--- title: "recurrentgemma vs modelz-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/google-deepmind-recurrentgemma-vs-tensorchord-modelz-llm" tools: ["google-deepmind-recurrentgemma", "tensorchord-modelz-llm"] --- # recurrentgemma vs modelz-llm *GraphCanon updated Jul 12, 2026* ## Verdict Pick recurrentgemma when more GitHub stars (682 vs 276) - visibility, not fit; pick modelz-llm when tags unique to modelz-llm: llm, nlp, openai-api, transformer. [recurrentgemma](https://github.com/google-deepmind/recurrentgemma) reports 682 GitHub stars, 41 forks, and 4 open issues, last pushed Feb 6, 2026. [modelz-llm](https://modelz.ai) has 276 stars, 27 forks, and 12 open issues, last pushed Oct 11, 2023. Figures are from public GitHub metadata via [recurrentgemma's repository](https://github.com/google-deepmind/recurrentgemma) and [modelz-llm's repository](https://github.com/tensorchord/modelz-llm). | | [recurrentgemma](/tools/google-deepmind-recurrentgemma.md) | [modelz-llm](/tools/tensorchord-modelz-llm.md) | | --- | --- | --- | | Tagline | Open weights language model from Google DeepMind, based on Griffin. | OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others) | | Stars | 682 | 276 | | Forks | 41 | 27 | | Open issues | 4 | 12 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | LLM Frameworks, Model Training | LLM Frameworks, Model Training, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [recurrentgemma](/tools/google-deepmind-recurrentgemma.md) | [modelz-llm](/tools/tensorchord-modelz-llm.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 154d | 1004d | | Open issues (now) | 4 | 12 | | Security scan | No lockfile | No criticals | | Full report | [trust report](/tools/google-deepmind-recurrentgemma/trust.md) | [trust report](/tools/tensorchord-modelz-llm/trust.md) | ## Shared compatibility - **Python**: [recurrentgemma](/tools/google-deepmind-recurrentgemma.md) - Python runtime; [modelz-llm](/tools/tensorchord-modelz-llm.md) - Python runtime ## Choose when ### Choose recurrentgemma if… - More GitHub stars (682 vs 276) - visibility, not fit. ### Choose modelz-llm if… - Tags unique to modelz-llm: llm, nlp, openai-api, transformer. - Also covers Vector Databases. ## When NOT to use recurrentgemma - Last GitHub push was 156 days ago (slowing maintenance, Feb 6, 2026). Validate activity before betting a new project on recurrentgemma. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## When NOT to use modelz-llm - Last GitHub push was 1005 days ago (dormant maintenance, Oct 11, 2023). Validate activity before betting a new project on modelz-llm. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between recurrentgemma and modelz-llm? recurrentgemma: Open weights language model from Google DeepMind, based on Griffin.. modelz-llm: OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others). See the comparison table for live GitHub stats and shared categories. ### When should I choose recurrentgemma over modelz-llm? Choose recurrentgemma over modelz-llm when More GitHub stars (682 vs 276) - visibility, not fit. ### When should I choose modelz-llm over recurrentgemma? Choose modelz-llm over recurrentgemma when Tags unique to modelz-llm: llm, nlp, openai-api, transformer; Also covers Vector Databases. ### When should I avoid recurrentgemma? Last GitHub push was 156 days ago (slowing maintenance, Feb 6, 2026). Validate activity before betting a new project on recurrentgemma. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### When should I avoid modelz-llm? Last GitHub push was 1005 days ago (dormant maintenance, Oct 11, 2023). Validate activity before betting a new project on modelz-llm. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is recurrentgemma or modelz-llm more popular on GitHub? recurrentgemma has more GitHub stars (682 vs 276). Stars measure visibility, not whether either tool fits your constraints. ### Are recurrentgemma and modelz-llm open source? Yes - both are open-source projects on GitHub (recurrentgemma: Apache-2.0, modelz-llm: Apache-2.0). ### Where can I find alternatives to recurrentgemma or modelz-llm? GraphCanon lists graph-backed alternatives at [recurrentgemma alternatives](/tools/google-deepmind-recurrentgemma/alternatives) and [modelz-llm alternatives](/tools/tensorchord-modelz-llm/alternatives) ([recurrentgemma markdown twin](/tools/google-deepmind-recurrentgemma/alternatives.md), [modelz-llm markdown twin](/tools/tensorchord-modelz-llm/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/google-deepmind-recurrentgemma-vs-tensorchord-modelz-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, recurrentgemma or modelz-llm? recurrentgemma: Slowing. modelz-llm: 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 recurrentgemma and modelz-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [recurrentgemma trust report](/tools/google-deepmind-recurrentgemma/trust); [modelz-llm trust report](/tools/tensorchord-modelz-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=google-deepmind-recurrentgemma`](/api/graphcanon/graph?tool=google-deepmind-recurrentgemma) - 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/_