--- title: "awesome-llms-fine-tuning vs FineTuningLLMs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/curated-awesome-lists-awesome-llms-fine-tuning-vs-dvgodoy-finetuningllms" tools: ["curated-awesome-lists-awesome-llms-fine-tuning", "dvgodoy-finetuningllms"] --- # awesome-llms-fine-tuning vs FineTuningLLMs *GraphCanon updated Aug 24, 2026* ## Verdict Pick awesome-llms-fine-tuning if a curated list for LLM fine-tuning resources including tutorials, papers, and tools; pick FineTuningLLMs if fineTuningLLMs is designed for users familiar with PyTorch and Hugging Face who seek practical guidance via Jupyter Notebooks. [awesome-llms-fine-tuning](https://github.com/Curated-Awesome-Lists/awesome-llms-fine-tuning) reports 525 GitHub stars, 79 forks, and 10 open issues, last pushed Dec 2, 2024. [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 [awesome-llms-fine-tuning's repository](https://github.com/Curated-Awesome-Lists/awesome-llms-fine-tuning) and [FineTuningLLMs's repository](https://github.com/dvgodoy/FineTuningLLMs). | | [awesome-llms-fine-tuning](/tools/curated-awesome-lists-awesome-llms-fine-tuning.md) | [FineTuningLLMs](/tools/dvgodoy-finetuningllms.md) | | --- | --- | --- | | Tagline | A comprehensive collection of resources for fine-tuning Large Language Models. | Official repository for 'A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face' | | Stars | 525 | 855 | | Forks | 79 | 116 | | Open issues | 10 | 4 | | Language | - | Jupyter Notebook | | Adopt for | A curated list for LLM fine-tuning resources including tutorials, papers, and tools. | FineTuningLLMs is designed for users familiar with PyTorch and Hugging Face who seek practical guidance via Jupyter Notebooks. | | Persona | - | - | | Runtime | - | - | | License | (unknown) - (unknown) | MIT | | Categories | LLM Frameworks, Model Training | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-llms-fine-tuning](/tools/curated-awesome-lists-awesome-llms-fine-tuning.md) | [FineTuningLLMs](/tools/dvgodoy-finetuningllms.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 629d | 176d | | Open issues (now) | 10 | 4 | | Stars delta | 0 (30d) | +4 (30d) | | Open issues delta | +1 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/curated-awesome-lists-awesome-llms-fine-tuning/trust.md) | [trust report](/tools/dvgodoy-finetuningllms/trust.md) | ## Decision facts: awesome-llms-fine-tuning - **Adopt for:** A curated list for LLM fine-tuning resources including tutorials, papers, and tools. - **License detail:** (unknown) - (unknown) ## 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 awesome-llms-fine-tuning if… - Tags unique to awesome-llms-fine-tuning: ai, awesome-list, deep-learning, gpt. - Need extensive guidance on LLM-specific fine-tuning strategies ### Choose FineTuningLLMs if… - Tags unique to FineTuningLLMs: bitsandbytes, finetuning, hugging-face, llamacpp. - You need hands-on, step-by-step instructions using PyTorch and the Hugging Face ecosystem - More GitHub stars (855 vs 525) - visibility, not fit. ## When NOT to use awesome-llms-fine-tuning - Looking for real-time interactive support or direct code implementation help - Favor more specialized tools for immediate performance optimization over broad learning ## 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 awesome-llms-fine-tuning and FineTuningLLMs? awesome-llms-fine-tuning: A comprehensive collection of resources for fine-tuning Large Language Models.. 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 awesome-llms-fine-tuning over FineTuningLLMs? Choose awesome-llms-fine-tuning over FineTuningLLMs when Tags unique to awesome-llms-fine-tuning: ai, awesome-list, deep-learning, gpt; Need extensive guidance on LLM-specific fine-tuning strategies. ### When should I choose FineTuningLLMs over awesome-llms-fine-tuning? Choose FineTuningLLMs over awesome-llms-fine-tuning when Tags unique to FineTuningLLMs: bitsandbytes, finetuning, hugging-face, llamacpp; You need hands-on, step-by-step instructions using PyTorch and the Hugging Face ecosystem; More GitHub stars (855 vs 525) - visibility, not fit. ### When should I avoid awesome-llms-fine-tuning? Looking for real-time interactive support or direct code implementation help Favor more specialized tools for immediate performance optimization over broad learning ### When should I avoid FineTuningLLMs? Not interested in PyTorch; prefer TensorFlow or another framework Seek theoretical background over practical applications ### Is awesome-llms-fine-tuning or FineTuningLLMs more popular on GitHub? FineTuningLLMs has more GitHub stars (855 vs 525). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-llms-fine-tuning and FineTuningLLMs open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-llms-fine-tuning or FineTuningLLMs? GraphCanon lists graph-backed alternatives at [awesome-llms-fine-tuning alternatives](/tools/curated-awesome-lists-awesome-llms-fine-tuning/alternatives) and [FineTuningLLMs alternatives](/tools/dvgodoy-finetuningllms/alternatives) ([awesome-llms-fine-tuning markdown twin](/tools/curated-awesome-lists-awesome-llms-fine-tuning/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/curated-awesome-lists-awesome-llms-fine-tuning-vs-dvgodoy-finetuningllms.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-llms-fine-tuning or FineTuningLLMs? awesome-llms-fine-tuning: 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 awesome-llms-fine-tuning and FineTuningLLMs? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-llms-fine-tuning trust report](/tools/curated-awesome-lists-awesome-llms-fine-tuning/trust); [FineTuningLLMs trust report](/tools/dvgodoy-finetuningllms/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=curated-awesome-lists-awesome-llms-fine-tuning`](/api/graphcanon/graph?tool=curated-awesome-lists-awesome-llms-fine-tuning) - 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/_