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Yue S1 7B Anneal En Cot Exl2

Developed by Doctor-Shotgun
A quantized version based on the m-a-p/YuE-s1-7B-anneal-en-cot model using Exllamav2, suitable for text generation tasks, particularly excelling in music-related fields.
Downloads 94
Release Time : 1/31/2025

Model Overview

This model is a quantized 7B-parameter large language model primarily used for English text generation, especially suited for generating music-related content.

Model Features

Efficient quantization
Utilizes Exllamav2 quantization technology, providing multiple quantized versions with different bit widths (4.25bpw-h6 to 8.0bpw-h8).
Music domain optimization
Particularly suitable for text generation related to music.
Consistency maintenance
Maintains coherence in generated content even without adding audio tags, using default calibration data.

Model Capabilities

English text generation
Music-related content generation

Use Cases

Content creation
Music lyrics generation
Generate lyrics related to music
Can produce coherent and creative lyrics
Music review writing
Automatically generate music reviews or analyses
Can generate insightful music reviews
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