--- title: "llama3.java vs exllama" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mukel-llama3-java-vs-turboderp-exllama" tools: ["mukel-llama3-java", "turboderp-exllama"] --- # llama3.java vs exllama *GraphCanon updated Sep 20, 2026* ## Verdict Pick llama3.java if llama3.java is a Java-centric tool for performing inference with Llama 3+ models without relying on external dependencies; pick exllama if exLlama provides a memory-efficient implementation of the LLaMa model with support for quantized weights, primarily aimed at users with NVIDIA GPUs from the 30-series onwards. [llama3.java](https://github.com/mukel/llama3.java) reports 818 GitHub stars, 95 forks, and 18 open issues, last pushed Apr 24, 2026. [exllama](https://github.com/turboderp/exllama) has 2.9k stars, 220 forks, and 65 open issues, last pushed Sep 30, 2023. Figures are from public GitHub metadata via [llama3.java's repository](https://github.com/mukel/llama3.java) and [exllama's repository](https://github.com/turboderp/exllama). | | [llama3.java](/tools/mukel-llama3-java.md) | [exllama](/tools/turboderp-exllama.md) | | --- | --- | --- | | Tagline | Llama 3+ inference in pure Java | Memory-efficient rewrite of HF transformers for Llama with quantized weights | | Stars | 818 | 2,943 | | Forks | 95 | 220 | | Open issues | 18 | 65 | | Language | Java | Python | | Adopt for | llama3.java is a Java-centric tool for performing inference with Llama 3+ models without relying on external dependencies. | ExLlama provides a memory-efficient implementation of the LLaMa model with support for quantized weights, primarily aimed at users with NVIDIA GPUs from the 30-series onwards. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Inference & Serving | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [llama3.java](/tools/mukel-llama3-java.md) | [exllama](/tools/turboderp-exllama.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 148d | 1072d | | Open issues (now) | 18 | 65 | | Stars delta | +2 (30d) | +6 (30d) | | Full report | [trust report](/tools/mukel-llama3-java/trust.md) | [trust report](/tools/turboderp-exllama/trust.md) | ## Decision facts: llama3.java - **Adopt for:** llama3.java is a Java-centric tool for performing inference with Llama 3+ models without relying on external dependencies. ## Decision facts: exllama - **Adopt for:** ExLlama provides a memory-efficient implementation of the LLaMa model with support for quantized weights, primarily aimed at users with NVIDIA GPUs from the 30-series onwards. ## Choose when ### Choose llama3.java if… - llama3.java is primarily Java; exllama is Python. - Tags unique to llama3.java: chatgpt, genai, gguf, huggingface. - Use llama3.java when you require language model inference capabilities fully implemented in Java, ensuring consistency within Java-based projects. ### Choose exllama if… - exllama is primarily Python; llama3.java is Java. - Tags unique to exllama: docker, llama model, memory-efficient, nvidia gpu. - Also covers LLM Frameworks. - exllama ships Docker support for self-hosted deployment. - - When deploying LLaMa models on NVIDIA GPUs from the 30-series or later that have strong FP16 support. ## When NOT to use llama3.java - Avoid using llama3.java if your project needs specific features such as real-time chat integration that may be better supported by more specialized libraries. - Do opt for a different tool if you prioritize performance metrics over the convenience of having an entirely Java-based solution, as competing tools might offer optimizations not found in llama3.java. ## When NOT to use exllama - - If you are operating older GPUs such as Pascal series, which lack robust FP16 support; alternatives like AutoGPTQ might perform better. - - In scenarios that involve AMD GPU hardware (due to limited testing and optimization efforts). ## Common questions ### What is the difference between llama3.java and exllama? llama3.java: Llama 3+ inference in pure Java. exllama: Memory-efficient rewrite of HF transformers for Llama with quantized weights. See the comparison table for live GitHub stats and shared categories. ### When should I choose llama3.java over exllama? Choose llama3.java over exllama when llama3.java is primarily Java; exllama is Python; Tags unique to llama3.java: chatgpt, genai, gguf, huggingface; Use llama3.java when you require language model inference capabilities fully implemented in Java, ensuring consistency within Java-based projects. ### When should I choose exllama over llama3.java? Choose exllama over llama3.java when exllama is primarily Python; llama3.java is Java; Tags unique to exllama: docker, llama model, memory-efficient, nvidia gpu; Also covers LLM Frameworks; exllama ships Docker support for self-hosted deployment; - When deploying LLaMa models on NVIDIA GPUs from the 30-series or later that have strong FP16 support. ### When should I avoid llama3.java? Avoid using llama3.java if your project needs specific features such as real-time chat integration that may be better supported by more specialized libraries. Do opt for a different tool if you prioritize performance metrics over the convenience of having an entirely Java-based solution, as competing tools might offer optimizations not found in llama3.java. ### When should I avoid exllama? - If you are operating older GPUs such as Pascal series, which lack robust FP16 support; alternatives like AutoGPTQ might perform better. - In scenarios that involve AMD GPU hardware (due to limited testing and optimization efforts). ### Is llama3.java or exllama more popular on GitHub? exllama has more GitHub stars (2,943 vs 818). Stars measure visibility, not whether either tool fits your constraints. ### Are llama3.java and exllama open source? Yes - both are open-source projects on GitHub (llama3.java: MIT, exllama: MIT). ### Where can I find alternatives to llama3.java or exllama? GraphCanon lists graph-backed alternatives at [llama3.java alternatives](/tools/mukel-llama3-java/alternatives) and [exllama alternatives](/tools/turboderp-exllama/alternatives) ([llama3.java markdown twin](/tools/mukel-llama3-java/alternatives.md), [exllama markdown twin](/tools/turboderp-exllama/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/mukel-llama3-java-vs-turboderp-exllama.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, llama3.java or exllama? llama3.java: Slowing. exllama: Dormant. 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 llama3.java and exllama? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llama3.java trust report](/tools/mukel-llama3-java/trust); [exllama trust report](/tools/turboderp-exllama/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mukel-llama3-java`](/api/graphcanon/graph?tool=mukel-llama3-java) - 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/_