What are the hardware requirements for Gorilla Openfunctions V1 GPTQ?

Gorilla Openfunctions V1 GPTQ requires approximately 3.9 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 V1 GPTQ and how large is it?

Gorilla Openfunctions V1 GPTQ is developed by TheBloke, a model with 6.7b parameters. 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 GPTQ?

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

Gorilla Openfunctions V1 GPTQ by TheBloke — VRAM 3.9GB, 4K context

Name: Gorilla Openfunctions V1 GPTQ
Author: TheBloke

Gorilla Openfunctions V1 GPTQ is an open-source language model by TheBloke. Features: 6.7b LLM, VRAM: 3.9GB, Context: 4K, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.

4-bit Base model:gorilla-llm/gorilla... Base model:quantized:gorilla-l... Gptq Llama Quantized Region:us Safetensors

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

Gorilla Openfunctions V1 GPTQ Parameters and Internals

Model Type

llama

Additional Notes

The model has multiple quantisation parameter options for use in various hardware configurations as detailed on the Hugging Face page.

Input Output

Input Format:

USER: <> {prompt} <> {{function_string}} ASSISTANT:

LLM Name	Gorilla Openfunctions V1 GPTQ
Repository 🤗	https://huggingface.co/TheBloke/gorilla-openfunctions-v1-GPTQ
Model Name	Gorilla OpenFunctions V1
Model Creator	Gorilla LLM (UC Berkeley
Base Model(s)	Gorilla Openfunctions V1 gorilla-llm/gorilla-openfunctions-v1
Model Size	6.7b
Required VRAM	3.9 GB
Updated	2026-06-30
Maintainer	TheBloke
Model Type	llama
Model Files	3.9 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

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