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Tinymistral 248M

Developed by Locutusque
A language model scaled down from Mistral 7B to 248 million parameters, designed for text generation tasks and suitable for downstream task fine-tuning.
Downloads 1,127
Release Time : 11/14/2023

Model Overview

This model demonstrates that pretrained language models can be trained without large-scale datasets, using a single Titan V GPU, and supports long-context processing.

Model Features

Efficient Pretraining
Pretrained using only a single Titan V GPU, proving the feasibility of small-scale datasets.
Long Context Support
Supports context lengths of approximately 32,768 tokens, suitable for processing long text sequences.
Lightweight Design
Parameters scaled down to 248 million, balancing performance and resource consumption.

Model Capabilities

English Text Generation
Downstream Task Fine-tuning

Use Cases

Text Generation
Content Creation Assistance
Generate article drafts or creative text snippets.
Education & Research
Small-scale Language Model Research
Used to validate the performance of lightweight models on specific tasks.
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