What are the hardware requirements for Gorilla Openfunctions V1?

Gorilla Openfunctions V1 requires approximately 13.5 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 V1 and how large is it?

Gorilla Openfunctions V1 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 V1?

Gorilla Openfunctions V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gorilla Openfunctions V1 by gorilla-llm — VRAM 13.5GB, 4K context

Name: Gorilla Openfunctions V1
Author: gorilla-llm

Gorilla Openfunctions V1 is an open-source language model by gorilla-llm. Features: LLM, VRAM: 13.5GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.1.

Endpoints compatible Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/gorilla-llm/gorilla-openfunctions-v1

Gorilla Openfunctions V1 Parameters and Internals

Model Type

Large Language Model (LLM)

Use Cases

Areas:

API call generation

Applications:

Chat completion, Executable API call formulation

Primary Use Cases:

Formulating executable API calls from natural language instructions

Additional Notes

Gorilla OpenFunctions extends LLM Chat Completion to generate API calls.

LLM Name	Gorilla Openfunctions V1
Repository 🤗	https://huggingface.co/gorilla-llm/gorilla-openfunctions-v1
Required VRAM	13.5 GB
Updated	2026-08-06
Maintainer	gorilla-llm
Model Type	llama
Model Files	10.0 GB: 1-of-2 3.5 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	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Gorilla Openfunctions V1 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

Quantized Models of the Gorilla Openfunctions V1

Model	Likes	Downloads	VRAM
Gorilla Openfunctions V1 GGUF	17	304	2 GB
Gorilla Openfunctions V1 GPTQ	5	7	3 GB
Gorilla Openfunctions V1 AWQ	0	11	3 GB

Best Alternatives to Gorilla Openfunctions V1

Best Alternatives	Context / RAM	Downloads	Likes
LWM Text 512K	512K / 13.5 GB	13	2
LWM Text Chat 512K	512K / 13.5 GB	9	2
LWM Text Chat 256K	256K / 13.5 GB	10	3
LWM Text 256K	256K / 13.5 GB	5	3
Pallas 0.5 LASER 0.1	195K / 68.9 GB	52	2
SnorTTS Indic V0	128K / 9.5 GB	518	22
Orpheus AUS	128K / GB	18	0
Finetuning Health Ci	128K / 6.5 GB	23	2
Ukr Synth Phi 3.5	128K / 7.6 GB	9	0
WizardLM Phi 3.5	128K / 7.6 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than gorilla-llm/gorilla-openfunctions-v1.