Best Axolotl Alternatives in 2026

Unsloth is an open-source fine-tuning library by Daniel and Michael Han that delivers 2x faster LLM training and up to 70% less VRAM through custom Triton CUDA kernels. Supports 500+ models including Llama, Qwen, and DeepSeek. Free to use, with a paid Pro tier for multi-GPU training.

DeepSpeed is Microsoft's open-source deep learning optimization library for training and running large language models across multiple GPUs. It powers BLOOM 176B, Megatron-Turing 530B, and countless fine-tuning pipelines via its ZeRO memory optimizer.

BentoML is an open-source Python framework for packaging and deploying machine learning models as production APIs. It supports any ML framework, includes OpenLLM for self-hosted LLM serving, and offers BentoCloud for managed inference with autoscaling and BYOC.

Modal is a serverless GPU platform that lets Python developers run AI workloads on cloud GPUs without touching infrastructure. Write a function, add a decorator, and Modal handles containers, scaling, and billing down to the second.

LiteLLM is an open-source AI gateway by BerriAI (YC W23) that translates 100+ LLM provider APIs into a single OpenAI-compatible endpoint. Self-host the proxy server to route across OpenAI, Anthropic, Bedrock, and more with spend tracking, rate limiting, and fallback routing built in.

MLX is Apple ML Research's open-source array framework for running and fine-tuning machine learning models on Apple Silicon. Free, MIT-licensed, and designed to extract maximum performance from M1 through M5 chips using unified memory.

DSPy is a Stanford NLP framework that treats prompt engineering as a compiler problem: you write typed signatures and modules, define a metric, and an optimizer searches for the best prompts automatically. Free, Apache 2.0, 5M+ monthly PyPI downloads.

smolagents is Hugging Face's open-source Python library for building AI agents that write code as actions rather than JSON tool calls. Apache 2.0, ~1,000 lines of core code, supports 100-plus LLMs including local models via Ollama and Transformers.

LlamaIndex is an open-source data framework for building RAG applications over private data, developed by LlamaIndex, Inc. It includes 300+ data connectors, built-in hierarchical chunking, and LlamaParse for enterprise-grade document parsing. Free OSS core; LlamaCloud starts at $50/mo.

Lambda Labs provides GPU cloud compute for AI researchers and machine learning engineers: on-demand H100 and B200 instances with PyTorch pre-installed, and 1-Click Clusters with InfiniBand networking for large-scale distributed training.