--- title: "LLM-Adapters vs llm-engineer-toolkit" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agi-edgerunners-llm-adapters-vs-kalyanks-nlp-llm-engineer-toolkit" tools: ["agi-edgerunners-llm-adapters", "kalyanks-nlp-llm-engineer-toolkit"] --- # LLM-Adapters vs llm-engineer-toolkit *GraphCanon updated Sep 20, 2026* ## Verdict Pick LLM-Adapters if lLM-Adapters offers Python-based tools for efficient fine-tuning of language models with Apache-2.0 licensing; pick llm-engineer-toolkit if the llm-engineer-toolkit is a curated list of over 120 LLM libraries, organized into categories such as LLM Training, Inference, and Serving, aimed at LLM engineers and developers. [LLM-Adapters](https://arxiv.org/abs/2304.01933) reports 1.2k GitHub stars, 116 forks, and 55 open issues, last pushed Mar 10, 2024. [llm-engineer-toolkit](https://www.linkedin.com/in/kalyanksnlp/) has 11k stars, 1.7k forks, and 17 open issues, last pushed Sep 9, 2026. Figures are from public GitHub metadata via [LLM-Adapters's repository](https://github.com/AGI-Edgerunners/LLM-Adapters) and [llm-engineer-toolkit's repository](https://github.com/KalyanKS-NLP/llm-engineer-toolkit). | | [LLM-Adapters](/tools/agi-edgerunners-llm-adapters.md) | [llm-engineer-toolkit](/tools/kalyanks-nlp-llm-engineer-toolkit.md) | | --- | --- | --- | | Tagline | Code for EMNLP 2023 Paper on Parameter-Efficient Fine-Tuning of LLMs | A curated list of 120+ LLM libraries category wise | | Stars | 1,235 | 10,793 | | Forks | 116 | 1,687 | | Open issues | 55 | 17 | | Language | Python | - | | Adopt for | LLM-Adapters offers Python-based tools for efficient fine-tuning of language models with Apache-2.0 licensing. | The llm-engineer-toolkit is a curated list of over 120 LLM libraries, organized into categories such as LLM Training, Inference, and Serving, aimed at LLM engineers and developers. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | LLM Frameworks, Model Training | Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LLM-Adapters](/tools/agi-edgerunners-llm-adapters.md) | [llm-engineer-toolkit](/tools/kalyanks-nlp-llm-engineer-toolkit.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 923d | 9d | | Open issues (now) | 55 | 17 | | Stars delta | +1 (30d) | +26 (30d) | | Open issues delta | 0 (30d) | +2 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/agi-edgerunners-llm-adapters/trust.md) | [trust report](/tools/kalyanks-nlp-llm-engineer-toolkit/trust.md) | ## Decision facts: LLM-Adapters - **Adopt for:** LLM-Adapters offers Python-based tools for efficient fine-tuning of language models with Apache-2.0 licensing. ## Decision facts: llm-engineer-toolkit - **Adopt for:** The llm-engineer-toolkit is a curated list of over 120 LLM libraries, organized into categories such as LLM Training, Inference, and Serving, aimed at LLM engineers and developers. ## Choose when ### Choose LLM-Adapters if… - Tags unique to LLM-Adapters: adapters, fine-tuning, parameter-efficient. - Optimizing resource usage when you need to fine-tune large language models without altering their core parameters ### Choose llm-engineer-toolkit if… - Tags unique to llm-engineer-toolkit: ai-engineer, generative-ai, llm-engineer, llms. - Also covers Inference & Serving. - When you need a categorized list of over 120 LLM libraries to streamline your search for specific tools or frameworks. ## When NOT to use LLM-Adapters - You require a full retraining approach that modifies all model weights, not just adapters - Your project timeline does not allow for integrating and testing new methodologies from recent papers like EMNLP 2023 ## When NOT to use llm-engineer-toolkit - If you are seeking a repository that provides detailed implementation guides or code samples for each library, as the llm-engineer-toolkit primarily serves as a list. - When you require real-time updates or active development support, as the toolkit is a static list and does not include active development or community support features. ## Common questions ### What is the difference between LLM-Adapters and llm-engineer-toolkit? LLM-Adapters: Code for EMNLP 2023 Paper on Parameter-Efficient Fine-Tuning of LLMs. llm-engineer-toolkit: A curated list of 120+ LLM libraries category wise. See the comparison table for live GitHub stats and shared categories. ### When should I choose LLM-Adapters over llm-engineer-toolkit? Choose LLM-Adapters over llm-engineer-toolkit when Tags unique to LLM-Adapters: adapters, fine-tuning, parameter-efficient; Optimizing resource usage when you need to fine-tune large language models without altering their core parameters. ### When should I choose llm-engineer-toolkit over LLM-Adapters? Choose llm-engineer-toolkit over LLM-Adapters when Tags unique to llm-engineer-toolkit: ai-engineer, generative-ai, llm-engineer, llms; Also covers Inference & Serving; When you need a categorized list of over 120 LLM libraries to streamline your search for specific tools or frameworks. ### When should I avoid LLM-Adapters? You require a full retraining approach that modifies all model weights, not just adapters Your project timeline does not allow for integrating and testing new methodologies from recent papers like EMNLP 2023 ### When should I avoid llm-engineer-toolkit? If you are seeking a repository that provides detailed implementation guides or code samples for each library, as the llm-engineer-toolkit primarily serves as a list. When you require real-time updates or active development support, as the toolkit is a static list and does not include active development or community support features. ### Is LLM-Adapters or llm-engineer-toolkit more popular on GitHub? llm-engineer-toolkit has more GitHub stars (10,793 vs 1,235). Stars measure visibility, not whether either tool fits your constraints. ### Are LLM-Adapters and llm-engineer-toolkit open source? Yes - both are open-source projects on GitHub (LLM-Adapters: Apache-2.0, llm-engineer-toolkit: Apache-2.0). ### Where can I find alternatives to LLM-Adapters or llm-engineer-toolkit? GraphCanon lists graph-backed alternatives at [LLM-Adapters alternatives](/tools/agi-edgerunners-llm-adapters/alternatives) and [llm-engineer-toolkit alternatives](/tools/kalyanks-nlp-llm-engineer-toolkit/alternatives) ([LLM-Adapters markdown twin](/tools/agi-edgerunners-llm-adapters/alternatives.md), [llm-engineer-toolkit markdown twin](/tools/kalyanks-nlp-llm-engineer-toolkit/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/agi-edgerunners-llm-adapters-vs-kalyanks-nlp-llm-engineer-toolkit.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LLM-Adapters or llm-engineer-toolkit? LLM-Adapters: Dormant. llm-engineer-toolkit: Active. 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-Adapters and llm-engineer-toolkit? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LLM-Adapters trust report](/tools/agi-edgerunners-llm-adapters/trust); [llm-engineer-toolkit trust report](/tools/kalyanks-nlp-llm-engineer-toolkit/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agi-edgerunners-llm-adapters`](/api/graphcanon/graph?tool=agi-edgerunners-llm-adapters) - 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/_