Vega-Instruct-13B

procedure2012/Vega-Instruct-13B

Vega-Instruct-13B is a feature extraction model from procedure2012. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as cc-by-4.0.

<div align="center" <img src="figures/fig1.png" width="60%" alt="Vega-Instruct-13B" / </div <hr

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At a glance

Task: Feature Extraction
Library: transformers
License: cc-by-4.0
Model type: bert
Access: Public
Created: Aug 5, 2026
Updated: Aug 5, 2026
SHA: 1c2c49db

Model card

From the Hugging Face model README

Vega-Instruct-13B

<div align="center"> <img src="figures/fig1.png" width="60%" alt="Vega-Instruct-13B" /> </div> <hr> <div align="center" style="line-height: 1;"> <a href="LICENSE" style="margin: 2px;"> <img alt="License" src="figures/fig2.png" style="display: inline-block; vertical-align: middle;"/> </a> </div>

1. Introduction

Vega-Instruct-13B is tuned for faithful instruction following and low hallucination. This release adds robust function-calling support.

2. Evaluation Results

Comprehensive Benchmark Results

	Benchmark	Polaris	Vega-7B	Castor-13B	Vega-Instruct-13B
Core Reasoning Tasks	Math Reasoning	0.573	0.569	0.589	0.621
	Logical Reasoning	0.803	0.815	0.824	0.849
	Common Sense	0.750	0.763	0.728	0.777
Language Understanding	Reading Comprehension	0.693	0.742	0.697	0.752
	Question Answering	0.620	0.593	0.634	0.643
	Text Classification	0.799	0.824	0.824	0.848
	Sentiment Analysis	0.772	0.757	0.776	0.815
Generation Tasks	Code Generation	0.682	0.711	0.699	0.720
	Creative Writing	0.654	0.641	0.654	0.688
	Dialogue Generation	0.684	0.646	0.645	0.694
	Summarization	0.757	0.755	0.754	0.800
Specialized Capabilities	Translation	0.817	0.782	0.774	0.823
	Knowledge Retrieval	0.661	0.677	0.667	0.712
	Instruction Following	0.773	0.770	0.772	0.793
	Safety Evaluation	0.735	0.733	0.736	0.773

</div>

Overall Performance Summary

The Vega-Instruct-13B demonstrates strong performance across all evaluated benchmark categories, with particularly notable results in reasoning and generation tasks.

3. Chat Website & API Platform

We offer a chat interface and API for you to interact with Vega-Instruct-13B. Please check our official website for more details.

4. How to Run Locally

Please refer to our code repository for more information about running Vega-Instruct-13B locally.

Temperature

We recommend setting the temperature parameter to 0.6.

5. License

This repository is released under the cc-by-4.0 license. The model supports commercial use.

6. Contact

If you have any questions, please contact us at contact@vega.ai.

Task: Feature Extraction
Library: transformers
Type: bert
License: cc-by-4.0
Created: Aug 5, 2026
Updated: Aug 5, 2026