What are the hardware requirements for Tinyllama 2 1B Miniguanaco GGUF?

Tinyllama 2 1B Miniguanaco GGUF requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tinyllama 2 1B Miniguanaco GGUF and how large is it?

Tinyllama 2 1B Miniguanaco GGUF is developed by TheBloke, a model with 1b 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 Tinyllama 2 1B Miniguanaco GGUF?

Tinyllama 2 1B Miniguanaco GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tinyllama 2 1B Miniguanaco GGUF by TheBloke — VRAM 0.5GB

Name: Tinyllama 2 1B Miniguanaco GGUF
Author: TheBloke

Tinyllama 2 1B Miniguanaco GGUF is an open-source language model by TheBloke. Features: 1b LLM, VRAM: 0.5GB, License: other, Quantized, LLM Explorer Score: 0.1.

Base model:abdgrt/tinyllama-2-... Base model:quantized:abdgrt/ti... Gguf Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/Tinyllama-2-1b-miniguanaco-GGUF

Tinyllama 2 1B Miniguanaco GGUF Parameters and Internals

Model Type

llama

Input Output

Input Format:

### Human: {prompt} ### Assistant:

LLM Name	Tinyllama 2 1B Miniguanaco GGUF
Repository 🤗	https://huggingface.co/TheBloke/Tinyllama-2-1b-miniguanaco-GGUF
Model Name	Tinyllama 2 1B MiniGuanaco
Model Creator	Odunusi Abraham Ayoola
Base Model(s)	Tinyllama 2 1B Miniguanaco abdgrt/Tinyllama-2-1b-miniguanaco
Model Size	1b
Required VRAM	0.5 GB
Updated	2026-07-27
Maintainer	TheBloke
Model Type	llama
Model Files	0.5 GB 0.6 GB 0.6 GB 0.5 GB 0.6 GB 0.7 GB 0.6 GB 0.8 GB 0.8 GB 0.8 GB 0.9 GB 1.2 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	other

Rank the Tinyllama 2 1B Miniguanaco GGUF 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

Best Alternatives to Tinyllama 2 1B Miniguanaco GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Triangulum 1B GGUF	0K / 0.8 GB	43	1
Llama Deepsync 1B GGUF	0K / 0.8 GB	10	3
... SmolTalk 3.2 1B Instruct GGUF	0K / 0.8 GB	107	4
Mergekit Slerp Ozbsicw GGUF	0K / 2.5 GB	626	0
Tinyllama 1B Alpaca Gguf	0K / 0.7 GB	30	0
Prem 1B Chat GGUF	0K / 0.7 GB	26	1
Bagel DPO 8x7b V0.2 GGUF	0K / 17.3 GB	222	6
Bagel 8x7b V0.2 GGUF	0K / 15.6 GB	160	8
Medical	0K / 0 GB	15	0
Llama 3.2 1B Creative Lora	0K / 0 GB	0	4

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Tinyllama-2-1b-miniguanaco-GGUF.