--- title: "BMTrain vs gorilla" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/openbmb-bmtrain-vs-shishirpatil-gorilla" tools: ["openbmb-bmtrain", "shishirpatil-gorilla"] --- # BMTrain vs gorilla *GraphCanon updated Oct 13, 2026* ## Verdict Pick BMTrain if bMTrain: Efficient Training for Big Models in Python; pick gorilla if gorilla specializes in training and evaluating large language models (LLMs) to perform function calls or tool usages. [BMTrain](https://github.com/OpenBMB/BMTrain) reports 624 GitHub stars, 89 forks, and 10 open issues, last pushed Jul 7, 2026. [gorilla](https://gorilla.cs.berkeley.edu/) has 13k stars, 1.4k forks, and 278 open issues, last pushed Apr 13, 2026. Figures are from public GitHub metadata via [BMTrain's repository](https://github.com/OpenBMB/BMTrain) and [gorilla's repository](https://github.com/ShishirPatil/gorilla). | | [BMTrain](/tools/openbmb-bmtrain.md) | [gorilla](/tools/shishirpatil-gorilla.md) | | --- | --- | --- | | Tagline | Efficient Training for Big Models | Training and Evaluating LLMs for Function Calls (Tool Calls) | | Stars | 624 | 13,017 | | Forks | 89 | 1,406 | | Open issues | 10 | 278 | | Language | Python | Python | | Adopt for | BMTrain: Efficient Training for Big Models in Python. | Gorilla specializes in training and evaluating large language models (LLMs) to perform function calls or tool usages. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Gorilla can be used freely under the Apache 2.0 license for both academic and commercial purposes. | | Categories | Model Training | Evaluation & Observability, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [BMTrain](/tools/openbmb-bmtrain.md) | [gorilla](/tools/shishirpatil-gorilla.md) | | --- | --- | --- | | Days since push | 97d | 147d | | Open issues (now) | 10 | 278 | | Stars delta | +1 (30d) | +29 (30d) | | Open issues delta | 0 (30d) | +6 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/openbmb-bmtrain/trust.md) | [trust report](/tools/shishirpatil-gorilla/trust.md) | ## Shared compatibility - **Python**: [BMTrain](/tools/openbmb-bmtrain.md) - Python runtime; [gorilla](/tools/shishirpatil-gorilla.md) - Python runtime ## Decision facts: BMTrain - **Adopt for:** BMTrain: Efficient Training for Big Models in Python. ## Decision facts: gorilla - **Pricing:** freemium - **Requirements:** Gorilla works best with Python environments and requires installation through pip or local repository cloning. - **Adopt for:** Gorilla specializes in training and evaluating large language models (LLMs) to perform function calls or tool usages. - **License detail:** Gorilla can be used freely under the Apache 2.0 license for both academic and commercial purposes. ## Choose when ### Choose BMTrain if… - Tags unique to BMTrain: apache-2.0 license, big model, fine-tuning, pre-training. - BMTrain ships Docker support for self-hosted deployment. - Need efficient pre-training or fine-tuning of large scale models ### Choose gorilla if… - Requirements: Gorilla works best with Python environments and requires installation through pip or local repository cloning.. - Tags unique to gorilla: api, chatgpt, claude-api, gpt-4-api. - Also covers Evaluation & Observability. - You should consider using Gorilla if you need a comprehensive framework for developing LLMs capable of leveraging external functions effectively. ## When NOT to use BMTrain - Seeking a tool that installs without compiling C/CUDA source code - Require immediate setup; BMTrain's installation might be time-consuming due to compilation steps ## When NOT to use gorilla - Avoid Gorilla if your primary focus is not on function calling or tool usage capabilities for LLMs; another model-specific framework may better fit your needs. - If the lack of a direct comparison tool to other models' function-calling performance is critical in your decision process, and you find no suitable alternatives listed on their leaderboard. ## Common questions ### What is the difference between BMTrain and gorilla? BMTrain: Efficient Training for Big Models. gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls). See the comparison table for live GitHub stats and shared categories. ### When should I choose BMTrain over gorilla? Choose BMTrain over gorilla when Tags unique to BMTrain: apache-2.0 license, big model, fine-tuning, pre-training; BMTrain ships Docker support for self-hosted deployment; Need efficient pre-training or fine-tuning of large scale models. ### When should I choose gorilla over BMTrain? Choose gorilla over BMTrain when Requirements: Gorilla works best with Python environments and requires installation through pip or local repository cloning.; Tags unique to gorilla: api, chatgpt, claude-api, gpt-4-api; Also covers Evaluation & Observability; You should consider using Gorilla if you need a comprehensive framework for developing LLMs capable of leveraging external functions effectively. ### When should I avoid BMTrain? Seeking a tool that installs without compiling C/CUDA source code Require immediate setup; BMTrain's installation might be time-consuming due to compilation steps ### When should I avoid gorilla? Avoid Gorilla if your primary focus is not on function calling or tool usage capabilities for LLMs; another model-specific framework may better fit your needs. If the lack of a direct comparison tool to other models' function-calling performance is critical in your decision process, and you find no suitable alternatives listed on their leaderboard. ### Is BMTrain or gorilla more popular on GitHub? gorilla has more GitHub stars (13,017 vs 624). Stars measure visibility, not whether either tool fits your constraints. ### Are BMTrain and gorilla open source? Yes - both are open-source projects on GitHub (BMTrain: Apache-2.0, gorilla: Apache-2.0). ### Where can I find alternatives to BMTrain or gorilla? GraphCanon lists graph-backed alternatives at [BMTrain alternatives](/tools/openbmb-bmtrain/alternatives) and [gorilla alternatives](/tools/shishirpatil-gorilla/alternatives) ([BMTrain markdown twin](/tools/openbmb-bmtrain/alternatives.md), [gorilla markdown twin](/tools/shishirpatil-gorilla/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/openbmb-bmtrain-vs-shishirpatil-gorilla.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, BMTrain or gorilla? BMTrain: Slowing. gorilla: 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 BMTrain and gorilla? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [BMTrain trust report](/tools/openbmb-bmtrain/trust); [gorilla trust report](/tools/shishirpatil-gorilla/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=openbmb-bmtrain`](/api/graphcanon/graph?tool=openbmb-bmtrain) - 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/_