NeuralForge

CPU-Powered LLM Training

Train language models efficiently using your CPU resources with our optimized training pipeline

Training Configuration

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System Resources

CPU Utilization 0%
Memory Usage 0 GB / 16 GB
Disk Cache 0 GB / 50 GB

Estimated Training Time

Calculating...

Training Log

> Welcome to NeuralForge LLM Trainer
> System ready for training configuration
> CPU: 8 cores detected
> RAM: 16GB available

Training Metrics

Loss
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Perplexity
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Training metrics will appear here

Available Model Architectures

GPT-2 Small

Recommended

117M parameters, good for most tasks

CPU RAM Needed: 4GB
Training Time: ~12 hours

DistilBERT

66M parameters, distilled BERT model

CPU RAM Needed: 3GB
Training Time: ~8 hours

TinyLLAMA

28M parameters, lightweight option

CPU RAM Needed: 2GB
Training Time: ~5 hours

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