What are the hardware requirements for Microllama Char 500K Step?

Microllama Char 500K Step requires approximately 0.3 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 Microllama Char 500K Step and how large is it?

Microllama Char 500K Step is developed by Corianas, a model with 85.2m 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 Microllama Char 500K Step?

Microllama Char 500K Step is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Microllama Char 500K Step by Corianas — VRAM 0.3GB, 2K context

Name: Microllama Char 500K Step
Author: Corianas

Microllama Char 500K Step is an open-source language model by Corianas. Features: 85.2m LLM, VRAM: 0.3GB, Context: 2K, License: cc-by-nc-sa-4.0, LLM Explorer Score: 0.12.

Dataset:roneneldan/tinystories Endpoints compatible Llama Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Corianas/Microllama_Char_500k_step

Microllama Char 500K Step Parameters and Internals

Model Type

character model

Additional Notes

The model is trained to recognize and output uppercase letters using a Shift-Key modifier (↨) instead of actual uppercase letters.

Supported Languages

English (full)

Training Details

Data Sources:

roneneldan/TinyStories, Internal similar dataset

Data Volume:

49,152,000,000 tokens

Input Output

Input Format:

character format with Shift-Key modifier for uppercase

Accepted Modalities:

text

Output Format:

character format with Shift-Key modifier for uppercase

LLM Name	Microllama Char 500k Step
Repository 🤗	https://huggingface.co/Corianas/Microllama_Char_500k_step
Model Size	85.2m
Required VRAM	0.3 GB
Updated	2026-08-22
Maintainer	Corianas
Model Type	llama
Model Files	0.3 GB 0.3 GB
Model Architecture	LlamaForCausalLM
License	cc-by-nc-sa-4.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.30.2
Vocabulary Size	341

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