What are the hardware requirements for Tiny Random Aquilachat?

Tiny Random Aquilachat requires a context window of 0.1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tiny Random Aquilachat and how large is it?

Tiny Random Aquilachat is developed by katuni4ka, a model with 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 Tiny Random Aquilachat?

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

Tiny Random Aquilachat by katuni4ka — 0.1K context

Name: Tiny Random Aquilachat
Author: katuni4ka

Tiny Random Aquilachat is an open-source language model by katuni4ka. Features: 7b LLM, Context: 0.1K, LLM Explorer Score: 0.13.

Aquila Custom code Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/katuni4ka/tiny-random-aquilachat

Tiny Random Aquilachat Parameters and Internals

LLM Name	Tiny Random Aquilachat
Repository 🤗	https://huggingface.co/katuni4ka/tiny-random-aquilachat
Model Size	7b
Required VRAM	0 GB
Updated	2026-08-05
Maintainer	katuni4ka
Model Type	aquila
Model Files	0.0 GB
Model Architecture	AquilaForCausalLM
Context Length	64
Model Max Length	64
Transformers Version	4.40.1
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	100008
Torch Data Type	float32

Rank the Tiny Random Aquilachat 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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