What are the hardware requirements for Toolpaca?

Toolpaca requires approximately 52.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Toolpaca and how large is it?

Toolpaca is developed by chavinlo. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

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

Name: Toolpaca
Author: chavinlo

Toolpaca is an open-source language model by chavinlo. Features: LLM, VRAM: 52.1GB, LLM Explorer Score: 0.06.

LLM Name	Toolpaca
Repository 🤗	https://huggingface.co/maicomputer/toolpaca
Required VRAM	52.1 GB
Updated	2026-07-27
Maintainer	chavinlo
Model Type	llama
Model Files	10.0 GB: 1-of-6 9.9 GB: 2-of-6 9.9 GB: 3-of-6 9.9 GB: 4-of-6 9.9 GB: 5-of-6 2.5 GB: 6-of-6 0.0 GB
Model Architecture	LLaMAForCausalLM
Model Max Length	512
Transformers Version	4.27.0.dev0
Tokenizer Class	LLaMATokenizer
Vocabulary Size	32001
Torch Data Type	float32

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

Best Alternatives	Context / RAM	Downloads	Likes
Panther V1	2K / 0 GB	199	1
BigTranslate	0K / 26.5 GB	83	51
Toolpaca	0K / 52.1 GB	7	37
Gpt4 X Alpaca	0K / 52.1 GB	35	1
Guanaco Dumbdumb	0K / 0 GB	6	1
Llama13b 4bit V2	0K / 7 GB	9	5

Note: green Score (e.g. "73.2") means that the model is better than maicomputer/toolpaca.