Use Gorilla OpenFunctions v2 for Free

Gorilla OpenFunctions v2 is an AI model released 2024 by gorilla-llm, a leading organization in large language model research. Berkeley Gorilla OpenFunctions v2 — purpose-built for accurate API function calling and tool use, rivaling GPT-4 on the Berkeley Function-Calling leaderboard. With 7B and a 4K tokens context window, Gorilla OpenFunctions v2 is designed to excel across a range of demanding tasks — from software engineering and mathematical problem-solving to multilingual content generation and long-document analysis.

Gorilla OpenFunctions v2 uses a dense transformer architecture with 7B of parameters, all of which are active for every input token. Dense architectures provide predictable, consistent behavior across diverse task types — there are no "cold" experts to warm up, and quality is uniform across prompts. gorilla-llm's training pipeline combined large-scale pretraining on 1,645 API documentation entries with supervised fine-tuning and alignment techniques (RLHF or DPO), producing Gorilla OpenFunctions v2's characteristic balance of capability, helpfulness, and safety.

As of 2026-10-16, Gorilla OpenFunctions v2 by gorilla-llm demonstrates measurable performance on standard AI evaluation benchmarks. On BFCL Overall — which measures model performance on specialized evaluation tasks — it achieves 88.5%. These scores place Gorilla OpenFunctions v2 — at 7B of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.

The primary strengths of Gorilla OpenFunctions v2 are: State-of-the-art function calling at release — trained on API documentation; Understands real-world APIs: Python, Java, JavaScript, REST; Apache 2.0. These make it particularly well-suited for Function calling in agentic frameworks, Building agents that interact with documented APIs. Users working on complex, multi-step problems benefit most from Gorilla OpenFunctions v2's ability to maintain coherence across long inputs and produce structured, verifiable outputs.

Like all current AI systems, Gorilla OpenFunctions v2 has limitations: 4K context limits complex function schemas; Superseded by Hermes 2 Pro and newer function-calling models. For production deployments, validating outputs against authoritative sources — especially for domain-specific or time-sensitive information — remains best practice. gorilla-llm continues to improve Gorilla OpenFunctions v2 through ongoing research.

Gorilla OpenFunctions v2 is available on LITHOVEX AI with a free account. Unlike direct API access — which requires billing setup, API key management, and per-token charges — LITHOVEX AI provides a seamless browser interface with no setup required, making Gorilla OpenFunctions v2 accessible to students, researchers, developers, and early-stage teams globally.

As of 2026-10-16, Gorilla OpenFunctions v2 by gorilla-llm demonstrates measurable performance on standard AI evaluation benchmarks. On BFCL Overall — which measures model performance on specialized evaluation tasks — it achieves 88.5%. These scores place Gorilla OpenFunctions v2 — at 7B of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.

Dense transformer, 7B, fine-tuned for function calling

The training pipeline for Gorilla OpenFunctions v2 involves multiple stages: large-scale pretraining on 1,645 API documentation entries to develop broad world knowledge, followed by supervised fine-tuning on instruction-response pairs, and alignment techniques such as RLHF or DPO. Each stage refines the model's helpfulness, accuracy, and safety. gorilla-llm's research team — based in United States — has optimized Gorilla OpenFunctions v2 for the specific capability profile described above.

Inference efficiency: Gorilla OpenFunctions v2 at 7B is designed to deliver quality outputs at practical serving speeds. Its 4K tokens context window enables processing entire documents, multi-file codebases, and extended conversation histories — particularly valuable for contract review, technical documentation analysis, and codebase-level AI assistance.

Getting started with Gorilla OpenFunctions v2 on LITHOVEX AI takes under two minutes. Follow these steps:

For best results with Gorilla OpenFunctions v2: provide specific, context-rich prompts; include examples when generating code; specify output format when structure matters; break complex tasks into focused sub-questions.

gorilla-llm is a leading organization in AI research and large language model development. Their team has built expertise across natural language processing, model architecture design, and alignment research. gorilla-llm's models are used by researchers, developers, and enterprises worldwide. Their commitment to advancing AI capability while maintaining responsible deployment practices has made them a respected contributor to the global AI ecosystem. The organization continues to publish research and release models that push the boundaries of what AI systems can achieve.

Founded: 2023, headquartered in United States.

Visit the official gorilla-llm website →

Gorilla OpenFunctions v2 by gorilla-llm competes in a field with several strong alternatives. Below is a detailed side-by-side comparison against commonly listed alternatives, using benchmark data and capability profiles in the catalog.

Both Gorilla OpenFunctions v2 and the models above are available free on LITHOVEX AI — test them side by side on your real tasks before committing to a subscription with any provider.

Gorilla OpenFunctions v2 is released under Apache 2.0, which means you can download and run it on your own hardware. Below are the quickest ways to get started.

Gorilla OpenFunctions v2 from UC Berkeley's Sky Computing Lab became a global reference for open-source function calling in 2024. AI agent builders worldwide who couldn't afford GPT-4's function calling costs adopted it as their open alternative for production API integration.

Gorilla OpenFunctions v2 by gorilla-llm has the following version history and notable updates:

For the complete changelog and latest release notes, visit the official gorilla-llm model page.