What are the hardware requirements for Tiny Llama Miniguanaco?

Tiny Llama Miniguanaco requires approximately 2.2 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tiny Llama Miniguanaco and how large is it?

Tiny Llama Miniguanaco is developed by Corianas, a model with 1.1b 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 Tiny Llama Miniguanaco?

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

Tiny Llama Miniguanaco by Corianas — VRAM 2.2GB, 2K context

Name: Tiny Llama Miniguanaco
Author: Corianas

Tiny Llama Miniguanaco is an open-source language model by Corianas. Features: 1.1b LLM, VRAM: 2.2GB, Context: 2K, LLM Explorer Score: 0.09.

Endpoints compatible Llama Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Corianas/tiny-llama-miniguanaco

Tiny Llama Miniguanaco Parameters and Internals

Model Type

text generation

Training Details

Data Volume:

1T tokens

Methodology:

intermediate step at 480k

Input Output

Input Format:

pipe(f" ~~[INST] {prompt} [/INST]")

LLM Name	Tiny Llama Miniguanaco
Repository 🤗	https://huggingface.co/Corianas/tiny-llama-miniguanaco
Model Size	1.1b
Required VRAM	2.2 GB
Updated	2026-08-24
Maintainer	Corianas
Model Type	llama
Model Files	2.2 GB 2.2 GB
Model Architecture	AutoModelForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Tiny Llama Miniguanaco 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 Corianas/tiny-llama-miniguanaco.