommendations
BF16 · 1 GPU · vllm
95/100
score
Throughput
299.9 tok/s
Latency (ITL)
3.3ms
Est. TTFT
1ms
Cost/Month
$807
Cost/M Tokens
$1.02
BF16 · 1 GPU · vllm
95/100
score
Throughput
148.1 tok/s
Latency (ITL)
6.8ms
Est. TTFT
1ms
Cost/Month
$465
Cost/M Tokens
$1.19
BF16 · 1 GPU · vllm
95/100
score
Throughput
134.2 tok/s
Latency (ITL)
7.5ms
Est. TTFT
1ms
Cost/Month
$399
Cost/M Tokens
$1.13
Deployment Options
API Deployment
No API pricing available
Single GPU
A100 40GB SXM
$807/mo
Min VRAM: 14 GB
Multi-GPU
RTX 3090 x2
298.7 tok/s
TP· $361/mo
API Pricing Comparison
No API pricing data available for this model.
Performance Estimates
Throughput by GPU
VRAM Breakdown (A100 40GB SXM, BF16)
Precision Impact
bf16
28.0 GB
weights/GPU
~299.9 tok/s
fp8
14.0 GB
weights/GPU
int4
7.0 GB
weights/GPU
Capabilities
Features
Supported Frameworks
Supported Precisions
Where to Deploy Nekomata 14B
Similar Models
Phi 3 Medium 14B
14B params · dense
Quality: 76
RWKV-6 14B
14.1B params · hybrid
Quality: 50
from $0.20/M
Qwen 1.5 MoE A2.7B
14.3B params · moe
Quality: 50
Phi-4
14.7B params · dense
Quality: 73
from $0.14/M
Qwen 2.5 Coder 14B
14.7B params · dense
Quality: 50
from $0.30/M
Frequently Asked Questions
How much VRAM does Nekomata 14B need for inference?
Nekomata 14B requires approximately 28.0 GB of VRAM at BF16 precision, 14.0 GB at FP8, or 7.0 GB at INT4 quantization. Additional VRAM is needed for KV-cache (163840 bytes per token) and activations (~1.00 GB).
What is the best GPU for Nekomata 14B?
The top recommended GPU for Nekomata 14B is the A100 40GB SXM using BF16 precision. It achieves approximately 299.9 tokens/sec at an estimated cost of $807/month ($1.02/M tokens). Score: 95/100.
How much does Nekomata 14B inference cost?
Nekomata 14B inference costs vary by provider and GPU setup. Use our calculator for detailed cost estimates across all providers.