--- title: "LLM-Finetuning vs FineTuningLLMs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ashishpatel26-llm-finetuning-vs-dvgodoy-finetuningllms" tools: ["ashishpatel26-llm-finetuning", "dvgodoy-finetuningllms"] --- # LLM-Finetuning vs FineTuningLLMs *GraphCanon updated Aug 24, 2026* ## Verdict Pick LLM-Finetuning if jupyter Notebook repository for fine-tuning large language models via PEFT and LoRA using Hugging Face Transformers; pick FineTuningLLMs if fineTuningLLMs is designed for users familiar with PyTorch and Hugging Face who seek practical guidance via Jupyter Notebooks. [LLM-Finetuning](https://github.com/ashishpatel26/LLM-Finetuning) reports 3.0k GitHub stars, 771 forks, and 3 open issues, last pushed Aug 1, 2025. [FineTuningLLMs](https://github.com/dvgodoy/FineTuningLLMs) has 855 stars, 116 forks, and 4 open issues, last pushed Feb 28, 2026. Figures are from public GitHub metadata via [LLM-Finetuning's repository](https://github.com/ashishpatel26/LLM-Finetuning) and [FineTuningLLMs's repository](https://github.com/dvgodoy/FineTuningLLMs). | | [LLM-Finetuning](/tools/ashishpatel26-llm-finetuning.md) | [FineTuningLLMs](/tools/dvgodoy-finetuningllms.md) | | --- | --- | --- | | Tagline | LLM Finetuning with PEFT | Official repository for 'A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face' | | Stars | 2,979 | 855 | | Forks | 771 | 116 | | Open issues | 3 | 4 | | Language | Jupyter Notebook | Jupyter Notebook | | Adopt for | Jupyter Notebook repository for fine-tuning large language models via PEFT and LoRA using Hugging Face Transformers. | FineTuningLLMs is designed for users familiar with PyTorch and Hugging Face who seek practical guidance via Jupyter Notebooks. | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | LLM Frameworks, Model Training | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LLM-Finetuning](/tools/ashishpatel26-llm-finetuning.md) | [FineTuningLLMs](/tools/dvgodoy-finetuningllms.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 387d | 176d | | Open issues (now) | 3 | 4 | | Stars delta | +13 (30d) | +4 (30d) | | Full report | [trust report](/tools/ashishpatel26-llm-finetuning/trust.md) | [trust report](/tools/dvgodoy-finetuningllms/trust.md) | ## Decision facts: LLM-Finetuning - **Adopt for:** Jupyter Notebook repository for fine-tuning large language models via PEFT and LoRA using Hugging Face Transformers. ## Decision facts: FineTuningLLMs - **Adopt for:** FineTuningLLMs is designed for users familiar with PyTorch and Hugging Face who seek practical guidance via Jupyter Notebooks. ## Choose when ### Choose LLM-Finetuning if… - Tags unique to LLM-Finetuning: falcon, huggingface, llama, llama2. - Need to specialize a pre-trained model with specific datasets or tasks using advanced techniques like PEFT and LoRA. - More GitHub stars (3.0k vs 855) - visibility, not fit. ### Choose FineTuningLLMs if… - Tags unique to FineTuningLLMs: bitsandbytes, finetuning, hugging-face, large language models. - You need hands-on, step-by-step instructions using PyTorch and the Hugging Face ecosystem - More recently updated (last pushed Feb 28, 2026). ## When NOT to use LLM-Finetuning - Looking for a framework that automates the entire fine-tuning process with minimal user interaction. - Prefer a text-generation pipeline where fine-grained control over PEFT and LoRA is not necessary. ## When NOT to use FineTuningLLMs - Not interested in PyTorch; prefer TensorFlow or another framework - Seek theoretical background over practical applications ## Common questions ### What is the difference between LLM-Finetuning and FineTuningLLMs? LLM-Finetuning: LLM Finetuning with PEFT. FineTuningLLMs: Official repository for 'A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face'. See the comparison table for live GitHub stats and shared categories. ### When should I choose LLM-Finetuning over FineTuningLLMs? Choose LLM-Finetuning over FineTuningLLMs when Tags unique to LLM-Finetuning: falcon, huggingface, llama, llama2; Need to specialize a pre-trained model with specific datasets or tasks using advanced techniques like PEFT and LoRA; More GitHub stars (3.0k vs 855) - visibility, not fit. ### When should I choose FineTuningLLMs over LLM-Finetuning? Choose FineTuningLLMs over LLM-Finetuning when Tags unique to FineTuningLLMs: bitsandbytes, finetuning, hugging-face, large language models; You need hands-on, step-by-step instructions using PyTorch and the Hugging Face ecosystem; More recently updated (last pushed Feb 28, 2026). ### When should I avoid LLM-Finetuning? Looking for a framework that automates the entire fine-tuning process with minimal user interaction. Prefer a text-generation pipeline where fine-grained control over PEFT and LoRA is not necessary. ### When should I avoid FineTuningLLMs? Not interested in PyTorch; prefer TensorFlow or another framework Seek theoretical background over practical applications ### Is LLM-Finetuning or FineTuningLLMs more popular on GitHub? LLM-Finetuning has more GitHub stars (2,979 vs 855). Stars measure visibility, not whether either tool fits your constraints. ### Are LLM-Finetuning and FineTuningLLMs open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to LLM-Finetuning or FineTuningLLMs? GraphCanon lists graph-backed alternatives at [LLM-Finetuning alternatives](/tools/ashishpatel26-llm-finetuning/alternatives) and [FineTuningLLMs alternatives](/tools/dvgodoy-finetuningllms/alternatives) ([LLM-Finetuning markdown twin](/tools/ashishpatel26-llm-finetuning/alternatives.md), [FineTuningLLMs markdown twin](/tools/dvgodoy-finetuningllms/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/ashishpatel26-llm-finetuning-vs-dvgodoy-finetuningllms.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LLM-Finetuning or FineTuningLLMs? LLM-Finetuning: Dormant. FineTuningLLMs: Slowing. 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 LLM-Finetuning and FineTuningLLMs? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LLM-Finetuning trust report](/tools/ashishpatel26-llm-finetuning/trust); [FineTuningLLMs trust report](/tools/dvgodoy-finetuningllms/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ashishpatel26-llm-finetuning`](/api/graphcanon/graph?tool=ashishpatel26-llm-finetuning) - 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/_