Machine Learning Calculators
LLM Training & Scaling
6How do I calculate llm training cost?
LLM Training Cost
Estimate total cost using C=6PD formula, GPU type, cloud pricing. Based on Chinchilla scaling laws.
How do I calculate gpu vram?
GPU VRAM
Calculate memory requirements for training & inference across FP32/FP16/INT8/INT4 precisions.
How do I calculate chinchilla scaling?
Chinchilla Scaling
Find compute-optimal model size and training tokens given a compute budget. Chinchilla & beyond.
How do I calculate lora / qlora fine-tuning?
LoRA / QLoRA Fine-Tuning
Calculate trainable parameters, memory savings, and adapter sizes for LoRA/QLoRA fine-tuning.
How do I calculate token count & api cost?
Token Count & API Cost
Compare token costs across OpenAI, Anthropic, Google, and Mistral. Input vs output pricing.
How do I calculate neural network flops?
Neural Network FLOPs
Calculate floating-point operations per layer type: Linear, Conv2D, Attention, LayerNorm.
Model Efficiency & Deployment
7How do I calculate model quantization?
Model Quantization
Compare GPTQ/AWQ/GGUF quantization: memory savings, speed gains, accuracy tradeoffs.
How do I calculate kv cache size?
KV Cache Size
Calculate KV cache memory for MHA/MQA/GQA attention types. Based on PagedAttention research.
How do I calculate context window cost?
Context Window Cost
Analyze quadratic attention scaling costs. Compare standard vs Flash Attention memory.
How do I calculate inference throughput?
Inference Throughput
Estimate tokens/sec, TTFT, and inter-token latency for LLM serving on various GPUs.
How do I calculate model distillation?
Model Distillation
Plan teacher-to-student compression: size ratios, accuracy retention, training tokens needed.
How do I calculate gradient accumulation?
Gradient Accumulation
Calculate accumulation steps to achieve target effective batch size on limited GPU memory.
How do I calculate activation memory?
Activation Memory
Estimate activation memory with/without gradient checkpointing. Based on NVIDIA research.
Model Evaluation & Hyperparameters
3How do I calculate confusion matrix?
Confusion Matrix
Compute Accuracy, Precision, Recall, F1, MCC, ROC-AUC from TP/FP/TN/FN values.
How do I calculate batch size & learning rate?
Batch Size & Learning Rate
Linear & sqrt LR scaling rules, warmup estimation, cosine/linear schedule visualization.
How do I calculate neural network parameter counter?
Neural Network Parameter Counter
Count parameters for Linear, Conv2D, Embedding, LayerNorm, and Attention layers.
Data & RAG
4How do I calculate rag?
RAG
Calculate chunk sizes, vector store memory, token budgets for retrieval-augmented generation.
How do I calculate training data size?
Training Data Size
How much data do you need? Chinchilla ratios, fine-tuning guidelines, LIMA insights.
How do I calculate embedding dimension?
Embedding Dimension
Optimal embedding dimensions for LLMs, RAG, classification. Memory vs expressiveness.
How do I calculate cross-validation sample?
Cross-Validation Sample
Minimum samples for reliable k-fold CV with stratification and class imbalance.
Architecture & Design
2Responsible AI
3How do I calculate ml carbon footprint?
ML Carbon Footprint
Estimate CO2 emissions from GPU training. Energy consumption, carbon equivalents.
How do I calculate differential privacy?
Differential Privacy
Calculate epsilon via RDP accounting. Apple, Google, and Meta privacy budget standards.
How do I calculate ai fairness & bias?
AI Fairness & Bias
Demographic parity, equalized odds, disparate impact. IBM AIF360 & Microsoft Fairlearn metrics.
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LLM Training & Scaling
Model Efficiency & Deployment
Model Evaluation & Hyperparameters
Data & RAG
Architecture & Design
Responsible AI
Did You Know?
DeepMind's Chinchilla 70B outperformed the 280B-parameter Gopher by simply training on 4x more data. The optimal ratio is ~20 tokens per parameter.
QLoRA can fine-tune a 65B parameter model on a single 48GB GPU while retaining 99.3% of ChatGPT's quality, reducing memory by over 95%.
Training GPT-3 consumed ~1,287 MWh of energy and emitted ~552 tons of CO2 โ equivalent to 5 cars over their entire lifetimes.
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