Technology · LLMs → Fine-tuning · Open Source · wiki:stub
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Axolotl is a popular open toolkit for fine-tuning LLMs with YAML configs covering LoRA, QLoRA, full FT, and many model families. Operationalizes domain specialization. Relevant when prompting alone cannot meet estimating/ops language needs. Go ahead and axolotl questions - 2026/08: - New model support has been added in Axolotl for Ling 3.0, Muse Glimmer, North Micro Vision Instruct and Shieldstral. - 2026/07: - NVFP4 (4-bit) MoE LoRA training is now supported via ScatterMoE (W4A16) and SonicMoE (W4A4), including adapter merge back into a plain NVFP4 checkpoint. - 2026/06: - Expert Parallelism (EP) for distributed MoE training via DeepEP, remote training through Tinker-compatible APIs, Context Parallelism for hybrid SSM models (Nemotron-H, Falcon-H1, Bamba), BitNet 1.58-bit fine-tuning, and a multimodal assistant-only loss-masking fix. - 2026/04: - New model support.
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