--- title: "FineTuningLLMs vs BMTrain" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dvgodoy-finetuningllms-vs-openbmb-bmtrain" tools: ["dvgodoy-finetuningllms", "openbmb-bmtrain"] --- # FineTuningLLMs vs BMTrain *GraphCanon updated Aug 24, 2026* ## Verdict Pick FineTuningLLMs if fineTuningLLMs is designed for users familiar with PyTorch and Hugging Face who seek practical guidance via Jupyter Notebooks; pick BMTrain if bMTrain: Efficient Training for Big Models in Python. [FineTuningLLMs](https://github.com/dvgodoy/FineTuningLLMs) reports 855 GitHub stars, 116 forks, and 4 open issues, last pushed Feb 28, 2026. [BMTrain](https://github.com/OpenBMB/BMTrain) has 623 stars, 88 forks, and 10 open issues, last pushed Jul 7, 2026. Figures are from public GitHub metadata via [FineTuningLLMs's repository](https://github.com/dvgodoy/FineTuningLLMs) and [BMTrain's repository](https://github.com/OpenBMB/BMTrain). | | [FineTuningLLMs](/tools/dvgodoy-finetuningllms.md) | [BMTrain](/tools/openbmb-bmtrain.md) | | --- | --- | --- | | Tagline | Official repository for 'A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face' | Efficient Training for Big Models | | Stars | 855 | 623 | | Forks | 116 | 88 | | Open issues | 4 | 10 | | Language | Jupyter Notebook | Python | | Adopt for | FineTuningLLMs is designed for users familiar with PyTorch and Hugging Face who seek practical guidance via Jupyter Notebooks. | BMTrain: Efficient Training for Big Models in Python. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | LLM Frameworks, Model Training | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [FineTuningLLMs](/tools/dvgodoy-finetuningllms.md) | [BMTrain](/tools/openbmb-bmtrain.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Steady (60%) | | Days since push | 176d | 30d | | Open issues (now) | 4 | 10 | | Stars delta | +4 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/dvgodoy-finetuningllms/trust.md) | [trust report](/tools/openbmb-bmtrain/trust.md) | ## Decision facts: FineTuningLLMs - **Adopt for:** FineTuningLLMs is designed for users familiar with PyTorch and Hugging Face who seek practical guidance via Jupyter Notebooks. ## Decision facts: BMTrain - **Adopt for:** BMTrain: Efficient Training for Big Models in Python. ## Choose when ### Choose FineTuningLLMs if… - FineTuningLLMs is primarily Jupyter Notebook; BMTrain is Python. - License: FineTuningLLMs is MIT, BMTrain is Apache-2.0. - Tags unique to FineTuningLLMs: bitsandbytes, finetuning, hugging-face, large language models. - Also covers LLM Frameworks. - You need hands-on, step-by-step instructions using PyTorch and the Hugging Face ecosystem ### Choose BMTrain if… - BMTrain is primarily Python; FineTuningLLMs is Jupyter Notebook. - License: BMTrain is Apache-2.0, FineTuningLLMs is MIT. - Tags unique to BMTrain: apache-2.0-license, big model, pre-training, python. - BMTrain ships Docker support for self-hosted deployment. - Need efficient pre-training or fine-tuning of large scale models ## When NOT to use FineTuningLLMs - Not interested in PyTorch; prefer TensorFlow or another framework - Seek theoretical background over practical applications ## When NOT to use BMTrain - Seeking a tool that installs without compiling C/CUDA source code - Require immediate setup; BMTrain's installation might be time-consuming due to compilation steps ## Common questions ### What is the difference between FineTuningLLMs and BMTrain? FineTuningLLMs: Official repository for 'A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face'. BMTrain: Efficient Training for Big Models. See the comparison table for live GitHub stats and shared categories. ### When should I choose FineTuningLLMs over BMTrain? Choose FineTuningLLMs over BMTrain when FineTuningLLMs is primarily Jupyter Notebook; BMTrain is Python; License: FineTuningLLMs is MIT, BMTrain is Apache-2.0; Tags unique to FineTuningLLMs: bitsandbytes, finetuning, hugging-face, large language models; Also covers LLM Frameworks; You need hands-on, step-by-step instructions using PyTorch and the Hugging Face ecosystem. ### When should I choose BMTrain over FineTuningLLMs? Choose BMTrain over FineTuningLLMs when BMTrain is primarily Python; FineTuningLLMs is Jupyter Notebook; License: BMTrain is Apache-2.0, FineTuningLLMs is MIT; Tags unique to BMTrain: apache-2.0-license, big model, pre-training, python; BMTrain ships Docker support for self-hosted deployment; Need efficient pre-training or fine-tuning of large scale models. ### When should I avoid FineTuningLLMs? Not interested in PyTorch; prefer TensorFlow or another framework Seek theoretical background over practical applications ### When should I avoid BMTrain? Seeking a tool that installs without compiling C/CUDA source code Require immediate setup; BMTrain's installation might be time-consuming due to compilation steps ### Is FineTuningLLMs or BMTrain more popular on GitHub? FineTuningLLMs has more GitHub stars (855 vs 623). Stars measure visibility, not whether either tool fits your constraints. ### Are FineTuningLLMs and BMTrain open source? Yes - both are open-source projects on GitHub (FineTuningLLMs: MIT, BMTrain: Apache-2.0). ### Where can I find alternatives to FineTuningLLMs or BMTrain? GraphCanon lists graph-backed alternatives at [FineTuningLLMs alternatives](/tools/dvgodoy-finetuningllms/alternatives) and [BMTrain alternatives](/tools/openbmb-bmtrain/alternatives) ([FineTuningLLMs markdown twin](/tools/dvgodoy-finetuningllms/alternatives.md), [BMTrain markdown twin](/tools/openbmb-bmtrain/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/dvgodoy-finetuningllms-vs-openbmb-bmtrain.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, FineTuningLLMs or BMTrain? FineTuningLLMs: Slowing. BMTrain: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for FineTuningLLMs and BMTrain? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [FineTuningLLMs trust report](/tools/dvgodoy-finetuningllms/trust); [BMTrain trust report](/tools/openbmb-bmtrain/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dvgodoy-finetuningllms`](/api/graphcanon/graph?tool=dvgodoy-finetuningllms) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_