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Fine-tuningFreeOpen Source
COLOSSAL-AI
Distributed training and inference for large AI models
Apache-2.0
ABOUT
Fine-tuning and serving large models across multiple GPUs usually requires teams to assemble custom distributed systems, memory optimizations, and launch tooling before any useful training can begin. Colossal-AI packages parallelism strategies, memory management, and performance tooling so large-model workloads are more practical to run and scale.
INSTALL
pip install colossalaiINTEGRATION GUIDE
1. Fine-tune large language models on multi-GPU Linux clusters
2. Launch distributed training jobs with built-in parallelism strategies
3. Reduce memory pressure during large-model training and inference
4. Benchmark and optimize throughput for large-scale transformer workloads
5. Build custom high-performance pipelines for model training and serving
TAGS
distributed-trainingfine-tuninginferencellmgpuparallelismdeep-learning