YC Spring 2026/10-llm-training-toolsDEMO MODE

LLM Training Tools

Fine-tuning infrastructure

Datasets

47

+8 this week

Training Runs

124

12 active

Model Exports

89

HuggingFace + S3

GPU Hours

2,847

$4,270 spent

Datasets

customer-support-v3
ready
2.4M records12.8 GB
Quality:94%
code-reviews-2024
ready
890K records4.2 GB
Quality:97%
legal-documents
processing
156K records8.9 GB
Quality:89%
medical-notes-anon
ready
1.2M records6.4 GB
Quality:92%

Training Runs

12 active
RUN-2847Llama-3-8B

Dataset: customer-support-v3

running

2h 34m

67%
RUN-2851Mistral-7B

Dataset: code-reviews-2024

completed
Training complete - Model ready
RUN-2855GPT-4-turbo

Dataset: legal-documents

queued

Est. 8h

Training Metrics

Loss
0.0847
Accuracy
94.2%
Perplexity
12.4
Token/s
1,247

Compute Usage

GPU Utilization87%
VRAM Usage72GB / 80GB

Export Ready

HuggingFace47 models
S3 Storage124 GB
API Endpoints12 active