What are the hardware requirements for Gorilla Openfunctions V2?

Gorilla Openfunctions V2 requires approximately 13.9 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gorilla Openfunctions V2 and how large is it?

Gorilla Openfunctions V2 is developed by gorilla-llm. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Gorilla Openfunctions V2?

Gorilla Openfunctions V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gorilla Openfunctions V2 by gorilla-llm — VRAM 13.9GB, 4K context

Name: Gorilla Openfunctions V2
Author: gorilla-llm

Gorilla Openfunctions V2 is an open-source language model by gorilla-llm. Features: LLM, VRAM: 13.9GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.12.

Conversational Endpoints compatible Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/gorilla-llm/gorilla-openfunctions-v2

Gorilla Openfunctions V2 Parameters and Internals

Model Type

LLM, Executable API Calls

Use Cases

Areas:

Research, Commercial applications

Applications:

LLM Chat Completion, Executable API Calls

Primary Use Cases:

API functions execution, Natural Language to API calls

Limitations:

Only computer science related questions answered

Considerations:

Use cautiously in politically sensitive or non-computer science scenarios.

Additional Notes

The model extends the LLM Chat Completion feature to formulate API calls.

Supported Languages

English (High proficiency)

Training Details

Data Sources:

Deepseek model

Data Volume:

Unknown

Methodology:

Unknown

Training Time:

Unknown

Input Output

Input Format:

String prompts with functions list

Accepted Modalities:

text

Output Format:

JSON with function name and parameters

Performance Tips:

Ensure properly formatted JSON for intended results.

LLM Name	Gorilla Openfunctions V2
Repository 🤗	https://huggingface.co/gorilla-llm/gorilla-openfunctions-v2
Required VRAM	13.9 GB
Updated	2026-08-04
Maintainer	gorilla-llm
Model Type	llama
Model Files	10.0 GB: 1-of-2 3.9 GB: 2-of-2
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.34.1
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	102400
Torch Data Type	bfloat16

Rank the Gorilla Openfunctions V2 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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Note: green Score (e.g. "73.2") means that the model is better than gorilla-llm/gorilla-openfunctions-v2.