FuturaNexus — GPU Cloud Platform

Job Name

Training Method

Base Model

HuggingFace Hub

Or enter any HuggingFace model ID directly

Dataset

Drop files or click to upload

JSONL, JSON, CSV, or Parquet · Max 10 GB

Or use a HuggingFace dataset

Supported formats

JSONL (Chat)Each line: {"messages": [{"role": "user", ...}, {"role": "assistant", ...}]}Recommended

JSONL (Instruct)Each line: {"instruction": "...", "output": "..."}

JSONL (ShareGPT)Each line: {"conversations": [{"from": "human", ...}, {"from": "gpt", ...}]}

CSVColumns: instruction, input (optional), output

ParquetHuggingFace Datasets format — auto-detected columns

Hyperparameters

LoRA Rank

Learning Rate

Epochs

Batch Size

Max Seq Length

Completions-only training (mask prompt tokens)Early stopping (patience: 3 eval steps)Gradient checkpointing (reduce VRAM, slower)Use 4-bit quantization (QLoRA — fits larger models on smaller GPUs)Push to HuggingFace Hub on completion

Infinite Attention / Context Extension

Multi-Stage Pipeline

Scaled Training

Compute Target

Auto-selected GPU

A100 80GB

Est. time & cost

~2.5h · ~$5.00

Estimate based on platform rates and typical training duration. Actual cost depends on dataset size, hyperparameters, and live provider pricing. Hard budget cap applies.

New Training Job

Job Name

Training Method

Base Model

Dataset

Hyperparameters

Infinite Attention / Context Extension

Multi-Stage Pipeline

Scaled Training

Compute Target

New Training Job

Job Name

Training Method

Base Model

Dataset

Hyperparameters

Infinite Attention / Context Extension

Multi-Stage Pipeline

Scaled Training

Compute Target