# English Audio Processing

Static quantized version of Qwen2-Audio-7B-Instruct model, supporting English audio-to-text conversion tasks

A statically quantized model based on Menlo/Ichigo-llama3.1-s-instruct-v0.4, offering multiple quantization versions to suit different hardware requirements.

An audio classification model fine-tuned on the minds14 dataset based on facebook/wav2vec2-base

The Ichigo-llama3s series model is a multimodal language model developed by Homebrew Research, natively supporting audio and text input comprehension. Based on the Llama-3 architecture, it is trained using WhisperVQ as an audio file tokenizer, enhancing its audio understanding capabilities.

Automatic Speech Recognition (ASR) model trained on the LibriSpeech dataset